Syllabus
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Course Code: MMATH21-403 Course Name: Practical – IV |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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| 1 | List of Programs: The following practicals will be done on the R platform/software package and record of those will be maintained in the practical Note Book: 1. Starting R, entering data, storing data as a vector. |
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| 2 | 2. Entering data into R; i. Using c ii. Using scan iii. Using scan with file iv. Editing your data v. Reading in tables of data vi. Spreadsheet data |
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| 3 | 3. Practical examples illustrating templates of functions, for loops and conditional expressions in R. | |
| 4 | 4. Find mean, variance and standard deviation using R functions. | |
| 5 | 5. Practical examples with univariate data: i. Categorical data; Using tables, factors, bar chart, pie chart ii. Numerical data; measures of center and spread iii. Stems and leaf charts, histograms, boxplots, frequency polygons using R functions | |
| 6 | 6. Comparison of bivariate data with plots. | |
| 7 | 7. Program to fit linear regression line. | |
| 8 | 8. Program to find Spearman’s rank correlation coefficient. | |
| 9 | 9. Practical examples of plotting graphs using points, abline, lines, plot and curve R functions. | |
| 10 | 10. Practical examples of storing, accessing and manipulating multivariate data in data frames. | |
| 11 | 11. Generate random numbers using uniform, normal, binomial, exponential distributions. | |
| 12 | 12. To estimate confidence interval using p-test. | |
| 13 | 13. To estimate confidence interval using t-test. | |
| 14 | 14. To estimate confidence interval using z-test. | |
| 15 | 15. Hypothesis testing by mean and median. | |
