Preview Statistical data analysis Statistical Data Science Part 1

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Getting Started

1 Central tendency (mean and median

2 Variance and standard deviation

3 Data dispersion

4 Standard error/confidence intervals

5 Significance testing (test choice)

6 Significance testing (p value)

7 -the t test

8 -the F test

9 ANOVA

10 Shapiro-Wilk test

11 Kolmogorov-Smirnov

12 -Mann-Whitney U test

13 Kruskal-Wallis test

14 Levene's Test

15 Categorical data (intro and test choice)

16 Exact binomial test/exact multinomial test

17 Fisher's exact test

18 Chi-squared test

19 Pearson product-moment correlation

20 Non-parametric correlation

21 Linear regression

22 ANCOVA

23 -Logistic regression

24 Mahalanobis distance

25 Hotelling T2 test

26 MANOVA

27 Resampling methods (bootstrapping)

28 Resampling (two-sample tests)

29 Principal Component Analysis

30 Non-Metric Multidimensional Scaling (NMDS)

31 - Maximum likelihood estimation

Preview - Statistical data analysis Statistical Data Science Part 1