Description

Duration

2 Days

12 CPD hours

This course is intended for

IBM SPSS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS StatisticsBase.
Anyone who wants to refresh their knowledge and statistical experience.

Overview

Introduction to statistical analysis
Describing individual variables
Testing hypotheses
Testing hypotheses on individual variables
Testing on the relationship between categorical variables
Testing on the difference between two group means
Testing on differences between more than two group means
Testing on the relationship between scale variables
Predicting a scale variable: Regression
Introduction to Bayesian statistics
Overview of multivariate procedures

This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results.

Introduction to statistical analysis

Identify the steps in the research process

Identify measurement levels Describing individual variables

Chart individual variables

Summarize individual variables

Identify the normal distributionIdentify standardized scores Testing hypotheses

Principles of statistical testing

One-sided versus two-sided testingType I, type II errors and power Testing hypotheses on individual variables

Identify population parameters and sample statistics

Examine the distribution of the sample mean

Test a hypothesis on the population mean

Construct confidence intervals

Tests on a single variable Testing on the relationship between categorical variables

Chart the relationship

Describe the relationship

Test the hypothesis of independence

Assumptions

Identify differences between the groups

Measure the strength of the association Testing on the difference between two group meansChart the relationship

Describe the relationship

Test the hypothesis of two equal group means

Assumptions Testing on differences between more than two group means

Chart the relationship

Describe the relationship

Test the hypothesis of all group means being equal

Assumptions

Identify differences between the group means Testing on the relationship between scale variables

Chart the relationship

Describe the relationship

Test the hypothesis of independence

Assumptions

Treatment of missing values Predicting a scale variable: Regression

Explain linear regression

Identify unstandardized and standardized coefficients

Assess the fit

Examine residuals

Include 0-1 independent variables

Include categorical independent variables Introduction to Bayesian statistics

Bayesian statistics and classical test theory

The Bayesian approach

Evaluate a null hypothesis

Overview of Bayesian procedures in IBM SPSS Statistics Overview of multivariate procedures

Overview of supervised models

Overview of models to create natural groupings

Course Images

0G51BG IBM Statistical Analysis Using IBM SPSS Statistics (V26)

By Nexus Human

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