Textbook

Navarro, D. (2017) Learning statistics with R: A tutorial for psychology students and other beginners (Version 0.6) University of New South Wales. (CC BY-SA 4.0)

• PDF Version: https://learningstatisticswithr.com/lsr-0.6.pdf
• Manifold Version: https://cuny.manifoldapp.org/read/learning-statistics-with-r-a-tutorial-for-psychology-students-and-other-beginners-version-0-6

Labs, Problem Sets, and Notebooks on Kaggle

A free Kaggle Account needed to view. 1) Register for a Kaggle account using this link. You can refer to this R tutorial on Kaggle as an additional set of notes on how to use R in Kaggle. I find this is extremely useful: https://www.kaggle.com/rtatman/getting-started-in-r-first-steps. Links to an external site.

The channel for this class lives at https://www.kaggle.com/sevdenurkoru/code

Links to Problem Sets

1. PS 1 Introduction

https://www.kaggle.com/code/sevdenurkoru/problem-set-1

2. PS2 on Measurement

https://www.kaggle.com/code/sevdenurkoru/problem-set-no-2

3. PS 3 on Summation Equation and Summary Statistics

https://www.kaggle.com/sevdenurkoru/problem-set-no-3

4. PS 4 on Data Manipulation

https://www.kaggle.com/sevdenurkoru/problem-set-4

5. (Problem Set 5 is a review sheet)

6. PS 6 on Confidence Intervals and Group Project

https://www.kaggle.com/sevdenurkoru/problem-set-6

7. PS 7 on Relationship between two variables Visualization

https://www.kaggle.com/code/sevdenurkoru/problem-set-7

8. PS 8 on Hypothesis testing for Comparison of Groups

https://www.kaggle.com/code/sevdenurkoru/problem-set-8

9. PS 9 on Crosstables

https://www.kaggle.com/code/sevdenurkoru/problem-set-9

10. PS 10 on Hypothesis Testing with Two Continuous Variables

https://www.kaggle.com/code/sevdenurkoru/problem-set-10

Links to Labs

1) Lab 1 and Lab 2 on Intro to Data Analysis:

https://www.kaggle.com/code/sevdenurkoru/lab-1-introduction-to-data-analysis-using-r/edit/run/73367529

a. For PS #1 and 2

2) Same with first week

3) Lab 3 on Central Tendency Measures and Intro to Data Visualization

https://www.kaggle.com/code/sevdenurkoru/lab-3-central-tendency-measures-and-data-visualiz

a. For PS #3

4) Lab 4 on Review and Data Manipulation

https://www.kaggle.com/code/sevdenurkoru/lab-4-review-and-data-manipulation-in-r

Lab 4 on Statistical Inference Part I

https://www.kaggle.com/code/sevdenurkoru/lab-4-statistical-inference-part-i

a. Both for PS #4

5) Lab 5 on confidence intervals

https://www.kaggle.com/code/sevdenurkoru/lab-5-calculating-confidence-intervals

a. For PS #6

6) Lab 6 on Group Project

https://www.kaggle.com/code/sevdenurkoru/gss-overview

a. For Group project and all PS asking for the group project

7) Lab 7 on Relationships between two variables

https://www.kaggle.com/code/sevdenurkoru/lab-7-relationship-between-two-variables-vis

a. For PS #7

8) Lab 8 on Hypothesis Testing and Causal Relations

https://www.kaggle.com/code/sevdenurkoru/lab-8-on-causal-inference-and-hypothesis-testing

a. For PS#8

9) Lab 9 on Crosstables

https://www.kaggle.com/code/sevdenurkoru/lab-9-on-crosstables

a. For PS #9

10) Lab 10 on Hypothesis testing with two continuous variables, Part I

https://www.kaggle.com/code/sevdenurkoru/lab-10-hypothesis-test-w-2-continuous-varspart-i

a. For PS #10

11) Lab 11 on Hypothesis testing with two continuous variables, Part II – Multiple regression

https://www.kaggle.com/code/sevdenurkoru/lab-11-multiple-regression

a. Again for PS #10

Class Lecture Slides and PPTs

TBD

Other Resources

TBD