When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
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.
- 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
- 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.
- Experience with IBM SPSS Statistics (version 18 or later), or
- 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
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
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.
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.
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.
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.
We have training locations across the United States and Canada. View a full list of classroom training locations.
At ExitCertified we offer training that is Instructor-Led, Online, Virtual and Self-Paced.
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.
Your team appears to be VERY experienced and can present and discuss ALL topics. I am very pleased with my learning experience with ExitCertified. Thank you!
Very good except that often the labs did too much for you without explaining
I have had three AWS training classes with ExitCertified and I have been extremely satisfied with every class. They presented the information and architecture in a very logical manner that made it easier for me to learn.
Considering how much we had to cover in 5 half-day sessions this was a good primer on learning AWS.
Well organized support staff. Second class that I have taken through Tech Data and found it more than a good use of my time.
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