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​