A restaurant wants to test a new in-store marketing scheme in a small stores before rolling it out nationwide. The new ad promotes a premium drink that they want to increase the sales of. 10 locations are chosen at random and the number of drinks sold are recorded for 2 months before the new ad campaign and 2 months after. The average difference in the sales quantity (after before) is -89.279 with a standard deviation of 58.6494. Calculate a 95% confidence interval to estimate the true average difference in nationwide sales quantity before the ad campaign and after. 1) (-107.8256, -70.7324) 2) (-131.2343, -47.3237) 3) (131.2343, -47.3237) 4) (-91.5412, -87.0168) 5) (-130.6033, -47.9547)
A restaurant wants to test a new in-store marketing scheme in a small stores before rolling it out nationwide. The new ad promotes a premium drink that they want to increase the sales of. 10 locations are chosen at random and the number of drinks sold are recorded for 2 months before the new ad campaign and 2 months after. The average difference in the sales quantity (after before) is -89.279 with a standard deviation of 58.6494. Calculate a 95% confidence interval to estimate the true average difference in nationwide sales quantity before the ad campaign and after. 1) (-107.8256, -70.7324) 2) (-131.2343, -47.3237) 3) (131.2343, -47.3237) 4) (-91.5412, -87.0168) 5) (-130.6033, -47.9547)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:A restaurant wants to test a new in-store marketing scheme in a small number of
stores before rolling it out nationwide. The new ad promotes a premium drink that
they want to increase the sales of. 10 locations are chosen at random and the
number of drinks sold are recorded for 2 months before the new ad campaign and 2
months after. The average difference in the sales quantity (after - before) is -89.279
with a standard deviation of 58.6494. Calculate a 95% confidence interval to
estimate the true average difference in nationwide sales quantity before the ad
campaign and after.
1) (-107.8256, -70.7324)
2) (-131.2343, -47.3237)
3) (131.2343, -47.3237)
4) (-91.5412, -87.0168)
5) (-130.6033, -47.9547)
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