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

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Course Outline:

Course Outline: 

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

Course Audience & Prerequisites:

Audience:

- 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.

Prerequisites:

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

Course Offerings:

Instructor Led In Classroom
Newcomp can directly deliver IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently, in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online
Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced
Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC. Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.

  • Course Outline
  • Course Audience & Prerequisites
  • Course Offerings
  • Related Courses

Course Outline: 

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

Audience:

- 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.

Prerequisites:

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

Instructor Led In Classroom
Newcomp can directly deliver IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently, in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online
Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced
Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC. Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.

0G53AG – IBM SPSS Statistics Essentials

This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis process. Students will learn the basics of reading data, data definition, data modification, and data analysis and presentation of analytical results. Students will also see how easy it is to get data into IBM SPSS Statistics so that they can focus on analyzing the information. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base features.

0G53BG – IBM SPSS Statistics Essentials (V26)

This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables.