Skip to content
Statistics for the Social Sciences podcast artwork

PODCAST · education

Statistics for the Social Sciences

by Jennifer Miller

This podcast is for Wayne State College students taking SSC 319 Statistics for the Social Sciences. Episodes take listeners through the structure and design of the course (including the syllabus and Canvas site), descriptive and inferential statistics, and a range of different statistical tests for samples and populations. Topics covered include basic descriptive statistics measures such as mean, median, mode, range, and standard deviation; the structure of research papers and how to ensure data used for analyses is reliable and valid; and numerous statistical tests including the one-sample test, t-tests, ANOVAs, and regression analysis.

Publisher-supplied feed metadata · PodParley refreshed May 14, 2026 · Source feed

Episodes

  1. Following the Line

    Hi all, and welcome to the final episode of material for our statistics course! In this episode, we tackle the last of our parametric inferential tests: linear regression. Regression is about fitting a line to our data, which is a lot like doing algebra... but don't let that scare you away! When…

    more
  2. Comparing Many Groups on 1 or More Measures

    Hello folks, and welcome to one of our last stats episodes with new material! In this episode, we're going to discuss and learn about ANOVA, which is short for analysis of variance. We will use the ANOVA tests in SPSS when we are comparing more than two groups. In short, what this test allows us…

    more
  3. T for Two, as in Testing Two Groups or Two Times

    Hey all, welcome to our Week 12 episode on t-tests! We've only got a few short weeks left of this course... and we're building upon last week by moving from inferential tests comparing a sample and a population to t-tests, which compare 2 sample groups or 1 sample group at 2 different times. For…

    more
  4. If We Know the Population, But Not the Sample...

    Hi all, and welcome to the first podcast episode focused on conducting inferential testing! Today's episode is going to spend about the first 30 minutes reviewing our hypothesis testing steps. Yes, it's a lot of covering what we already did in the last episode, but I think this is one of those...

  5. Initial Draft Guidance

    Hello all--this episode is a short 10-minute instructional guide for the Initial Draft of your paper. This episode walks through the 4 sections you need in this paper with some explanation of what I'll be looking for and what you need to include in each section. I'll keep the description short...

  6. Testing Our Expectations

    Howdy folks, and welcome to part 2 of our discussion for Week 10 on Significance and Hypothesis Testing! This episode is all about that hypothesis testing component, particularly the errors we can run into (Type 1 or Type 2, aka false positives and false negatives) and the steps for testing we…

    more
  7. Are the Results Significant or Just What We'd Expect?

    Hey all, and welcome back to our discussions on Statistics for the Social Sciences! Today's episode (and the next one) are two of the most critical for this class--I've called Week 10 the Heart of this Course for a reason! In this episode, we will start with a review of probability and the normal...

  8. Is This Normal?

    Howdy folks, and welcome to the last episode before the Midterm! I know, you're all very excited for that... but pump the brakes because before we get there we need to finish our discussion of probability and the normal curve. In this episode, we review our learning about those topics and connect...

  9. What are the Chances? Aka, Probability...

    Hiya folks, and welcome to one of our final podcast episodes before the Midterm Exam! In this episode, we are going to focus on 3 key points: (1) language that we use when describing samples versus populations (estimates and parameters); (2) a discussion and review of the basics of probability…

    more
  10. How to Build a Research Paper (and include Stats!)

    Hello again everyone, and welcome to our Week 6 episode on research and statistics! In this episode, we will walk through the research process broken down here into 7 steps: creating the question, completing a literature review, designing our study, specifying our measurements of variables (as…

    more
  11. Hitting the Data Target

    Hi everybody, and welcome to our week 5 discussion of data quality! In this episode, we've really only got two major concepts to understand: reliability (aka consistency) and validity (aka accuracy). Of course, there are different ways to figure out our reliability (test-retest, interrater...

  12. Terms for Clarification

    Hi all, and welcome to a one-off episode on statistics terms! This episode is not part of our normal progression through the course but I did want to provide more discussion and explanation of terms you'd noted as difficult to understand. The episode starts with central tendency (including...

  13. Sharks, Ice Cream... and Why Correlation Ain't Causation

    Hey there all, and welcome back for Episode 6 on correlation! For this week and episode, we're going to cover a few initial concepts that need to be more directly discussed: variables (including independent and dependent variables) and then the levels of measurement (nominal, ordinal, interval…

    more
  14. Just Picture It (Your Data That Is!)

    Howdy ho everyone! Welcome to our Week 3 episode on data visualization! In this episode, we will talk all things graphing-related: which graphs are best for showing raw data (histograms), showing change over time (line graphs are great at this), providing comparisons (bar or area charts), and…

    more
  15. How Different is our Data?

    Hello stats course members, and welcome to episode #4! In this episode, we spend a little over 20 minutes talking about different measures of variation or the measures we can use to understand how different the values in our dataset are from one another. The statistical measures we use for...

  16. The 3Ms: Mean, Median, and Mode

    Howdy all, and welcome back! In this episode, we begin our discussion and learning about measures of central tendency which are part of what we would consider to be descriptive statistics. We are specifically focusing on the mean, median, and mode. This episode will walk through the definition of...

  17. What are Descriptive and Inferential Statistics?

    Hi all, and welcome to the second episode of our podcast on Statistics for the Social Sciences! In this episode, we're going to take a little bit of time to further discuss/investigate the syllabus but the majority of this podcast is going to focus on defining some key terms: descriptive...

  18. Introduction to our Course and Canvas

    Hello everyone and welcome to our podcast on Statistics for the Social Sciences! In this first episode, we will get an introduction to this course and in particular to the course Canvas site. Some of the most critical tools you will need to navigate this class are the Weekly Roadmap pages which…

    more

Type above to search every episode's transcript for a word or phrase. Matches are scoped to this podcast.

Searching…

We're indexing this podcast's transcripts for the first time — this can take a minute or two. We'll show results as soon as they're ready.

No matches for "" in this podcast's transcripts.

Showing of matches

No topics indexed yet for this podcast.

Loading reviews...

ABOUT THIS SHOW

This podcast is for Wayne State College students taking SSC 319 Statistics for the Social Sciences. Episodes take listeners through the structure and design of the course (including the syllabus and Canvas site), descriptive and inferential statistics, and a range of different statistical tests for samples and populations. Topics covered include basic descriptive statistics measures such as mean, median, mode, range, and standard deviation; the structure of research papers and how to ensure data used for analyses is reliable and valid; and numerous statistical tests including the one-sample test, t-tests, ANOVAs, and regression analysis.

HOSTED BY

Jennifer Miller

CATEGORIES

Frequently Asked Questions

How many episodes does Statistics for the Social Sciences have?

Statistics for the Social Sciences currently has 18 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is Statistics for the Social Sciences about?

This podcast is for Wayne State College students taking SSC 319 Statistics for the Social Sciences. Episodes take listeners through the structure and design of the course (including the syllabus and Canvas site), descriptive and inferential statistics, and a range of different statistical tests for...

How often does Statistics for the Social Sciences release new episodes?

Statistics for the Social Sciences has 18 episodes. Check the episode list to see recent publication dates and frequency.

Where can I listen to Statistics for the Social Sciences?

You can listen to Statistics for the Social Sciences on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.

Who hosts Statistics for the Social Sciences?

Statistics for the Social Sciences is created and hosted by Jennifer Miller.
URL copied to clipboard!