241 Probability courses delivered Online

Register on the Overcoming OCD with Mindfulness & CBT today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as proof of your course completion. The Overcoming OCD with Mindfulness & CBT is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Overcoming OCD with Mindfulness & CBT Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Online study materials Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Upon successful completion of the final assessment, you will be eligible to apply for the Quality Licence Scheme Endorsed Certificate of achievement. This certificate will be delivered to your doorstep through the post for £59. An extra £10 postage charge will be required for students leaving overseas.  CPD Accredited Certificate After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Overcoming OCD with Mindfulness & CBT, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Overcoming OCD with Mindfulness & CBT Introduction 00:01:00 Course Outline 00:03:00 What is Mindfulness? 00:03:00 Basic Concept of Mindfulness 00:07:00 Cognitive Therapy 00:04:00 Behavioral Therapy 00:05:00 Obsessive Cycle 00:02:00 Acceptance 00:02:00 Assessment 00:03:00 Action 00:01:00 Nature of Thoughts 00:03:00 Cognitive Theory of Emotional Problems 00:03:00 Compulsion & Impairment 00:03:00 How did you develop OCD? 00:03:00 Psychological Vulnerabilities 00:05:00 Triggering Events 00:03:00 Probability & Awfulness 00:03:00 Superstition & Magical Thinking 00:02:00 Not trusting your sense 00:04:00 The Vicious Flower 00:02:00 Understanding your problem 00:04:00 Rumination & Religion 00:04:00 Starting to tackle your problem 00:03:00 Break Free from OCD 00:03:00 Choosing to Change 00:03:00 Mental Disorders 00:04:00 Family & Friends 00:05:00 Life After OCD 00:03:00 Conclusion 00:02:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Learn how to use this innovative tool to analyse and validate your schedule, to add and model uncertainty and risk and to work with updated plans to compare project progress. Course overview Duration: 1 day (6.5 hours) This course looks at the powerful features of Nodes and Links. It looks at analysing and validating your schedule, adding uncertainty and risk and working with updated plans to compare project progress. Hands on practice will be gained throughout the course to ensure you can confidentially put your new skills into practice back in the workplace. This course is designed for new users of Nodes and links, no previous experience is required. You should however be familiar with risk management processes and terminology. Objectives  By the end of the course you will be able to: Import and validate plans Analyse and review plans Add and model uncertainty Add and model risk Load updated schedules Re run analysis on updated schedules Content Validating your plan Importing a baseline plan Running a health check Analysing the results Reviewing the plan Analysing critical paths Reviewing activities Reviewing resources Adding Uncertainty Setting uncertainty templates Distributions Adding uncertainty Using Inherit Using AI Reviewing activity distributions Modelling Uncertainty Running the Analysis Reviewing the results Reviewing activity results Risk Drivers Filtering for activities Setting up the Risk Register Setting Risk Templates Adding Risks to the Risk Register Independent vs Dependant Events Setting Probability and Impact Modelling Uncertainty and Risk Mapping risks to activities Running the Analysis Reviewing the results Updated Plans Importing a new plan version Comparing plans Tracking progress Trend analysis Analysing Updated Plans Using updated plans Synchronising uncertainly and risk Rerunning analysis

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Get started with Neural networks and understand the underlying concepts of Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks. This hands-on course will help you understand deep learning in detail with no prior coding or programming experience required.

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Unit 1-Number Lesson 1.1: Number Lesson 1.2: Fractions and Decimals. Lesson 1.3: Percentages. Lesson 1.4: Ratios Lesson 1.5: Formulas Mock Assessment 1 Mock Assessment 1 Unit 2-Measures, Shapes and Space Lesson 2.1: Money. Lesson 2.2: Length, Weight Capacity. Lesson 2.3: Time. Lesson 2.4: Perimeter. Lesson 2.5: Area and Volume. Lesson 2.6: 2D Shapes. Lesson 2.7: Nets Plans and Elevations Lesson 2.8: Angles, Bearings, Maps and Map Scales Mock Assessment 2 Mock Assessment 2 Unit 3-Handling Data and Information Lesson 3.1: Tables Lesson 3.2: Charts and Graphs Lesson 3.3: Grouped Data Lesson 3.4: Mean Range Lesson 3.5: Probability Mock Assessment 3 Mock Assessment 3 Formula Sheet FS Maths Formula Sheet Final Assessment Final Assessment Important Exam Information Important Exam Information – Functional Skills Maths Level 1 Course  

This course covers the basic concepts of machine learning (ML) that are crucial for getting started on the journey of becoming a skilled ML developer. You will become familiar with different algorithms and networks, such as supervised, unsupervised, neural networks, Convolutional Neural Network (CNN), and Super-Resolution Convolutional Neural Network (SRCNN), needed to develop effective ML solutions.

