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j. Create a Conditional Probabilities Pivot Table (% of column) for ‘Gender’ and ‘Prefer Scent’, to know the probability...

j. Create a Conditional Probabilities Pivot Table (% of column) for ‘Gender’ and ‘Prefer Scent’, to know the probability that a customer will be of a certain gender given Yes or No preference for the scent. (For example, that if a customer comes into the store because they prefer the scent, what is the probability that the customer will be a female). Create another Conditional Probabilities Table (% of row) for ‘Gender’ and ‘Prefer Scent’, to know the probability that a customer of a given gender will answer Yes or No. (For example, that if a female customer comes into the store, what is the probability that she will prefer the scent)

TABLE C3-1: Teen Shoppers at ForU21 by Gender, Age, Scent Preference, Purpose of Visit, and Total $ Spent
Customer Gender Age Group Prefer Scent Purpose of Visit Total Spent
1 M 13-14 YES PURCHASE   25
2 M 15-16 NO FRIENDS 16
3 F 13-14 NO PURCHASE   11
4 M 17-18 YES FRIENDS 68
5 F 19-20 YES IMPULSIVE 34
6 F 13-14 NO PURCHASE   23
7 M 19-20 YES PURCHASE   46
8 F 13-14 YES FRIENDS 10
9 F 15-16 YES FRIENDS 75
10 F 15-16 NO IMPULSIVE 68
11 M 13-14 NO IMPULSIVE 17
12 F 17-18 NO PURCHASE   22
13 M 13-14 NO FRIENDS 7
14 M 19-20 YES IMPULSIVE 41
15 F 17-18 YES FRIENDS 26
16 M 17-18 NO PURCHASE   12
17 M 15-16 YES PURCHASE   19
18 F 17-18 NO FRIENDS 4
19 F 19-20 YES IMPULSIVE 39
20 F 13-14 YES PURCHASE   8
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Answer #1


Gender Male Female Totals YES5 6 Prefer Scent 9 9 11 20 P(Customer will pre scent!Male)-(5/9) * 100-55.56% P(Customer will no

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