In: Statistics and Probability
A prospective employee was told she could average more than $80 a day in tips. Assume the standard deviation of the population is $3.24. Over the first 35 days the employee worked the mean daily amount of her tips was $84.85. At the .01 significance level what will be the value of the critical value if we are testing to see if the true average daily amount of tips is greater than $80?
Solution :
Given that,
Population mean =
= 80
Sample mean =
= 84.35
Population standard deviation =
= 3.24
Sample size = n = 35
Level of significance =
= 0.01
This a right (One) tailed test.
The null and alternative hypothesis is,
Ho:
80
Ha:
80
The test statistics,
Z =(
-
)/ (
/
n)
= ( 84.35 - 80 ) / ( 3.24 /
35 )
= 7.94
Critical value of the significance level is α = 0.01, and the critical value for a right-tailed test is
= 2.33
Since it is observed that z = 7.94 >
= 2.33 , it is then concluded that the null hypothesis is
rejected.
P-value = P(Z > z )
= 1 - P( Z < 7.94 )
= 1 - 1
= 0.000
The p-value is p = 0, and since p = 0 < 0.01, it is concluded that the null hypothesis is rejected.
Conclusion :
It is concluded that the null hypothesis Ho is rejected. Therefore, there is enough evidence to claim that the true average daily amount of tips is greater than $80, at the 0.01 significance level.