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

A step-by-step guide that walks you through the fundamentals of Python programming followed using Python libraries to create random forest from scratch. A comprehensive course designed for both beginners with some programming experience or even those who know nothing about ML and random forest!

Overview This comprehensive course on Functional Skills Maths - Level 1 (Updated 2022) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Functional Skills Maths - Level 1 (Updated 2022) comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Functional Skills Maths - Level 1 (Updated 2022). It is available to all students, of all academic backgrounds. Requirements Our Functional Skills Maths - Level 1 (Updated 2022) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 24 sections • 114 lectures • 11:37:00 total length •Lecture 1: Introduction Video: 00:02:00 •Lecture 2: Quick Guide: 00:01:00 •Lecture 1: Read & Write Large Numbers Part 1: 00:08:00 •Lecture 2: Read & Write Large Numbers Part 2: 00:13:00 •Lecture 3: Compare and Order Large Numbers: 00:12:00 •Downloadable Resources: 00:00:00 •Lecture 1: Why do you Round off a Number?: 00:03:00 •Lecture 2: Rounding off techniques: 00:07:00 •Lecture 3: Practice Problems Part 1: 00:09:00 •Lecture 4: Practice Problems Part 2: 00:08:00 •Lecture 5: Rounding to Significant Figures: 00:15:00 •Downloadable Resources: 00:00:00 •Lecture 1: Number System: 00:07:00 •Lecture 2: Integers and Ordering of Integers: 00:08:00 •Lecture 3: Addition and Subtractions of Integers: 00:10:00 •Lecture 4: Operations on Integers: 00:06:00 •Lecture 5: Multiplication and Division of Integers: 00:07:00 •Downloadable Resources: 00:00:00 •Lecture 1: Factors and Multiples Basics: 00:07:00 •Lecture 2: Divisibility tests for 2,3,4,5,6: 00:07:00 •Lecture 3: Divisibility tests for 7,8,9,10,11: 00:11:00 •Lecture 4: Prime Factorisation: 00:13:00 •Lecture 5: Highest Common Factor HCF: 00:13:00 •Lecture 6: HCF - Division Method: 00:10:00 •Lecture 7: Least Common Multiple LCM: 00:14:00 •Downloadable Resources: 00:00:00 •Lecture 1: Classification of Fractions: 00:09:00 •Lecture 2: Convert mixed to improper and improper to mixed fractions: 00:05:00 •Lecture 3: Equivalent Fractions: 00:07:00 •Lecture 4: Comparing Fractions after converting to like fractions: 00:09:00 •Lecture 5: Reducing a fraction to the lowest term: 00:05:00 •Lecture 6: Addition & Subtraction of fractions: 00:09:00 •Lecture 7: Multiplication and Division of Fractions: 00:11:00 •Lecture 8: Find Fractions of whole number quantities or measurements: 00:08:00 •Downloadable Resources: 00:00:00 •Lecture 1: Expanded form of Decimals: 00:08:00 •Lecture 2: Expanded form to Decimal form: 00:03:00 •Lecture 3: Writing fractions to Decimals: 00:04:00 •Lecture 4: Converting Decimals to a fraction: 00:05:00 •Lecture 5: Like & Unlike Decimals: 00:04:00 •Lecture 6: Comparing & Ordering Decimal Numbers: 00:09:00 •Lecture 7: Addition and Subtraction of Decimals: 00:06:00 •Lecture 8: Multiplication of Decimals: 00:07:00 •Lecture 9: Division of Decimals: 00:06:00 •Downloadable Resources: 00:00:00 •Lecture 1: Multiply whole numbers and decimals by 10,100 & 1000: 00:09:00 •Lecture 2: Divide whole numbers and decimals by 10,100 & 1000: 00:05:00 •Downloadable Resources: 00:00:00 •Lecture 1: Squaring of one-digit and two-digit numbers: 00:06:00 •Lecture 1: Simple Formula in words for one step or two steps operations: 00:09:00 •Downloadable Resources: 00:00:00 •Lecture 1: Intro to the metric system: 00:09:00 •Lecture 2: Length, Mass & Capacity: 00:10:00 •Lecture 3: Length, Mass & Capacity Addition & Subtraction: 00:05:00 •Lecture 1: Converting 12-hour time to a 24-hour time: 00:04:00 •Lecture 2: Converting 24-hour time to a 12-hour time: 00:05:00 •Lecture 3: Conversion to different units of Time: 00:09:00 •Lecture 4: Addition with Time: 00:08:00 •Lecture 5: Subtraction with Time: 00:08:00 •Lecture 6: Multiplication with Time: 00:07:00 •Lecture 7: Division with Time: 00:06:00 •Lecture 8: Finding Time interval between given timings Part 1: 00:05:00 •Lecture 9: Finding Time interval between given timings Part 2: 00:10:00 •Lecture 10: Past Paper problem Q1: 00:02:00 •Lecture 11: Past Paper problem Q2: 00:02:00 •Lecture 12: Past Paper problem Q3: 00:05:00 •Lecture 13: Past Paper problem Q4: 00:03:00 •Lecture 14: Past Paper problem Q5: 00:02:00 •Lecture 1: Order of Operations - PEMDAS: 00:10:00 •Lecture 2: Practice Problems on - PEMDAS: 00:05:00 •Downloadable Resources: 00:00:00 •Lecture 1: Estimation and approximation: 00:07:00 •Lecture 2: Estimation using Fractions and Decimals: 00:03:00 •Lecture 1: Simple Ratio and Direct Proportion Part 1: 00:09:00 •Lecture 2: Simple Ratio and Direct Proportion Part 2: 00:04:00 •Lecture 3: Simple Ratio and Direct Proportion Part 3: 00:04:00 •Lecture 1: Scale Drawing: 00:06:00 •Lecture 1: What is the meaning of Percentage?: 00:02:00 •Lecture 2: Percentage to Fraction: 00:07:00 •Lecture 3: Percentage of a quantity and conversation to Decimal: 00:05:00 •Lecture 4: Expressing one Quantity as a Percentage of another Quantity: 00:07:00 •Lecture 5: Calculate Percentages of amounts, increase, decrease by 5,10,15%: 00:11:00 •Lecture 1: Calculate simple interest in multiples of 5% on amounts of money: 00:11:00 •Lecture 2: Calculate discounts in multiples of 5% on amounts of money: 00:08:00 •Downloadable Resources: 00:00:00 •Lecture 1: Problems based on Money: 00:06:00 •Downloadable Resources: 00:00:00 •Lecture 1: What is statistics?: 00:04:00 •Lecture 2: Representation of discrete data in Tables: 00:11:00 •Lecture 3: One-way Tables: 00:03:00 •Lecture 4: Two-way Tables: 00:04:00 •Lecture 5: Grouping of a discrete data Part 1: 00:05:00 •Lecture 6: Grouping of a discrete data Part 2: 00:04:00 •Lecture 7: Represent discrete data in Bar Charts (Graphs)Part 1: 00:08:00 •Lecture 8: Represent discrete data in Bar Charts (Graphs)Part 2: 00:07:00 •Lecture 9: Pie Charts (Circle graphs) Part 1: 00:08:00 •Lecture 10: Pie Charts (Circle graphs) Part 2: 00:05:00 •Lecture 11: Pie Charts (Circle graphs) Part 3: 00:08:00 •Lecture 12: Mean & Range: 00:09:00 •Downloadable Resources: 00:00:00 •Lecture 1: Probability on a scale from 0 to 1: 00:12:00 •Lecture 2: Probabilities of simple events Part 1: 00:03:00 •Lecture 3: Probabilities of simple events Part 2: 00:06:00 •Downloadable Resources: 00:00:00 •Lecture 1: Lines & Angles: 00:08:00 •Lecture 2: Introduction to Triangles: 00:05:00 •Lecture 3: Polygons: 00:05:00 •Lecture 4: More 2D Figures: 00:07:00 •Lecture 5: Line symmetry: 00:05:00 •Lecture 1: Area & Perimeter Part 1: 00:08:00 •Lecture 2: Area & Perimeter Part 2: 00:06:00 •Lecture 3: Area & Perimeter Part 3: 00:08:00 •Downloadable Resources: 00:00:00 •Lecture 1: Calculation of the volumes & Surface Area of cubes and cuboids: 00:08:00

Our expert-designed Functional Skills Maths Level 2 Course has smart learning options that provide the necessary Level 2 numeracy knowledge and skills to excel in Functional Skills Maths. Level 2 Maths Course Highlights: This qualification is equivalent to GCSE grade C or 4 Take the Exam from Home – Guaranteed Fast Track Results Exam Booking within 2 Working Days of Enrolment Remote Exam Online or Paper based both option available Course Duration: 55 hours Unlimited Access to Course Materials Get Free Mock Tests & Free Past Papers Extra 25% Time for people with Learning Difficulties NCFE, Pearson Edexcel, Open Awards and TQUK are all OFQUAL-regulated and nationally recognised Exam slots are available 24*7 from Monday to Sunday. If you are in a rush and would like to book your exam sooner, then you can book your remote online exam within 3 working days for Open Awards, 1 working day of enrolment for NCFE and within 7 working days for Pearson Edexcel. Please note the exam price advertised on the website for the Open Awards remote invigilation exam is applicable for weekdays (Monday to Friday between 9 am to 5 pm). If you would like to book the Open Awards remote invigilation exam at the weekend then there is an additional £25+Vat applicable. The new assessment and result dates by NCFE are: (Only applicable if you are attending the exam in between the following assessment date). Delivery mode: On-screen and RI Assessment date to and from: 16/09/2024 – 25/10/2024 Results release: 01/11/2024 The new assessment and result dates by Open Awards is: (Only applicable if you are attending the exam in between the following assessment date). Delivery mode: Remote Assessment date to and from: 02/09/2024 – 13/09/2024 Results release: 11/10/2024 Delivery mode: Remote Assessment date to and from: 04/11/2024 – 15/11/2024 Results release: 13/12/2024 (Note that