Store type x s Food stores 18.36 25.11 Mass merchandisers 32.02 33.30 Pharmacies
ID: 3068609 • Letter: S
Question
Store type x s Food stores 18.36 25.11 Mass merchandisers 32.02 33.30 Pharmacies 48.68 35.67 pharmaciescitizens of Indianapolis the American publicsick peopleconsumers the American publicpharmacies consumerssick peoplecitizens of Indianapolis Yes, the pharmacy interval is well above the others.Yes, the mass merchandiser interval is well above the others. Yes, the food store interval is well below the others.No, there is no clear evidence of a significant difference. Store type x s Food stores 18.36 25.11 Mass merchandisers 32.02 33.30 Pharmacies 48.68 35.67Explanation / Answer
Answer:
By using, given data,
here ,n=196
(A) Here the sample size is 196(n) which is big so it is normal population.
(B) For food stores:
std error =std deviation/(n)1/2
=25.11/(196)^1/2
=1.793
and for 90% CI, z=1.645
hence confidence interval for food stores: =mean +/- z*std deviation
=18.36+/-1.645*1.793
=15.410 ; 21.309
similarly confidence interval for mass marchendisers:
std error =std deviation/(n)1/2
=33.30/(196)^1/2
=2.378
and for 90% CI, z=1.645
hence confidence interval for food stores: =mean +/- z*std deviation
=33.30+/-1.645*2.378
=29.388 ; 37.211
for pharmacies"
std error =std deviation/(n)1/2
=35.67/(196)^1/2
=2.547
and for 90% CI, z=1.645
hence confidence interval for food stores: =mean +/- z*std deviation
=48.68+/-1.645*2.547
=44.490;52.869
(C) Hence option B is correct.
Yes, the pharmacy interval is well above the others.
Store type x s Food stores 18.36 25.11 Mass merchandisers 32.02 33.30 Pharmacies 48.68 35.67