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0 ืฆืคื™ื•ืชยท 16 ืื•ื’ื•ืกื˜ 2022

Statistics - A Full University Course on Data Science Basics

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MaggieN383
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Learn the essentials of statistics in this complete course. This course introduces the various methods used to collect, organize, summarize, interpret and reach conclusions about data. An emphasis is placed on demonstrating that statistics is more than mathematical calculations. By using examples gathered from real life, students learn to use statistical methods as analytical tools to develop generalizations and meaningful conclusions in their field of study.

๐ŸŽฅ Course by Monika Wahi.
๐Ÿ”— These lectures are based on the textbook Understanding Basic Statistics, 6th Edition, by Brase & Brase, available here: https://www.amazon.com/Underst....anding-Basic-Statist
๐Ÿ”— Monika Wahi's LinkedIn Learning courses are here: https://www.linkedin.com/learn....ing/instructors/moni
๐Ÿ”— Visit Monika Wahi's web page here: http://www.dethwench.com/
๐Ÿ”— Monika Wahi's peer-reviewed articles listed here: https://scholar.google.com/citations?user=v3BDf1oAAAAJ&hl=en

โญ๏ธ Course Contents โญ๏ธ
โŒจ๏ธ (0:00:00) What is statistics
โŒจ๏ธ (0:33:34) Sampling
โŒจ๏ธ (1:21:20) Experimental design
โŒจ๏ธ (2:00:32) Randomization
โŒจ๏ธ (2:16:25) Frequency histogram and distribution
โŒจ๏ธ (2:35:58) Time series, bar and pie graphs
โŒจ๏ธ (3:10:10) Frequency table and stem-and-leaf
โŒจ๏ธ (3:39:41) Measures of central tendency
โŒจ๏ธ (4:11:56) Measure of variation
โŒจ๏ธ (4:58:35) Percentile and box-and-whisker plots
โŒจ๏ธ (5:24:58) Scatter diagrams and linear correlation
โŒจ๏ธ (6:39:54) Normal distribution and empirical rule
โŒจ๏ธ (7:05:39) Z-score and probabilities
โŒจ๏ธ (7:45:11) Sampling distributions and the central limit theorem

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