this only applies to the mentioned exam type and if you book the exam during the dates mentioned above. Also, this will not affect the schedule of the other exam types and results.) Christmas Holiday Information For our remote invigilation service of Functional Skills qualifications, the last accepted booking will be on 19th December 2024. We will reopen for bookings from 3rd January 2025. Results Release For Open Awards: Any results from assessments taken after 30th November 2024 will be published after 2nd January 2025. For NCFE Exams: Results from assessments taken after 11th December 2024 will also be published after 2nd January 2025. Additionally, the period between 20th December 2024 and 2nd January 2025 will not be counted as “working days” for the result release timeframes. Please plan your assessment bookings accordingly. Our last results release prior to Christmas will be on 20th December 2024, with the next results release taking place on 3rd January 2025. Why is this course right for you? Our course is tailored to meet your specific needs and help you achieve your academic and career goals from the comfort of your home. You also get the opportunity to book Live 1:1 tutor support via Microsoft Teams. FREE mock test, personalised feedback and remote exams, our Maths Level 2 Course ensures a comprehensive and engaging learning experience. What you will learn from this course? Gain comprehensive knowledge about functional skills maths Understand the core competencies and principles of functional skills maths Explore the various areas of functional skills maths Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert math teacher Exam Details Exam slots are available 24*7 from Monday to Sunday. If you are in a rush and would like to book your exam sooner, then you can book your remote online exam within 3 working days for Open Awards, 1 working day of enrolment for NCFE, 2 working days of enrolment for TQUK and within 7 working days for Pearson Edexcel. Please note the exam price advertised on the website for the Open Awards remote invigilation exam is applicable for weekdays (Monday to Friday between 9 am to 5 pm). If you would like to book the Open Awards remote invigilation exam at the weekend then there is an additional £25+Vat applicable. [/gcse-course-accordion-content][gcse-course-accordion-content title="EXAM Booking & Results Details"] You can decide the exam date and place according to your convenience. Awarding Body Paper-Based Exam in Centre On-Screen Exam in Centre Remote Online Exam – From Home Results Edexcel Book within 15 days Book within 24 Hours Book within 7 working days Get results in 20 working days NCFE Book within 10 working days Book within 24 Hours Book within 2 working days Get results in only 7 days Open Awards N/A N/A Book within 2 working days Get results in only 16 working days TQUK Book within 7 working days Book within 24 Hours Book within 2 working days Get results in only 6 working days *Offline examinations will be held at our Swindon and London centres. Please contact us for more information.Difference between NCFE, Pearson Edexcel and Open Awards and TQUK. Difference between NCFE, Pearson Edexcel and Open Awards and TQUK NCFE, TQUK, Pearson Edexcel and Open Awards are OFQUAL-regulated and nationally recognised; however, the only difference lies in the exam booking and result turn-around time. You can book your remote online exam within 2 working days of enrolment for NCFE, within 7 working days for Pearson Edexcel, 2 working days of enrolment for TQUK and within 3 working days for Open Awards. You can get your NCFE results in 7 days, your Edexcel results in 20 working days, your TQUK results in 6 working days and your Open Awards results within 16 working days. Universities and apprenticeships accept all of the awarding bodies. This distinction allows learners to choose the awarding body that aligns best with their educational and career goals. Entry Requirements This level 2 maths qualification is available to all students of all academic backgrounds; no experience or previous qualifications are required. However, you will require a laptop/desktop computer and a good internet connection. Exam Structure The Functional Skills NCFE, Pearson Edexcel, TQUK and Open Awards Qualification in Mathematics Level 2 consist of one externally assessed