Applied Statistics (Entire Course) - Statistics - 7.2 The Central Limit Theorem with Means

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16.5 hours of video
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sampling distribution central limit theorem statistics central limit theorem probability central limit theorem statistics inferential statistics sampling distributions central limit theorem explained sampling distribution of the sample mean central limit theorem application central limit theorem example sampling distribution statistics

Full Transcript

In this video we explore how to find the z-score and resulting probability to the left, right, between or in the tails of a sample mean in a normally distributed population. 0:00 Intro 0:06 CLT for Means Equations and Requirements 2:09 "Less Than" with Means - Population 6:27 "Less Than" with Means - Sample (using CLT) 9:52 Using Excel for CLT with Means - Less Than 13:14 Using Excel for CLT with Means - Greater Than 18:34 Using Excel for CLT with Means - Differs by Less 22:46 Using Excel for CLT with Means - Differs by More 24:52 Up Next Power Point: https://bellevueuniversity-my.sharepoint.com/:p:/g/personal/kbrehm_bellevue_edu/EXTr8TzElCBMvrSm_Qga-GUBkljSw3abxX0wpysnop74tw?e=qkjZ73 This playlist follows the text, Beginning Statistics, 3rd ed, Warren, Denley, Atchley Playlist: https://www.youtube.com/playlist?list=PLl-gb0E4MII1dkfGxmdt8YA0Dgabdvdmq