• Statistics Simply Explained

  • 著者: Melanie Paul
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Statistics Simply Explained

著者: Melanie Paul
  • サマリー

  • If stats feels like a foreign language to you, you’ve come to the right place: Welcome to Statistics Simply Explained, your crisp dose of stats to go, where I break down statistical concepts into bite-sized pieces! I’m Melanie Paul, a psychologist, bestselling author, and statistics lecturer who makes this dry subject understandable and, dare I say, fun! I explain statistics in everyday language, lively, and with real-life examples. Tune in biweekly to turn stats confusion into clarity, gain confidence, and ace your exams.Because statistics is totally doable—and you got this!
    Copyright 2024 Melanie Paul
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あらすじ・解説

If stats feels like a foreign language to you, you’ve come to the right place: Welcome to Statistics Simply Explained, your crisp dose of stats to go, where I break down statistical concepts into bite-sized pieces! I’m Melanie Paul, a psychologist, bestselling author, and statistics lecturer who makes this dry subject understandable and, dare I say, fun! I explain statistics in everyday language, lively, and with real-life examples. Tune in biweekly to turn stats confusion into clarity, gain confidence, and ace your exams.Because statistics is totally doable—and you got this!
Copyright 2024 Melanie Paul
エピソード
  • 04: What are Dependent and Independent Variables?
    2024/09/13

    Not sure what the IV and the DV in your study are?

    Not much longer, because here I break down the concepts of independent (IV) and dependent variables (DV) so that you’ll finally get it!

    Here is what’s in store for you:

    ✅ I'll tell you what the IV and DV are

    ✅ Where they belong in statistics

    ✅ How to distinguish between them

    ✅ Common mistakes

    ✅ … and we’ll do some interactive exercises so you can practice what you’ve learned right away!

    Independent and dependent variables made easy!

    TIMESTAMPS

    Independent and Dependent Variables Explained (00:00:22)

    Discussion of IVs and DVs using mythical creatures as examples.

    Basic Concepts in Statistics (00:01:31)

    Overview of basic statistics concepts and the importance of understanding variables.

    Understanding Variables (00:02:47)

    Definition of variables and examples of different types.

    Independent Variable vs. Dependent Variable (00:04:05)

    Clarification on the roles of IVs and DVs in research.

    Common Mistakes with IVs (00:05:32)

    Advice on avoiding common misconceptions when identifying IVs.

    Interactive Exercises Part 1 (00:07:06)

    Melanie introduces exercises to practice identifying IVs and DVs.

    Coming soon: Statistics Gym! (00:08:39)

    Introduction to your future go-to online membership, which will help you finally understand statistics, get confident, and ace the exam!

    Interactive Exercises Part 2 (00:09:52)

    Continuation of various exercises related to IVs and DVs.

    Summary of Key Concepts (00:13:19)

    Recap of IVs and DVs, emphasizing their definitions and differences.

    Closing Remarks (00:14:41)

    Melanie wraps up the episode, encouraging listeners to engage with statistics.

    LINKS:

    WAITING LIST “STATISTICS GYM”

    https://statisticssimplyexplained.com/statistics-gym/

    TRANSCRIPT

    https://statisticssimplyexplained.com/wp-content/uploads/2024/09/PC-04_-What-are-Dependent-and-Independent-Variables.pdf

    STATISTICS COMPASS

    https://statisticssimplyexplained.com/stats-compass/

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    16 分
  • 03: Error Alert: What are Type I and II Errors?
    2024/08/24

    Imagine betting big on a result, only to find out it’s all smoke and mirrors. That’s a Type I error in stats. Now, picture the opposite: Ignoring a hidden gem because it didn't shine brightly enough—that's a Type II error.

    These statistical missteps can alter outcomes dramatically.

    Want to avoid them? This episode will help you understand how to navigate these errors effectively.

    Here is what’s in store for you in this podcast:

    I'll tell you what the Type I and Type II errors are

    Where they belong in statistics

    How to distinguish between them

    How to minimize them

    TIMESTAMPS

    Type One Error Explained (00:01:26)

    Introduction to Type One error, a false positive, illustrated with a pregnancy test example.

    Type Two Error Explained (00:02:42)

    Discussion of Type Two error, a false negative, with the missed detection of pregnancy as an example.

    Factors Contributing to Errors (00:03:52)

    Exploration of various factors that can lead to statistical errors in hypothesis testing.

    Example of Social Media Impact Study (00:05:03)

    Illustration of Type One and Type Two errors using a study on social media's effect on self-esteem.

    Minimizing Type One and Type Two Errors (00:06:10)

    Advice on how to reduce Type One and Type Two errors through significance levels and sample size.

    Summary of Type One and Type Two Errors (00:09:53)

    Recap of the definitions and differences between Type One and Type Two errors.

    Closing Remarks and Resources (00:11:02)

    Melanie encourages listeners to subscribe and offers a free cheat sheet for the independent samples t-test.

    LINKS:

    TRANSCRIPT

    https://statisticssimplyexplained.com/wp-content/uploads/2024/08/PC-03_-What-are-Type-1-and-2-Errors_.pdf

    WAITING LIST ONLINE COURSE “HYPOTHESIS TESTING MADE EASY!”

    https://statisticssimplyexplained.com/waiting-list-hypothesis-testing-made-easy/

    CHEAT SHEET FOR THE INDEPENDENT SAMPLES t-TEST

    https://statisticssimplyexplained.com/cheat-sheet-t-test/

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    11 分
  • 02: Zero Math Skills? How to Master Stats Anyway
    2024/08/23

    In this uplifting and motivational episode, I share my inspiring journey of overcoming my fear of statistics so that you can overcome yours, too!

    I debunk the myth that you need to be a math whiz to master statistics and offer practical tips for studying the subject.

    I emphasize the importance of a positive attitude, active engagement, and the use of accessible resources.

    My encouraging approach aims to empower you to believe in your abilities and tackle statistics with confidence. Because my story is proof that with determination and the right support, anyone can succeed in statistics!

    TIMESTAMPS

    Overcoming Fear of Statistics (00:01:23)

    Melanie shares her personal journey of overcoming her fear of statistics and pursuing psychology.

    Preparation for Statistics (00:02:32)

    Discusses the importance of preparation and forming study groups before starting statistics classes.

    Success in Statistics (00:03:35)

    Melanie describes her successful transition from student to teaching statistics shortly after her first exam.

    Beliefs About Math Skills (00:04:50)

    Challenges negative beliefs about math abilities and reassures that minimal math knowledge is needed for statistics.

    Mindset for Learning Statistics (00:05:56)

    Emphasizes the importance of a positive mindset and staying engaged with the subject throughout studies.

    Preparing for College Statistics (00:07:01)

    Discusses whether to prepare before college and offers tips on studying statistical topics effectively.

    Practical Approach to Statistics (00:08:21)

    Encourages a hands-on approach to statistics by reading empirical studies to understand real-world applications.

    Mastering Statistics (00:09:33)

    Reiterates that anyone can master statistics with determination, resources, and a supportive attitude.

    Conclusion and Resources (00:10:42)

    Encourages listeners to subscribe and offers a free guide to help them navigate statistics effectively.

    LINKS:

    TRANSCRIPT

    https://statisticssimplyexplained.com/wp-content/uploads/2024/08/PC-02_-Zero-Math-Skills_.pdf

    STATISTICS COMPASS

    https://statisticssimplyexplained.com/stats-compass/

    VIDEO “START WITH WHY” BY SIMON SINEK

    https://www.youtube.com/watch?v=u4ZoJKF_VuA

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    11 分

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