0 ืฆืคืืืชยท 16 ืืืืืกื 2022
Statistics - A Full University Course on Data Science Basics
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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.
๐ฅ Course by Monika Wahi.
๐ 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
๐ Monika Wahi's LinkedIn Learning courses are here: https://www.linkedin.com/learn....ing/instructors/moni
๐ Visit Monika Wahi's web page here: http://www.dethwench.com/
๐ Monika Wahi's peer-reviewed articles listed here: https://scholar.google.com/citations?user=v3BDf1oAAAAJ&hl=en
โญ๏ธ Course Contents โญ๏ธ
โจ๏ธ (0:00:00) What is statistics
โจ๏ธ (0:33:34) Sampling
โจ๏ธ (1:21:20) Experimental design
โจ๏ธ (2:00:32) Randomization
โจ๏ธ (2:16:25) Frequency histogram and distribution
โจ๏ธ (2:35:58) Time series, bar and pie graphs
โจ๏ธ (3:10:10) Frequency table and stem-and-leaf
โจ๏ธ (3:39:41) Measures of central tendency
โจ๏ธ (4:11:56) Measure of variation
โจ๏ธ (4:58:35) Percentile and box-and-whisker plots
โจ๏ธ (5:24:58) Scatter diagrams and linear correlation
โจ๏ธ (6:39:54) Normal distribution and empirical rule
โจ๏ธ (7:05:39) Z-score and probabilities
โจ๏ธ (7:45:11) Sampling distributions and the central limit theorem
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