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03: Error Alert: What are Type I and II Errors?

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Manage episode 437232485 series 3596463
Kandungan disediakan oleh Melanie Paul. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Melanie Paul atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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/

  continue reading

5 episod

Artwork
iconKongsi
 

Siri yang diarkibkan ("Suapan tidak aktif" status)

When? This feed was archived on January 24, 2025 11:36 (3M ago). Last successful fetch was on September 13, 2024 13:53 (7M ago)

Why? Suapan tidak aktif status. Pelayan kami tidak dapat untuk mendapatkan kembali suapan podcast yang sah untuk tempoh yang didapati.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 437232485 series 3596463
Kandungan disediakan oleh Melanie Paul. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Melanie Paul atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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/

  continue reading

5 episod

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