JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Course Objectives:

• To learn how to load, clean data in R
• To learn how to compute probabilities in R
• To learn how to fit probability distributions in R
• To learn how to apply testing of hypothesis techniques to make decisions using R
• To learn how to fit regression lines to a dataset using R

Course Outcomes

At the end of the course a student acquires the ability to

• Handle the data set using R
• Visualize and make decisions about the data using R
• Compute the probabilities using R
• Fit the appropriate probability distribution and to a dataset using R
• Draw conclusions by fitting appropriate regression model to the dataset using R List of Exercises Using R:
• 1. Basic Commands, Indexing Data, Loading Data
• 2. Descriptive Statistics
• 3. Visualization
• 4. Calculating simple probabilities
• 5. Fitting of Binomial distribution
• 6. Fitting of Poisson distribution
• 7. Fitting of Normal Distribution
• 8. Testing of hypothesis for means
• 9. Testing of hypothesis for proportions
• 10. Student’s t-test
• 11. Chi-square test for independence of Attributes
• 12. Chi-square test for goodness of fit
• 13. Correlation coefficient and rank correlation coefficient
• 14. Simple linear regression
• 15. Multiple linear regression
• 16. Logistic regression

Reference Books:

• 1. Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, “An Introduction to Statistical Learning”, Springer Publications.
• 2. Matthias Kohl, “Introduction to Statistical data analysis with R”, Bookboon. Page 41 of 61 II Year B. Tech. ITE I-Semester