assessment that comprises two sections- a non-calculator section (calculator prohibited) and a calculator section (calculator permitted). The assessments are available as paper-based and onscreen, on-demand assessments. Section A (Non-calculator) Awarding Body Exam Duration Total Marks Questions Cover Edexcel 25 minutes 16 25% NCFE / Open Awards / TQUK 30 minutes 15 25% Section B (Calculator) Awarding Body Exam Duration Total Marks Questions Cover Edexcel 1 hour 30 minutes 48 75% NCFE / Open Awards / TQUK 1 hour 30 minutes 45 75% Pass Mark (Edexcel): Learners are required to achieve an overall (from sections A and B) (59%) mark to pass the exam. Pass Mark (NCFE): Learners are required to achieve an overall (from sections A and B) (57% – 62%) mark to pass the exam. Please note that the marks vary for individual exam papers, so for all the exam papers, the pass marks are not fixed for the NCFE exam. Pass Mark (Open Awards): Pass Marks for L 2 functional skills maths assessments vary per assessment version and are set following standardisation and awarding activities. Each Maths assessment is designed to enable a minimally competent learner to achieve a pass mark of 36 out of 60. However, the awarding process will determine specifically where the pass mark sits for each assessment version. Therefore, the pass mark may vary between assessments. Pass Mark (TQUK): Pass Marks for level 2 functional skills maths assessments vary per assessment version and are set following standardisation and awarding activities. Assessment This math's level 2 course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Recognised Accreditation This Functional Skills Maths Level 2 has been independently accredited by Pearson Edexcel, NCFE, TQUK and Open Awards, also regulated by Ofqual. The Office of Qualifications and Examinations Regulation (Ofqual) is responsible for regulating qualifications, assessments, and examinations in England. Pearson Edexcel is the most prestigious awarding body, for an academic and vocational qualifications. Pearson Edexcel qualifications are regulated by Ofqual and recognised by universities and employers across the world. NCFE is a charity and awarding organisation that provides qualifications in England, Wales, and Northern Ireland. It is regulated by Ofqual in England and recognised in Wales and Northern Ireland. Open Awards is an awarding organisation that offers a wide range of qualifications across various sectors, including education, health and social care, and business. Their qualifications are regulated by Ofqual and are designed to meet the needs of learners and employers. Open Awards also works closely with educational institutions and employers to ensure their qualifications are relevant and up-to-date. TQUK is an awarding organisation approved by Ofqual and offers RQF courses in a variety of sectors. RQF courses have different credit values that can be applied to the National Credit Transfer System. TQUK accredits courses developed by industry experts and collaborates with organisations to ensure the quality and value of the courses provided. Additional Features Access to On-Demand Classes Opportunity to Book 1:1 Live Tutor Support via Microsoft Teams. Enrol in Our Course and Prepare for the Exam from Home Get a Free Mock Test with Professional Feedback Course Curriculum Unit 1: Number Lesson 1.1: Numbers and the Number System Unit 1: Number The number system gives you a general insight into the mathematical operations regarding the given numbers. You will acquire skills in division, multiplication, addition and subtraction, which require steps in real-life contexts. Lesson 1.2: Fractions and Decimals You will be learning many types of fractions, including improper fractions, proper fractions, equivalent fractions and more. Along with this, you will learn Ordering Decimal Numbers, Subtracting Decimals, multiplying and dividing decimals and more, which enables you to apply real-world problem-solving. Lesson 1.3: Percentages You will learn to calculate the Percentage and how to express a Number as a Percentage of Another. Interpreting the Original Value, Calculating Percent Increase and Decrease, and so on. This learning you can easily apply in real-life counting issues along with increasing your rational thinking. Lesson 1.4: Ratio and Proportion You will be learning to