Applied Statistics (Entire Course) - Statistics - 7.3 The Central Limit Theorem with Proportions

In this video, we'll be exploring the Central Limit Theorem with proportions. This theorem states that as the number of samples gets larger, the mean (average) of the samples will be closer to the population mean. We'll be using this theorem to understand how to calculate the limits of a set of data, when the data contains proportions. We explore how to find the z-score and resulting probability to the left, to the right, between two z-scores or in the tails for sample proportion data. 0:00 Intro 0:24 CLT for Proportions - Equations and Requirements 2:34 Central Limit for Proportions - No More Than 6:13 Central Limit for Proportions with Excel - No More Than 8:49 Central Limit for Proportions with Excel - At Least 10:52 Central Limit for Proportions with Excel - Differs by Less 13:22 Central Limit for Proportions with Excel - Differs by More 14:55 Up Next Power Point: https://bellevueuniversity-my.sharepoint.com/:p:/g/personal/kbrehm_bellevue_edu/EYNtktN_O_5ChNy4fcVihl8BxO_togFPUVlQLXmhpMVVWg?e=rKdwSd This playlist follows the text, Beginning Statistics, 3rd ed, Warren, Denley, Atchley Playlist: https://www.youtube.com/playlist?list=PLl-gb0E4MII1dkfGxmdt8YA0Dgabdvdmq