Statistical Analysis Using IBM SPSS Statistics (V26)

• IBM SPSS 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 procedure

• Experience with IBM SPSS Statistics (version 18 or later)
• Completion of the IBM SPSS Statistics Essentials course

Príručka ku kurzu firmy IBM podľa programu kurzu.

• 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
• Chart 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