Statistics with R – Intermediate Level

سرفصل های دوره

Statistical analyses using the R program

1. Introduction

1. Introduction

2. Test of Association

1. Pearson Correlation

2. Spearman and Kendall Correlation

3. Partial Correlation

4. Chi-Square Test For Independence

5.1 intermediate section 1.pdf

5. R Codes File for the First Chapter.html

6.1 Practice intermediate section 1.pdf

6. Practical Exercises for the First Chapter.html

3. Mean Difference Tests

1. Independent-Sample T Test

2. Paired-Sample T Test

3. Oneway ANOVA

4. Twoway ANOVA - Basics

5. Twoway ANOVA - Simple Main Effects

6. Threeway ANOVA - Basics

7. Threeway ANOVA - Simple Second Order Interaction Effects

8. Threeway ANOVA - Simple Main Effects

9. Oneway MANOVA

10. Mann-Whitney Test

11. Wilcoxon Test

12. Kruskal-Wallis Test

13.1 intermediate section 2.pdf

13. R Codes File for the Second Chapter.html

14.1 Practice intermediate section 2.pdf

14. Practical Exercises for the Second Chapter.html

4. Predictive Techniques

1. Multiple Linear Regression - Basics

2. Multiple Linear Regression - Testing Assumptions

3. Multiple Regression with Dummy Variables

4. Sequential Regression

5.1 intermediate section 3.pdf

5. R Codes File for the Third Chapter.html

6.1 Practice intermediate section 3.pdf

6. Practical Exercises for the Third Chapter.html

5. Reliabilty Analysis

1. Cronbachs Alpha

2. Cohens Kappa

3. Kendalls W

4.1 intermediate section 4.pdf

4. R Codes File for the Fourth Chapter.html

5.1 Practice intermediate section 4.pdf

5. Practical Exercises for the Fourth Chapter.html

6. Course Materials

1. Download Links.html

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