(a) p = 0.30
n = 1744
z = 1.96
The 95% confidence interval will be:
= p ± z*(√p(1-p)/n)
= 0.30 ± 1.96*(√0.30(1-0.30)/1744)
= (0.2785, 0.3215)
We are 95% confident that the true proportion of all US buyers who would have chosen Opinion A is between 0.2785 and 0.3215.
(b) This is because we assume the number of failures and successes for a sample should be greater than 10 in order to meet the normal approximation condition.
written on paper would be best Question 3 (Essay Worth 10 points) (05.04 MC) Two opposing...
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