QUESTIONConsider 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$) 1 Food & Drinks Male > 5 years 1555 2 Food & Drinks Male 806 3 Food & Drinks Female Between 1 and 5 years 1150 4 Food & Drinks Female Between 1 and 5 years 1350 5 Food & Drinks Female > 5 years 1790 6 Food & Drinks Female Between 1 and 5 years 1660 7 Food & Drinks Male 505 8 Food & Drinks Female > 5 years 1950 9 Clothing Male Between 1 and 5 years 2440 10 Clothing Male > 5 years 1811 11 Clothing Female Between 1 and 5 years 1904 12 Clothing Female > 5 years 2209 13 Clothing Female 1600 14 Clothing Female > 5 years 2010 15 Clothing Female Between 1 and 5 years 2301 16 Electronics Male Between 1 and 5 years 299 17 Electronics Male 549 18 Electronics Male > 5 years 662 19 Electronics Male Between 1 and 5 years 1444 20 Electronics Female 755 REQUIRED TO: Are the data time series or cross-sectional? Motivate. Indicate the data type for each of the random variables. Indicate the data measurement scale for each of the random variables. Construct an appropriate tabular representation/summary of the random variable Number of years in operation and provide an interpretation. Construct a cross-tabulation of the data on Daily Income and Type of service and provide an interpretation. Hint: Use a class width of N$ 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.

QUESTION 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...

QUESTION

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="">	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="">	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="">	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="">	549
18	Electronics	Male	> 5 years	662
19	Electronics	Male	Between 1 and 5 years	1444
20	Electronics	Female	< 1="">	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.

Jun 03, 2022

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QUESTION 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...

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