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PODCAST

Statistics for the Social Sciences

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

education courses

All Episodes

50:06

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

Statistics for the Social Sciences ·

2025/10/28

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 areas of statistics that really benefits from additional review. After reviewing concepts like significance, critical values, and test statistics (as well as when to reject our null hypothesis), we will move

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10:08

Initial Draft Guidance

Statistics for the Social Sciences ·

2025/10/26

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 since the episode just 10 minutes, but if you need any further guidance from me don't hesitate to reach out via email!

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44:33

Testing Our Expectations

Statistics for the Social Sciences ·

2025/10/23

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 must take with our hypotheses. I will say this episode is dense--we've got a lot of major concepts (like test statistics and critical values), some complicated steps to figure out (with respect to one-tailed

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27:54

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

Statistics for the Social Sciences ·

2025/10/21

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 curve. It's been a bit since we talked about that material so a short review is hopefully helpful. But then it's on to the big new concept of this week: statistical significance. Statistical significance is

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39:11

Midterm Follow-Up Time

Statistics for the Social Sciences ·

2025/10/17

Hey all, this is a surprise podcast episode that walks through the Midterm Exam and what I was looking for in your responses to all of the questions. If you have questions about what was expected, I think this is a great episode to listen to... and in particular a good one if you plan to schedule a midterm follow-up meeting to earn back points. It will give you a strong indication of what I'm hoping you understand about the concepts and theories we've reviewed so far. If you haven't yet, be sure to

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32:26

Is This Normal?

Statistics for the Social Sciences ·

2025/10/01

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 it to the use of z-scores, which are a way of telling us how different a specific value is from the mean. Z-scores are a measure that uses standard deviation--that value we went over all the way back in

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30:59

What are the Chances? Aka, Probability...

Statistics for the Social Sciences ·

2025/10/01

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; and (3) connecting probability and the normal curve. There's a lot of conceptual leaps at times with these topics... so take your time with this one. And focus on concepts--thinking of the normal curve as

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51:04

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

Statistics for the Social Sciences ·

2025/09/26

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 well as our hypotheses), collecting our data, analyzing that data, and finally offering an interpretation/conclusion that addresses our research question. This episode is a bit on the long side, but it will

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30:09

Hitting the Data Target

Statistics for the Social Sciences ·

2025/09/14

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 reliability, etc.) and validity (content, criterion, and construct) and we can certainly use SPSS to assist us with this... calculations like Cronbach's alpha are not something we should do by hand! What's most

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22:10

Terms for Clarification

Statistics for the Social Sciences ·

2025/09/14

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 arithmetic mean and percentile ranks), then moves to variance (including exclusive range, inclusive range, mean deviation, and standard deviation), and wraps with some terms that don't fit neatly into one category

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46:50

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

Statistics for the Social Sciences ·

2025/09/09

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, and ratio). Next, we'll get into the definition and looks of correlation (as they would appear on a scatterplot), tie back how correlation requires us to have a true variable with different values, learn

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32:34

Just Picture It (Your Data That Is!)

Statistics for the Social Sciences ·

2025/09/02

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. In addition, I've included a link to a video on how graphs can be used to misrepresent data or make it harder to correctly interpret--I do hope you make time to watch it as it's only a few minutes but

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21:39

How Different is our Data?

Statistics for the Social Sciences ·

2025/08/29

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 understanding variation include the range, standard deviation, and variance. We will go over the definition/explanation of each term and then we will do some practice (both by hand and in SPSS) for calculating

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33:25

The 3Ms: Mean, Median, and Mode

Statistics for the Social Sciences ·

2025/08/27

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 each measure, an explanation of how we calculate them, and then some practice exercise using Excel and SPSS to find the mean, median, and mode of different datasets. In addition, we'll cover a bit about the

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29:21

What are Descriptive and Inferential Statistics?

Statistics for the Social Sciences ·

2025/08/20

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 statistics, inferential statistics, sample, and population. We'll also spend some time walking through the basics of the research process as well as the types of questions we'll look into as part of your larger

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24:54

Introduction to our Course and Canvas

Statistics for the Social Sciences ·

2025/08/20

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 are discussed early on. We will spend about 15-20 minutes on that as well as the other parts of the Canvas site such as the Syllabus, Assignments, Grades, and Announcements. This episode wraps with a few tips

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