Consider the data in the table below which was collected from a random sample of 20 vendors at a local open market during the first week after the lockdown period: Vendor Type of service Gender Number of years in operation Daily income (N$) 1 Food & Drinks Male > 5 years 1555 2 Food & Drinks Male < 1 year 806 3 Food & Drinks Female Between 1 and 5 years 1150 4 Food & Drinks Female Between 1 and 5 years 1350 5 Food & Drinks Female > 5 years 1790 6 Food & Drinks Female Between 1 and 5 years 1660 7 Food & Drinks Male < 1 year 505 8 Food & Drinks Female > 5 years 1950 9 Clothing Male Between 1 and 5 years 2440 10 Clothing Male > 5 years 1811 11 Clothing Female Between 1 and 5 years 1904 12 Clothing Female > 5 years 2209 13 Clothing Female < 1 year 1600 14 Clothing Female > 5 years 2010 15 Clothing Female Between 1 and 5 years 2301 16 Electronics Male Between 1 and 5 years 299 17 Electronics Male < 1 year 549 18 Electronics Male > 5 years 662 19 Electronics Male Between 1 and 5 years 1444 20 Electronics Female < 1 year 755 REQUIRED TO: Are the data time series or cross-sectional? Motivate. Indicate the data type for each of the random variables. Indicate the data measurement scale for each of the random variables.

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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Consider the data in the table below which was collected from a random sample of 20 vendors at a local open market during the first week after the lockdown period:

*Vendor*	*Type of service*	*Gender*	*Number of years in operation*	*Daily income (N$)*
1	Food & Drinks	Male	> 5 years	1555
2	Food & Drinks	Male	< 1 year	806
3	Food & Drinks	Female	Between 1 and 5 years	1150
4	Food & Drinks	Female	Between 1 and 5 years	1350
5	Food & Drinks	Female	> 5 years	1790
6	Food & Drinks	Female	Between 1 and 5 years	1660
7	Food & Drinks	Male	< 1 year	505
8	Food & Drinks	Female	> 5 years	1950
9	Clothing	Male	Between 1 and 5 years	2440
10	Clothing	Male	> 5 years	1811
11	Clothing	Female	Between 1 and 5 years	1904
12	Clothing	Female	> 5 years	2209
13	Clothing	Female	< 1 year	1600
14	Clothing	Female	> 5 years	2010
15	Clothing	Female	Between 1 and 5 years	2301
16	Electronics	Male	Between 1 and 5 years	299
17	Electronics	Male	< 1 year	549
18	Electronics	Male	> 5 years	662
19	Electronics	Male	Between 1 and 5 years	1444
20	Electronics	Female	< 1 year	755

REQUIRED TO:

Are the data time series or cross-sectional? Motivate.
Indicate the data type for each of the random variables.
Indicate the data measurement scale for each of the random variables.
Construct an appropriate tabular representation/summary of the random variable Number of years in operation and provide an interpretation.
Construct a cross-tabulation of the data on Daily Income and Type of service and provide an interpretation. Hint: Use a class width of N$ 500 for Daily Income.
Calculate and interpret relative measures of variability for the Daily Income for each of the three categories of Type of service.

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