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January 28, 2025
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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
Included with
Recommended experience
Beginner level
High school diploma or equivalent.
Recommended experience
Beginner level
High school diploma or equivalent.
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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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.
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.
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.
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.
APA is the leading scientific and professional organization representing psychology in the United States, with more than 146,000 researchers, educators, clinicians, consultants, and students as its members. Its mission is to promote the advancement, communication, and application of psychological science and knowledge to benefit society and improve lives.
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Five hours per week for 12 weeks.
A high school diploma or equivalent. The course is intended for digitally-inclined, science-friendly consumers with reading levels post-high school who 1) are replacing schooling or upskilling; 2) are psychology-curious and seeking demonstrated learning of authoritative content; or 3) are Higher Ed students.
You can take the courses in any order, but we recommend starting with NHST with the z-Test, followed by t-Tests, and concluding with Chi-Square Tests.
No, but you will earn a certificate via Coursera.
• Explain why probability is a core concept in statistics and the use of random sampling.
• Apply concepts in probability to the normal distribution, explain the relationship between z-scores and area under the curve, solving problems involving z-scores and percentiles.
• Explain the theory and purpose of a sampling distribution, calculate statistics for sampling distributions of the mean, and describe the implications of the central limit theorem.
• Explain the logic and process of null hypothesis significance testing, writing hypotheses in formal statistical terms and everyday language, and demonstrating knowledge of null hypothesis significance testing using the z-test.
• Compare and contrast Type I and Type II errors, explaining the probability with which each can be expected to occur
• Outline concerns associated with the reliance on p-values in data analysis, differentiating between statistical significance and importance.
• Buttress the use of hypothesis-testing methods with calculations and interpretation of effect size, confidence intervals, and power.
• 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 in both formal statistical terms and everyday language.
• Calculate effect sizes and required sample sizes to achieve desired statistical power, and interpret power curves for effect size and sample size.
• Generate and interpret confidence intervals for t-tests from raw data and summary statistics.
• Explain when to use chi-square analyses.
• Identify hypotheses appropriate for chi-square analyses.
• Explain the logic of chi-square analyses.
• Explain the assumptions of chi-square analyses.
• Conduct a chi-square goodness-of-fit test.
• Conduct a chi-square test of independence.
• Analyze effect size for chi-square analyses.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
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