calculate the Total Amounts using Ratios, direct Proportion, Inverse Proportion and many more things, which help you in doing comparisons, learning science and engineering and more. Lesson 1.5: Formula You will learn the definition of formulas Formula Using Words, Multi-Step Formulas, Formula Using Letters and so on. Learning formulas has a large impact on real life as these formulas are used extensively in measuring, building infrastructure and more. Unit 2: Measures, Shapes and Space Lesson 2.1: Money Math You will be mastering Solving Money Related Questions, including percentage-based discounts, discounts Related to Fractions, Profit and Percentage, etc. This money math learning will help you to understand money-earning and saving-related issues that you face in daily activities. Lesson 2.2: Units You will learn units and Types of Units, Units of Weight, Units of Length, Units of Capacity, etc. Also, you will gain knowledge about steps to convert between Metric Units, Imperial to Imperial Conversions, and Other Unit Conversions will help pursue a higher university degree. Lesson 2.3: Speed and Density You will be clearing the concept of speed, calculations to find out distance and time, density, Relation between Density, Weight and Volume. Lesson 2.4: Perimeter You will learn to find perimeter and area, Circle, perimeter of triangle etc. which require in measurement, design and planning and so on. Lesson 2.5: Area and Shapes You will gain skills in formulas for calculating area, finding areas of complex shapes, applying area calculations in complex questions, different Types of 3D Shapes, surface area, finding the surface area of complex 3D Shapes, using nets, plans and elevations, etc. learning about area and shapes will certainly help you in building your dream home and more. Lesson 2.6: Volume In the volume classes, you will learn Formulas for calculating volume, Questions based on volumes of different 3D Shapes, finding the Scale in a Diagram, Making Scale Drawings, which are required in building critical thinking skills and more. Lesson 2.7: Coordinates & Angles You will be learning necessary things about the coordinate Grid, How to Read Coordinates on a Grid? Plotting Points on a Grid and more which extensively requires in making video games, medical imaging, physics and more. Unit 3: Handling Data and Information Lesson 3.1: Median and Mode You will be learning about median and mode, which is one of the most interesting mathematical chapters. As you will know how to find the median and mode from the sets of numbers, you can easily implement such learning in household work and other places as well. Lesson 3.2: Mean and Range You will be able to find the mean, median and mode. Knowing how to find these is highly important in all aspects of life. Lesson 3.3: Probability You will learn Probability: Definition and Meaning, Calculating Probabilities, Probability of Something Happening and Something Not Happening, etc. Once you know how to find probability, you can easily detect business profit loss and implement other parts of your life. FAQ How to pass functional skills maths level 2? To pass Functional Skills Maths Level 2, it's essential first to understand the format and content of the exam. Make sure to practise regularly, using past papers and other resources, whether it's textbooks, online courses, or one-on-one tutoring, and seek help when needed. Study Plex's course on Functional Skills Maths Level 2 is an excellent option for those looking for comprehensive and practical study materials with expert guidance and support. With practice tests, quizzes, and one-on-one support, you'll have everything you need to succeed. Can you do functional skills level 2 maths online? Yes, it is possible to do Functional Skills Level 2 Maths online. Many course providers offer online education courses for Functional Skills Maths, including StudyPlex. Their online course includes video lectures, interactive quizzes, and practice tests to help learners prepare for the exam. With online courses, learners have the flexibility to study at their own pace and on their own schedule. Do universities accept functional skills maths level 2? Functional Skills Maths qualifications at Level 2 demonstrate your ability in numeracy and are equivalent to a GCSE level 4 or grade C, making them widely accepted