Watch Crash Course Statistics - Season 1 Episode 27 : Full Episode Online in HD Quality

Crash Course Statistics - Season 1 Episode 27

Crash Course Statistics

Elýeterli formatlar Crash Course Statistics

Crash Course Statistics

Howpsuz skaner : 10/13/2024 Serediň HD Göçürip al HD

Crash Course Statistics

Crash Course Statistics - Season 1 Episode 27

Crash Course Statistics - Season 1 Episode 27

.Yl: 2019
Reanr:
Countryurt: United States of America
Studiýa: YouTube
Direktor:
Aktrisa: Adriene Hill
Ekipa:
Alternatiw atlar:
Açar söz: mathematics, educational, statistics, statistician

Gysgaça syn: Today we're going to walk through a couple of statistical approaches to answer the question: "is coffee from the local cafe, Caf-fiend, better than that other cafe, The Blend Den?" We'll build a two sample t-test which will tell us how many standard errors away from the mean our observed difference is in our tasting experiment, and then we'll introduce a matched pair t-tests which allow us to remove variation in the experiment. All of these approaches rely on the test statistic framework we introduced last episode.

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Ilkinji howa senesi: Jan 24, 2018 Soňky howa senesi: Jan 09, 2019 Möwsüm: 1 Möwsüm Bölüm: 44 Bölüm Iş wagty: 13 minut Hil: HD IMDb: 2.00 / 10 tarapyndan 1 ulanyjylar Meşhurlyk: 3.213 Dil: English

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1. What Is Statistics2018-01-24
Serediň
2. Mathematical Thinking2018-01-31
Serediň
3. Mean, Median, and Mode: Measures of Central Tendency2018-02-07
Serediň
4. Measures of Spread2018-02-14
Serediň
5. Charts Are Like Pasta - Data Visualization Part 12018-02-21
Serediň
6. Plots, Outliers, and Justin Timberlake: Data Visualization Part 22018-02-28
Serediň
7. The Shape of Data: Distributions2018-03-07
Serediň
8. Correlation Doesn’t Equal Causation2018-03-14
Serediň
9. Controlled Experiments2018-03-21
Serediň
10. Sampling Methods and Bias with Surveys2018-03-28
Serediň
11. Science Journalism2018-04-11
Serediň
12. Henrietta Lacks, the Tuskegee Experiment, and Ethical Data Collection2018-04-18
Serediň
13. Probability Part 1: Rules and Patterns2018-04-25
Serediň
14. Probability Part 2: Updating Your Beliefs with Bayes2018-05-02
Serediň
15. The Binomial Distribution2018-05-09
Serediň
16. Geometric Distributions and The Birthday Paradox2018-05-16
Serediň
17. Randomness2018-05-23
Serediň
18. Z-Scores and Percentiles2018-05-30
Serediň
19. The Normal Distribution2018-06-06
Serediň
20. Confidence Intervals2018-06-13
Serediň
21. How P-Values Help Us Test Hypotheses2018-06-27
Serediň
22. P-Value Problems2018-07-11
Serediň
23. Playing with Power: P-Values Pt 32018-07-18
Serediň
24. You Know I’m All About that Bayes2018-07-25
Serediň
25. Bayes in Science and Everyday Life2018-08-01
Serediň
26. Test Statistics2018-08-08
Serediň
27. T-Tests: A Matched Pair Made in Heaven2018-08-15
Serediň
28. Degrees of Freedom and Effect Sizes2018-08-22
Serediň
29. Chi-Square Tests2018-08-29
Serediň
30. P-Hacking2018-09-05
Serediň
31. The Replication Crisis2018-09-26
Serediň
32. Regression2018-10-03
Serediň
33. ANOVA2018-10-10
Serediň
34. ANOVA Part 2: Dealing with Intersectional Groups2018-10-17
Serediň
35. Fitting Models Is like Tetris2018-10-24
Serediň
36. Supervised Machine Learning2018-10-31
Serediň
37. Unsupervised Machine Learning2018-11-07
Serediň
38. Intro to Big Data2018-11-14
Serediň
39. Big Data Problems2018-11-21
Serediň
40. Statistics in the Courts2018-11-28
Serediň
41. Neural Networks2018-12-12
Serediň
42. War2018-12-19
Serediň
43. When Predictions Fail2019-01-02
Serediň
44. When Predictions Succeed2019-01-09
Serediň

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