In: Statistics and Probability
In a marketing survey, a random sample of 1055 supermarket shoppers revealed that 328 always stock up on an item when they find that item at a bargain price. Construct a 90% confidence interval for the true percentage of supermarket shoppers that stock up on an item when they find it at a bargain price. Interpret your result. [
Solution :
Given that,
n = 1055
x = 328
Point estimate = sample proportion = = x / n = 328 / 1055 = 0.311
1 - = 1 - 0.311 = 0.689
At 90% confidence level
= 1 - 90%
=1 - 0.90 =0.10
/2
= 0.05
Z/2
= Z0.05 = 1.645
Margin of error = E = Z / 2 * (( * (1 - )) / n)
= 1.645 (((0.311 * 0.689) / 1055 )
= 0.023
A 90% confidence interval for population proportion p is ,
± E
= 0.311 ± 0.023
= ( 0.288, 0.334 )
We are 90% confident that the true percentage of supermarket shoppers that stock up on an item when they find it at a bargain price between 0.288 and 0.334.