You have surveyed 30 people and asked whether they are male (M) or female (F), and how many large personal purchases ($5,000 or more per purchase) they've made in the past 6 months. Your survey results in following raw data:
Person
|
Gender
|
Purchases (over $5,000)
|
#1
|
M
|
1
|
#2
|
M
|
1
|
#3
|
F
|
2
|
#4
|
F
|
0
|
#5
|
M
|
1
|
#6
|
F
|
2
|
#7
|
F
|
0
|
#8
|
M
|
1
|
#9
|
M
|
2
|
#10
|
F
|
0
|
#11
|
M
|
1
|
#12
|
F
|
1
|
#13
|
M
|
0
|
#14
|
F
|
0
|
#15
|
M
|
0
|
#16
|
M
|
0
|
#17
|
F
|
1
|
#18
|
M
|
0
|
#19
|
M
|
0
|
#20
|
F
|
1
|
#21
|
F
|
0
|
#22
|
M
|
0
|
#23
|
M
|
0
|
#24
|
M
|
1
|
#25
|
F
|
2
|
#26
|
M
|
0
|
#27
|
M
|
0
|
#28
|
F
|
0
|
#29
|
F
|
1
|
#30
|
M
|
1
|
What level of measurement is the variable Gender? Purchases?
Construct a frequency table for Gender and one for Purchases.