by universities for various courses. However, it's important to check the admission requirements of the university you're interested in. Additionally, some universities may require higher levels of maths proficiency depending on the course of study. How hard is functional skills level 2 maths? Functional Skills Maths Level 2 can be challenging for some individuals, especially those not confident in their math skills. However, the difficulty level can be manageable with proper preparation and practice. The exam covers topics such as algebra, geometry, statistics, and probability, which require a good understanding of mathematical concepts and problem-solving skills. It's important to note that Level 2 is equivalent to a GCSE C or above, so it's considered to be at a relatively high level of difficulty. How many marks to pass functional skills level 2 maths? The Functional Skills NCFE and Pearson Edexcel Qualification in Mathematics at Level 2 consist of one externally assessed assessment with two sections: a non-calculator section and a calculator section. The non-calculator section is 25% of the exam, while the calculator section is 75%. To pass the exam, learners must achieve an overall mark of 59% in both sections. How many questions in functional skills level 2 maths? The number of questions in Functional Skills Maths Level 2 can vary depending on the exam board, but typically there are around 35 to 40 questions across both sections of the exam. How to get functional skills maths level 2? You have several options available to obtain Functional Skills Maths Level 2. Enrolling in a course that prepares you for the exam is a common way, and many colleges, adult education centres, and online learning platforms like StudyPlex offer such courses. You can also self-study using textbooks, online resources, and practice exams. Additionally, if you are participating in an apprenticeship or job training program, your employer may offer Functional Skills Maths Level 2 training. Hiring a private tutor is also an option. Once prepared, you can register through an accredited exam centre. How to revise for functional skills maths level 2? You should start by identifying your strengths and weaknesses, creating a study plan, and using study resources such as textbooks, online resources, practice exams, and past papers to revise for Functional Skills Maths Level 2. It's also important to practise as much as possible and seek help when needed. StudyPlex's Level 2 Maths course provides opportunities to facilitate revision, including access to online resources, practice exams, and past papers. The course also includes tutor support and feedback to help you identify areas for improvement and work towards achieving success in the exam. Is functional skills level 2 maths easy? Although Functional Skills Level 2 Maths is less complex and faster to finish than GCSE Maths, it is still essential to have good subject proficiency to pass the exam as it is recognised as equivalent to a C/4 grade in GCSE Maths. Is functional skills level 2 maths equivalent to gcse? Functional Skills Level 2 Maths is equivalent to a GCSE at grade 4 (C) or above. This means that achieving a Level 2 qualification in Functional Skills Maths demonstrates the same level of knowledge and maths skills as attaining a Grade 4 or higher in GCSE Maths. Is functional skills maths level 2 hard? The difficulty of Functional Skills Maths Level 2 may vary depending on the individual's prior knowledge and skill level in maths. However, it is generally considered equivalent in difficulty to a GCSE Grade 4/C, a standard proficiency level in maths. However, with adequate preparation and practice, many individuals find it manageable to achieve a pass in Functional Skills Maths Level 2. What are the system requirements for remote exam? To sit your assessment, you’ll need: A laptop/desktop with webcam and microphone; you can’t sit the assessment on a tablet or smartphone a good Wi-Fi connection – recommended minimum 1Mbit/s Upload, minimum 10Mbit/s Download. You MUST use google chrome browser for the exam, as this is recommended by the awarding body. A smartphone or tablet (Apple iOS 8.0 / Android 4.1 or higher) - this will be used to record you taking the assessment. A suitable environment - quiet room with no distractions The link for the assessment