Basic Inferential Statistics for Psychology Specialization

Basic Inferential Statistics for Psychology Specialization

Basic Inferential Statistics for Psychology. Introduce the use of inferential statistics in psychological research, including the z-test, the varieties of the t-test, chi-square tests, and the use of statistical software for exploring these statistics.

Instructor: Mike Stadler, PhD

Sponsored by Louisiana Workforce Commission

3 course series

Get in-depth knowledge of a subject

Beginner level

Recommended experience

3 months

at 5 hours a week

Flexible schedule

Learn at your own pace

3 course series

Get in-depth knowledge of a subject

Beginner level

Recommended experience

3 months

at 5 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Explain the relationship between z-scores and area under the curve, solving problems involving z-scores and percentiles.
Compare and contrast z- and t-distributions, and determine the appropriate test for various research situations.
Explain when to use chi-square analyses and identify hypotheses appropriate for chi-square analyses.

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Taught in English

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Specialization - 3 course series

This specialization was created to elevate the public’s understanding of, regard for, and use of psychology and strengthen APA’s standing as an authoritative voice for psychology. Specifically, to introduce the use of inferential statistics in psychological research, including the z-test, the varieties of the t-test, chi-square tests, and the use of statistical software for exploring these statistics.

Applied Learning Project

Over the duration of the course, the user will be presented with formative assessments to assess their knowledge on concepts that have just been covered. At the end of every module there are summative assessments which are tracked and graded to assess your overall understanding. Finally, at the end of the course you are presented with an overall course level assessment.

Intro to Null Hypothesis Significance Testing with z-test

Course 16 hours

What you'll learn

Calculate and interpret t-tests, effect sizes, and confidence intervals from raw data and summary statistics.
Compare and contrast z- and t-distributions, and determine the appropriate test for various research situations.
Develop and generate hypotheses for differences between means and conduct the corresponding tests.

t-Tests of Hypotheses About Means

Course 26 hours

What you'll learn

Compare and contrast z- and t-distributions, and determine the appropriate test for various research situations.
Develop and generate hypotheses for differences between means and conduct the corresponding tests.
Calculate and interpret t-tests, effect sizes, and confidence intervals from raw data and summary statistics.

Chi-Square Tests of Hypotheses About Frequency Tables

Course 34 hours

What you'll learn

Explain when to use chi-square analyses, the logic of chi-square analyses, and the assumptions of chi-square analyses.
Conduct a chi-square goodness-of-fit test and a chi-square test of independence.
Analyze effect size for chi-square analyses.