Statistical Analysis Using IBM SPSS Statistics (V26)

0G51BG
Duration 2 days
0 ITK points
0 terms
Praha (37 700 Kč)

Brno (on request)

Bratislava (on request)

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.

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

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

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Statistical Analysis Using IBM SPSS Statistics (V26)

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