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7_Confidence Intervals (Part 2 of 2)

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Manage episode 312022945 series 3215655
Content provided by Brad R. Fulton, PhD and Brad R. Fulton. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brad R. Fulton, PhD and Brad R. Fulton or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of our podcast, we delve deeper into the concept of “Confidence Intervals,” focusing on how statistical inference can help us estimate population parameters based on sample data. Building on the foundation laid in part one, we explore the roles of population parameters like mean and proportion, and how they can be estimated using sample statistics. Through a practical example involving the height of individuals in Durham, we illustrate how a sample mean serves as an estimate for the population mean and introduce the concept of confidence intervals to gauge the reliability of our estimates.

We also address common misconceptions and clarify the difference between Z-scores and percentiles, enhancing understanding with real-life implications of these statistical tools. This episode is particularly insightful for those grappling with assignments or seeking a clearer understanding of how statistical theory applies to real-world data. By the end of the session, listeners will have a solid grasp of how to construct confidence intervals and use sample data to make informed estimates about broader populations.

*****

Textbook: ⁠⁠Statistics: Unlocking the Power of Data⁠⁠

Students can use the Promotion Code "LOCK5" for a 10% discount.

Instructors can request a free Digital Evaluation Copy.

Lecture slides and additional course material can be obtained by emailing [email protected]

  continue reading

24 episodes

Artwork
iconShare
 
Manage episode 312022945 series 3215655
Content provided by Brad R. Fulton, PhD and Brad R. Fulton. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brad R. Fulton, PhD and Brad R. Fulton or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of our podcast, we delve deeper into the concept of “Confidence Intervals,” focusing on how statistical inference can help us estimate population parameters based on sample data. Building on the foundation laid in part one, we explore the roles of population parameters like mean and proportion, and how they can be estimated using sample statistics. Through a practical example involving the height of individuals in Durham, we illustrate how a sample mean serves as an estimate for the population mean and introduce the concept of confidence intervals to gauge the reliability of our estimates.

We also address common misconceptions and clarify the difference between Z-scores and percentiles, enhancing understanding with real-life implications of these statistical tools. This episode is particularly insightful for those grappling with assignments or seeking a clearer understanding of how statistical theory applies to real-world data. By the end of the session, listeners will have a solid grasp of how to construct confidence intervals and use sample data to make informed estimates about broader populations.

*****

Textbook: ⁠⁠Statistics: Unlocking the Power of Data⁠⁠

Students can use the Promotion Code "LOCK5" for a 10% discount.

Instructors can request a free Digital Evaluation Copy.

Lecture slides and additional course material can be obtained by emailing [email protected]

  continue reading

24 episodes

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