Statistical Analysis Using IBM SPSS Statistics V26 0G51BG

• IBM SPS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS Statistics Base.

Anyone who wants to refresh their knowledge and statistical experience.

• 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

• Experience with IBM SPSS Statistics (version 18 or later), or

Completion of the IBM SPSS Statistics Essentials course

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 distribution

• Identify standardized scores Testing hypotheses

• Principles of statistical testing

• One-sided versus two-sided testing

• Type 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 means

• Test the hypothesis of two equal group means

• Assumptions Testing on differences between more than two group means

• Test the hypothesis of all group means being equal

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

• 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