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Statistical Analysis Using IBM SPSS Statistics (V25)

  • Tuition USD $1,650
  • Reviews star_rate star_rate star_rate star_rate star_half 1505 Ratings
  • Course Code 0G51AG
  • Duration 2 days
  • Available Formats Classroom, Virtual
0G51AG - Statistical Analysis Using IBM SPSS Statistics (V25)

Course Eligible for IBM Digital Badge

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, as well as 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 as well as how to apply them with confidence, interpret their output, and graphically display the results.

Skills Gained

  • Introduction to statistical analysis
  • Examine individual variables
  • Test hypotheses about individual variables
  • Test the relationship between categorical variables
  • Test on the difference between two group means
  • Test on differences between more than two group means
  • Test the relationship between scale variables
  • Predict a scale variable: Regression
  • Introduction to Bayesian statistics
  • Overview of multivariate procedures

Who Can Benefit

- Anyone who has worked with IBM SPSS Statistics and wants to become better versed in the basic statistical capabilities of IBM SPSS Statistics Base.
- Anyone who wants to refresh their knowledge and statistical experience.

Prerequisites

  • Familiarity with basic concepts in statistics, such as measurement levels, mean, and standard deviation.
  • Familiarity with the windows in IBM SPSS Statistics either by experience with IBM SPSS Statistics (version 18 or later) or completion of the IBM SPSS Statistics Essentials (V25) course.

Course Details

Course Outline

Introduction to statistical analysis
- Identify the steps in the research process
- Principles of statistical analysis

Examine individual variables
- Identify measurement levels
- Chart individual variables
- Summarize individual variables
- Examine the normal distribution
- Examine standardized scores

Test hypotheses about individual variables
- Identify population parameters and sample statistics
- Examine the distribution of the sample mean
- Determine the sample size
- Test a hypothesis on the population mean
- Construct a confidence interval for the population mean
- Tests on a single variable: One-Sample T Test, Paired-Samples T Test, and Binomial Test

Test the relationship between categorical variables
- Chart the relationship between two categorical variables
- Describe the relationship: Compare percentages in Crosstabs
- Test the relationship: The Chi-Square test in Crosstabs
- Assumptions of the Chi-Square test
- Pairwise compare column proportions
- Measure the strength of the association

Test on the difference between two group means
- Compare the Independent-Samples T Test to the Paired-Samples T Test
- Chart the relationship between the group variable and scale variable
- Describe the relationship: Compare group means
- Test on the difference between two group means: Independent-Samples T Test
- Assumptions of the Independent-Samples T Test

Test on differences between more than two group means
- Describe the relationship: Compare group means
- Test the hypothesis of equal group means: One-Way ANOVA
- Assumptions of One-Way ANOVA
- Identify differences between group means: Post-hoc tests

Test the relationship between scale variables
- Chart the relationship between two scale variables
- Describe the relationship: Correlation
- Test on the correlation
- Assumptions for testing on the correlation
- Treatment of missing values

Predict a scale variable: Regression
- What is linear regression-
- Explain unstandardized and standardized coefficients
- Assess the fit of the model: R Square
- Examine residuals
- Include 0-1 independent variables
- Include categorical independent variables

Introduction to Bayesian statistics
- Bayesian statistics versus classical test theory
- Explain the Bayesian approach
- Evaluate a null hypothesis: Bayes Factor
- Bayesian procedures in IBM SPSS Statistics

Overview of multivariate procedures
- Overview of supervised models
- Overview of models to create natural groupings

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

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Excellent course. Ruben Lopez is an outstanding instructor. Learned tons of information. Would recommend ExitCertified to anyone!

Very informative and lots of information covered. Overall great information to use on the job.

Great personnel and facility. I just should have been told i was the only person physically in thr class, and that there was an option to attend the class remotely.

The training provided by ExitCertified is excellent in terms of instructor and contents. It's really helpful.

3 options available

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  • Dec 28, 2020 Dec 29, 2020 (2 days)
    Location
    iMVP
    Language
    English
    Time
    9:30AM 5:30PM EST
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  • Jan 27, 2021 Jan 28, 2021 (2 days)
    Location
    iMVP
    Language
    English
    Time
    9:30AM 5:30PM EST
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  • Mar 10, 2021 Mar 11, 2021 (2 days)
    Location
    iMVP
    Language
    English
    Time
    9:30AM 5:30PM EST
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