Samuel is a butchery vendor at a local open market. His daily income and the number of hours worked for the first ten days after the lockdown period is shown below: Day Income (N$) Number of hours 1 800 6 2 900 8 3 600 4 4 1200 5 5 1400 9 6 2000 9 7 1400 8 8 900 6 9 1300 7 10 1400 8 REQUIRED TO; determine whether it is the data time series or cross sectional? Motivate the reason. Calculate and interpret the following descriptive measures for the random variable Income: Mean Median Mode 33rd percentile Interquartile range 3. Calculate and interpret the covariance between the random variables Income and Number of hours worked. 4. Calculate and interpret the correlation coefficient between the random variables Income and Number of hours worked.
Samuel is a butchery vendor at a local open market. His daily income and the number of hours worked for the first ten days after the lockdown period is shown below: Day Income (N$) Number of hours 1 800 6 2 900 8 3 600 4 4 1200 5 5 1400 9 6 2000 9 7 1400 8 8 900 6 9 1300 7 10 1400 8 REQUIRED TO; determine whether it is the data time series or cross sectional? Motivate the reason. Calculate and interpret the following descriptive measures for the random variable Income: Mean Median Mode 33rd percentile Interquartile range 3. Calculate and interpret the covariance between the random variables Income and Number of hours worked. 4. Calculate and interpret the correlation coefficient between the random variables Income and Number of hours worked.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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QUESTION
Samuel is a butchery vendor at a local open market. His daily income and the number of hours worked for the first ten days after the lockdown period is shown below:
Day |
Income (N$) |
Number of hours |
1 |
800 |
6 |
2 |
900 |
8 |
3 |
600 |
4 |
4 |
1200 |
5 |
5 |
1400 |
9 |
6 |
2000 |
9 |
7 |
1400 |
8 |
8 |
900 |
6 |
9 |
1300 |
7 |
10 |
1400 |
8 |
REQUIRED TO;
- determine whether it is the data time series or cross sectional? Motivate the reason.
- Calculate and interpret the following descriptive measures for the random variable Income:
Mean Median Mode - 33rd percentile
Interquartile range
3. Calculate and interpret the
of hours worked.
4. Calculate and interpret the
and Number of hours worked.
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