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MIT 18.650 Statistics for Applications, Fall 2016

by MIT OpenCourseWare · 22 videos

Total watch time

1d 4h 1m

at 1× speed · exactly 1 day, 4 hours, 44 seconds at 1×

1×1d 4h 44s
1.25×22h 24m 35s
1.5×18h 40m 29s
1.75×16h 25s
2×14h 22s
Average video1h 16m 24s
Longest1h 22m 48s
Shortest54m 45s
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About 29 days at an hour a day

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Videos (22)

1d 4h 1m in total · tick what you've watched

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Videos to
Watched
1 1. Introduction to Statistics 1:18:03 2017-10-30
2 2. Introduction to Statistics (cont.) 1:17:09 2017-08-17
3 3. Parametric Inference 1:22:37 2017-08-17
4 4. Parametric Inference (cont.) and Maximum Likelihood Estimation 1:17:57 2017-08-17
5 5. Maximum Likelihood Estimation (cont.) 1:16:32 2017-08-17
6 6. Maximum Likelihood Estimation (cont.) and the Method of Moments 1:19:09 2017-08-17
7 7. Parametric Hypothesis Testing 1:18:51 2017-08-17
8 8. Parametric Hypothesis Testing (cont.) 1:18:33 2017-08-17
9 9. Parametric Hypothesis Testing (cont.) 1:21:22 2017-08-17
10 11. Parametric Hypothesis Testing (cont.) and Testing Goodness of Fit 1:22:48 2017-08-17
11 12. Testing Goodness of Fit (cont.) 1:21:17 2017-08-17
12 13. Regression 1:16:02 2017-08-17
13 14. Regression (cont.) 1:13:59 2017-08-17
14 15. Regression (cont.) 1:15:29 2017-08-17
15 17. Bayesian Statistics 1:18:05 2017-08-17
16 18. Bayesian Statistics (cont.) 1:03:06 2017-08-17
17 19. Principal Component Analysis 1:17:12 2017-08-17
18 20. Principal Component Analysis (cont.) 1:16:53 2017-08-17
19 21. Generalized Linear Models 1:15:14 2017-08-17
20 22. Generalized Linear Models (cont.) 1:17:20 2017-08-17
21 23. Generalized Linear Models (cont.) 1:18:21 2017-08-17
22 24. Generalized Linear Models (cont.) 54:45 2017-08-17

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