Statistical Modeling and HypoThesis Testing in R By janani-ravi

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301.67 MB | 00:06:11 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 System and Software Requirements.mp4 (1.26 MB)
02 Hypothesis Testing.mp4 (4.69 MB)
03 Statistical Testing.mp4 (7.66 MB)
04 T-tests.mp4 (7.74 MB)
05 Demo - Two-sample T-test.mp4 (14.47 MB)
06 Demo - Paired Samples T-test and the Wilcoxon Signed-rank Test.mp4 (7.57 MB)
07 ANOVA.mp4 (4.91 MB)
08 Demo - ANOVA and Tukeys HSD.mp4 (8.96 MB)
09 Demo - Kruskal-Wallis Test and Dunns Test.mp4 (5.7 MB)
10 MANOVA.mp4 (2.76 MB)
11 Demo - MANOVA.mp4 (11.7 MB)
12 Pearsons Chi2 Test.mp4 (4.62 MB)
13 Demo - Chi2 Test.mp4 (8.51 MB)
1 Linear Regression.mp4 (5.44 MB)
2 Demo - Linear Regression.mp4 (13.49 MB)
3 Genaralized Linear Models.mp4 (3.35 MB)
4 Demo - Logistic Regression.mp4 (14.23 MB)
5 Demo - Poisson Regression.mp4 (8.92 MB)
1 Mixed-effects Models.mp4 (3.33 MB)
2 Demo - Mixed-effects Models.mp4 (14.25 MB)
3 State Models.mp4 (2.36 MB)
4 Survival Models.mp4 (4.91 MB)
5 The Kaplan-Meier Estimator and the Cox Proportional Hazards Model.mp4 (3.04 MB)
6 Demo - Survival Analysis.mp4 (5.97 MB)
7 Demo - Kaplan-Meier Analysis.mp4 (7.57 MB)
8 Demo - Cox Proportional Hazards Model.mp4 (5 MB)
1 Demo - Using Visualizations to Interpret Data.mp4 (17.21 MB)]
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