The manager of a pizza restaurant claims his employees make an average of $8.00 per hour with a standard deviation of $0.75. Jack does not believe the manager's claim, so he takes a sample of 40 employees and finds their average salary to be $7.80. Jack tests the manager's claim at α = 0.05.
Here, we have to use one sample z test for the population mean.
The null and alternative hypotheses are given as below:
Null hypothesis: H0: Employees make an average of $8.00 per hour.
Alternative hypothesis: Ha: Employees make an average different from $8.00 per hour
H0: µ = 8 versus Ha: µ ≠ 8
This is a two tailed test.
The test statistic formula is given as below:
Z = (Xbar - µ)/[σ/sqrt(n)]
From given data, we have
µ = 8
Xbar = 7.80
σ = 0.75
n = 40
α = 0.05
Critical value = -1.96 and 1.96
(by using z-table or excel)
Z = (7.80 - 8)/[0.75/sqrt(40)]
Z = -1.6865
P-value = 0.0917
(by using Z-table)
P-value > α = 0.05
So, we do not reject the null hypothesis
There is sufficient evidence to conclude that employees make an average of $8.00 per hour.
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