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Artwork for Statistics Made Simple

Statistics Made Simple

Brad R. Fulton, PhD
Hypothesis Testing
ANOVA
Confidence Intervals
Simple Linear Regression
Data Analysis
Statistics
Correlation
Statistical Significance
P-Value
Sample Statistics
Normal Distribution
US Presidential Approval Ratings
Social Science
Categorical Variables
Chi Square Test
Quantitative Methods
Confidence Interval
Statistical Evidence
Statistical Inference
Sampling Distribution

This podcast introduces the statistical methods used to analyze data about society with an emphasis on applying those methods. This podcast will help you to be a more informed and critical reader of academic research, public opinion polling, and advertisement claims that present statistical evidence.

Lecture slides and course material can be obtained by emailing bradrfulton@gmail.com

PublishesDailyEpisodes26Founded13 years ago
Number of ListenersCategories
Social SciencesScience

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Artwork for Statistics Made Simple

Latest Episodes

This episode provides a comprehensive introduction to statistical concepts and how they relate to social science research. Professor Fulton discusses the course objectives which include teaching listeners to gather, describe, analyze, and interpret d... more

In this episode of "Collecting Data and Sampling," the complexities of sampling in research are explored, drawing an intriguing parallel to casual weekend trips to Costco for free samples. This analogy sets the stage for a deeper discussion on the st... more

This episode provides a comprehensive introduction to statistical concepts and how they relate to social science research. Professor Fulton discusses the course objectives which include teaching listeners to gather, describe, analyze, and interpret d... more

In this episode of "Collecting Data and Sampling," the complexities of sampling in research are explored, drawing an intriguing parallel to casual weekend trips to Costco for free samples. This analogy sets the stage for a deeper discussion on the st... more

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Host

Brad Fulton
Professor and host, focusing on statistical methods for social sciences and data analysis. His engaging teaching style emphasizes making statistics approachable and relevant to everyday scenarios.

Reviews

4.9 out of 5 stars from 590 ratings
  • Understandable Statistics

    Brad explains the basic but difficult concepts of statistics in a understandable way. His explanation really helpt me to grasp the concepts in their essence. I highly recommand listening to all episodes of this podcast serie of you are interested in statistics.

    Apple Podcasts
    5
    [nick_name]
    Netherlands4 days ago
  • Prof Fulton’s lectures have been very helpful in supplementing my studies. I especially appreciate the clarity he provides — his explanations cut through the fog that often surrounds statistics and make complex concepts much easier to understand. The structured, practical approach has been a valuable reinforcement to my coursework. -Michael

    Audible
    5
    Mick
    United States5 days ago
  • Clear and digestible way to learn statistics.

    I have an upcoming interview for a quantitative UX research position, and although I have a background in quantitative methods, I have been conducting strictly qualitative research for the past few years. As I haven't used my quantitative training in so long, I have been listening to this course/podcast to brush up in preparation for my interview. Dr. Fulton’s lecture style is very engaging and intuitive. I am really grateful he made this resource available!

    Apple Podcasts
    5
    Tivoli420
    United States21 days ago
  • Great podcast by a great teacher

    This podcast provides an excellent overview of statistics. It helps me to explain and communicate statistical concepts much more effectively. Professor Fulton is an excellent teacher.

    Apple Podcasts
    5
    EcoAnalyst
    United Statesa month ago
  • Love it

    Listening this as an Italian Med Student. Tysm!!

    Apple Podcasts
    5
    Elisabetta Manzoni
    Italya month ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Many reviews indicate that the content is particularly beneficial for students and professionals alike, helping them build a solid foundation in statistics.
Listeners appreciate the clear and engaging teaching style, highlighting that complex statistical concepts are made easy to understand through relatable examples.
Overall, it is praised as a vital resource for enhancing data literacy and critical thinking about statistical information.
The podcast is recognized for its practical applications of statistics, demonstrating relevance to real-world scenarios, and has garnered positive feedback for its ability to instill confidence in understanding statistical data.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Talking Points

Recent interactions between the hosts and their guests.

19_Multiple Comparisons: Delving Deeper with ANOVA
Q: Is there a significant difference in the mean cost of natural science textbooks and humanities textbooks?
Yes, there is a significant difference as concluded from the hypothesis test.
19_Multiple Comparisons: Delving Deeper with ANOVA
Q: What is our F-statistic for the ANOVA analysis?
The F-statistic is 4.05 indicating a significant difference in costs.
15_Inference for Quantitative Variables (Part 1 of 2)
Q: Can you use StatKey?
Yes, StatKey can be used to find t-star for a specified confidence interval.
15_Inference for Quantitative Variables (Part 1 of 2)
Q: What would be our formal decision with this hypothesis test?
The t-value that was obtained will help determine if we reject or fail to reject the null hypothesis based on whether it exceeds a critical value or not.
14_Inference for Categorical Variables (Part 2 of 2)
Q: Why can’t we just answer the question about whether female students are less likely than male students to be engineering majors?
Because we need to account for the possibility that the observed sample could occur by random chance under the null hypothesis.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About Statistics Made Simple

What is Statistics Made Simple about and what kind of topics does it cover?

Focused on making statistics approachable, this series introduces listeners to various statistical methods used in social research and data analysis. The content is tailored for those seeking to enhance their understanding of statistics in everyday decision-making, whether it be in analyzing academic research, public opinion polls, or advertising claims. With relatable examples, including personal anecdotes and contemporary issues, the series provides a practical framework for critical thinking about statistical claims. Beyond the technical content, the engaging teaching style of the host fosters a supportive learning environment, making complex concepts more digestible and relevant.

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1. Radiolab
2. StarTalk Radio
3. The Bill Simmons Podcast
4. This American Life

How many episodes of Statistics Made Simple are there?

Statistics Made Simple launched 13 years ago and published 26 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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