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.

starstarstarstarstar

* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

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

1

  • Introduction to statistical analysis

  • Identify the steps in the research process
    Identify measurement levels Describing individual variables
    Chart individual variables
2

  • 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
3

  • Examine the distribution of the sample mean

  • Test a hypothesis on the population mean
    Construct confidence intervals
4

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

  • Chart the relationship
    Describe the relationship
5

  • 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
6

  • Test the hypothesis of two equal group means

  • Assumptions Testing on differences between more than two group means
    Chart the relationship
    Describe the relationship
7

  • 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
8

  • 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
9

  • Include categorical independent variables Introduction to Bayesian statistics

  • Bayesian statistics and classical test theory
    The Bayesian approach
    Evaluate a null hypothesis
10

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

  • Overview of supervised models
    Overview of models to create natural groupings

Audience

IBM SPSS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS StatisticsBase will benefit from this course. Anyone who wants to refresh their knowledge and statistical experience will also find value.

Language

English

Prerequisites

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

$1,690

Length: 2.0 days (16 hours)

Level:

Not Your Location? Change

Course Schedule:

To request a custom delivery, please chat with an expert.

Loading...