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Statistical Analysis Using IBM SPSS Statistics (V26)
This IBM Self-Paced Virtual Class (SPVC) includes: - PDF course guide available to attendee during and after course - Lab environment where students can work through demonstrations and exercises at...
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$815 USD
GSA
$541.69
Duration
2 days
Course Code
0K51BG-SPVC
Available Formats
Self Paced
This course is available in other formats.
Self-Paced
Self-Paced
Overview
This IBM Self-Paced Virtual Class (SPVC) includes:
- PDF course guide available to attendee during and after course
- Lab environment where students can work through demonstrations and exercises at their own pace
Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.
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.
Skills Gained
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
Who Can Benefit
- 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 Details
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
FAQ
Does the course schedule include a Lunchbreak?
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
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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.
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As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.
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Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.
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Great company -- easy to sign up and very organized. Loved my teacher and class overall.
the class/lecture was amazing and very easy to understand and was in detail.
vary good online learning. instructor is vary good the way he explained every thing.
Overall ExitCertified is a great training provider and the remote learning is as effective as in person.
Sean is the very good instructor. I would like to take his class again in the future.
