Week # Revenue Print Ad TV Ad
1 $20,000 $ 3,100 $ 4,100
2 $22,000 $ 2,600 $ 4,200
3 $18,000 $ 2,800 $ 4,500
4 $21,000 $ 3,300 $ 4,300
5 $20,500 $ 3,100 $ 4,000
6 $19,000 $ 2,900 $ 3,700
7 $17,500 $ 2,500 $ 3,500
8 $21,225 $ 2,800 $ 3,600
9 $23,148 $ 3,000 $ 4,100
10 $22,865 $ 3,100 $ 4,400
11 $18,596 $ 2,600 $ 3,700
12 $17,432 $ 2,500 $ 3,100
Determine exactly how many weeks of data would be needed to have a margin of error less than 1.7% for the proportion of revenue greater than $20,000 for the 95% and 99% levels.
Solution:-
a) The estimated number of weeks of data would be needed to have a margin of error less than 1.7% for the proportion of revenue greater than $20,000 for the 95% is 3324.
x = 6, n = 12
M.E = 0.017
n = 3323.19
n = 3324
b) The estimated number of weeks of data would be needed to have a margin of error less than 1.7% for the proportion of revenue greater than $20,000 for the 99% is 5741.
x = 6, n = 12
M.E = 0.017
n = 5740.29
n = 5741
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