This course is being taught as a part of our Jonglei Institute of Science & Technology (JIST) online program. However, I will be teaching this course here with R and Python.

Elementary Statistics:

*Picturing the World - Annotated Instructor’s Edition*, 3rd Ed. by Ron Larson and Betsy Farber (Pearson, 2006).R: Data Analysis and Visualization by Fischetti et al. (Packt, 2016).

Python: Data Analytics and Visualization by Phuong Vo.T.H; Martin Czygan; Ashish Kumar; and Kirthi Raman (Packt, 2017).

- Introduction to Statistics
- Descriptive Statistics
- Probability
- Discrete Probability Distribution
- Normal Probability Distribution
- Confidence Intervals
- Hypothesis Testing with One Sample
- Hypothesis Testing with Two Samples
- Correlation and Regression
- Chi-Square Tests and the
-Distribution*F* - Nonparametric Tests

For attribution, please cite this work as

Reng (2019, Jan. 4). Reng Data Science Institute: Introductory Statistics. Retrieved from https://www.rengdatascience.io/posts/2019-01-04-introductory-statistics/

BibTeX citation

@misc{reng2019introductory, author = {Reng, Alier Ëë}, title = {Reng Data Science Institute: Introductory Statistics}, url = {https://www.rengdatascience.io/posts/2019-01-04-introductory-statistics/}, year = {2019} }