Watch Crash Course Statistics - Season 1 Episode 3 : Full Episode Online in HD Quality

Crash Course Statistics - Season 1 Episode 3

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 3

Crash Course Statistics - Season 1 Episode 3

.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 talk about measures of central tendency - those are the numbers that tend to hang out in the middle of our data: the mean, the median, and mode. All of these numbers can be called “averages” and they’re the numbers we tend to see most often - whether it’s in politics when talking about polling or income equality to batting averages in baseball (and cricket) and Amazon reviews. Averages are everywhere so today we’re going to discuss how these measures differ, how their relationship with one another can tell us a lot about the underlying data, and how they are sometimes used to mislead.

Serediň Trailer

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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