sent to your email; remember to check your spam/junk folder. You must activate Airplane mode on your smartphone however you need to be connected to Wi-Fi, so turn on Airplane mode then reactivate your Wi-Fi. Please familiarise yourself with the potential violations as these can potentially lead to the assessment being voided. Ensure ALL equipment is plugged in (including phone for the recording of sessions). Loss of power at any point could lead to the assessment being voided. You must brief other members of your household/workplace that you’re sitting an assessment, and they must not enter the room at any point. There is a 24-hour live chat function within the assessment software for technical support should you need it at any time. For Open Awards: In order to take your exam, you need to have the following equipment: A good quality laptop or PC with a minimum screen size of approx. 14” and minimum resolution of 1024 x 768. A stable internet connection with at least 3mbps. An integrated (i.e., fixed) webcam on your PC/ laptop or a portable webcam. If using a PC/ laptop with an integrated webcam, a reflective surface (e.g., a mirror) must be available. This will be used to show the invigilator the space immediately surrounding your screen and keyboard. A basic (non-scientific) calculator for maths assessments. You will have access to an on-screen calculator but may feel more comfortable using a separate calculator. Please note that all workings need to be added to the assessment platform if you use a separate calculator so that your workings can be marked. Plain paper. You will need to show this to your invigilator at the beginning of the exam to assure them that you do not have access to notes. A dictionary (where allowed). Supported Browsers Chrome: 34.0.1847 or above Microsoft Edge: Version 88.0.705.81 or newer Firefox: 31.0 or above Safari: 6.2 or above Safe Exam Browser 2.0.2 or above Please note: Chromebooks are not compatible with the Safe Exam Browser Browser settings Popups must be allowed. Guidance on how to do this below: Chrome Edge Firefox Safari For TQUK: Exam conditions All remote exams must take place in a controlled environment. Training Qualifications UK (TQUK) defines a controlled environment as a quiet, appropriate space conducive to the undertaking of a remotely invigilated exam. The environment must be: populated only by you, the learner, and no other parties well-lit to allow maximum webcam visibility free from distractions that may cause you to divert your attention away from the computer screen or move outside of the webcam’s viewing range free from notes and posters on the wall free from noise free from personal or sensitive material free from visual or physical access to supporting materials (such as educational texts) free from electronic devices, other than the computer used to undertake the exam. The space, as described above, must meet these requirements throughout the entire duration of the exam. If the exam conditions requirements are not met, the exam may be voided. If, for any reason, you are unable to undertake the exam in a space that meets these requirements, you should inform your training provider/recognised centre at the earliest opportunity and arrange your exam at a time when these conditions can be met. You must have a desktop or laptop computer that is equipped with a working webcam, a stable internet connection, and the Google Chrome web browser (available here). Requirements and guidance for materials: The following relates to materials within the controlled environment and must be followed to ensure compliance: Mobile phones and electronic devices, except for the computer you are using to undertake the exam, must be switched off and stored in an inaccessible location. Smartwatches and other wearable technological devices must be switched off and removed. Headphones must not be worn. Water must be stored in a clear glass or a clear bottle with the labels removed. No other food or drink is permitted. Second monitors are not permitted. Identification must be clearly presented to the camera at the start of an exam. If identification is not provided, or is unclear, at the start of the exam, this will result in the exam being voided. A room sweep must be completed at the start of an exam. If a room sweep is not completed, the exam will be voided.