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.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 9PPS
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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;

  1. determine whether it is the data time series or cross sectional? Motivate the reason.
  2. Calculate and interpret the following descriptive measures for the random variable Income:                                                                                
  1. Mean
  2. Median
  3. Mode
  4. 33rd percentile
  5. 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.                                                                      

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