Sales at a fast-food restaurant average $6,000 per day. The restaurant decided to introduce an advertising campaign to increase daily sales. In order to determine the effectiveness of the advertising campaign, a sample of 49 day's sales were taken. The sample showed average daily sales of $6,300. From past history, the restaurant knew that its population standard deviation is about $1,000. If the level of significance is 0.05, have sales increased as a result of the advertising campaign? |
a) Fail to reject the null hypothesis. |
b) Reject the null hypothesis and conclude the mean is higher than $6,000 per day. |
c) Reject the null hypothesis and conclude the mean is lower than $6,000 per day. |
d) Reject the null hypothesis and conclude that the mean is equal to $6,000 per day. |
Here, we have to use one sample z test for the population mean.
The null and alternative hypotheses are given as below:
H0: µ = 6000 versus Ha: µ > 6000
The test statistic formula is given as below:
Z = (Xbar - µ)/[σ/sqrt(n)]
From given data, we have
µ = 6000
Xbar = 6300
σ = 1000
n = 49
α = 0.05
Critical value = 1.6449
(by using z-table or excel)
Z = (6300 - 6000)/[1000/sqrt(49)]
Z = 2.1000
P-value = 0.0179
(by using Z-table)
P-value < α = 0.05
So, we reject the null hypothesis
b) Reject the null hypothesis and conclude that the mean is higher than $6,000 per day.
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