Consider the following hypothesis test: H_0: µ <= 50 H_a: µ > 50
A sample of size 60 provided a sample mean of 51.8. The population standard deviation is 8.
a) Compute the value of the test statistic, rounding all calculations to 2 decimal places.
b) What is the associated p-value?
c) Using α = 0.05, what is your conclusion? Enter either "reject" or "fail to reject" without the quotes for what to do with the null hypothesis.
Here, we have to use one sample z test for the population mean.
The null and alternative hypotheses are given as below:
H0: µ = 50 versus Ha: µ > 50
This is an upper tailed test.
a) Compute the value of the test statistic.
The test statistic formula is given as below:
Z = (Xbar - µ)/[σ/sqrt(n)]
From given data, we have
µ = 50
Xbar = 51.8
σ = 8
n = 60
α = 0.05
Critical value = 1.6449
(by using z-table or excel)
Z = (51.8 - 50)/[8/sqrt(60)]
Z = 1.7428
Test statistic = 1.74
b) What is the associated p-value?
P-value = 0.0407
(by using Z-table)
c) Using α = 0.05, what is your conclusion?
P-value < α = 0.05
So, we reject the null hypothesis
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