Learn the basic statistical measures - Assignment 11
Problem : Study Habits and Examination Performance
Problem Statement
A teacher wants to investigate whether students' study habits are related to their examination performance. The following data were collected from 10 students.
| Student | Study Hours/Week | Exam Marks |
|---|---|---|
| S1 | 8 | 55 |
| S2 | 10 | 60 |
| S3 | 12 | 65 |
| S4 | 15 | 70 |
| S5 | 16 | 72 |
| S6 | 18 | 78 |
| S7 | 20 | 80 |
| S8 | 22 | 85 |
| S9 | 25 | 88 |
| S10 | 28 | 92 |
Tasks
Students should:
- Create a data frame containing the above data.
-
For Study Hours and Exam Marks, calculate:
- Mean
- Median
- Mode
-
Calculate measures of variability:
- Range
- Variance
- Standard deviation
- Interquartile range (IQR)
- Calculate the covariance between Study Hours and Exam Marks.
- Calculate the Pearson correlation coefficient between Study Hours and Exam Marks.
- Draw a scatter plot of Study Hours versus Exam Marks.
- Box plot of Study Hours and Exam Marks.
- Interpret the covariance and correlation.
- Based on the results, comment on whether students who study more hours tend to obtain higher marks.
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