A sample of 50 observations results in a sample mean of 221
A sample of 50 observations results in a sample mean of 221. the population standard deviation is known to be 47.b. Does the above sample evidence enable to conclude that the population mean is greater than 200 with a 5% significance level? conduct the test based on the critical value appoach. c. Does the above sample evidence enable to conclude that the population mean is greater than 200 with a 5% significance level? Conduct the test based on the p-value approach. d. Does the above sample evidence enable to conclude that the population mean is greater than 200 with a 10% significance level? Conduct the test based on the p-value approach. e. Does the above sample evidence enable to conclude that the population mean is different from 200 with a 5% significance level? Conduct the test based on the p-value approach.
Solution
b)
Formulating the null and alternative hypotheses,
Ho: u <= 200
Ha: u > 200
As we can see, this is a right tailed test.
Thus, getting the critical z, as alpha = 0.05 ,
alpha = 0.05
zcrit = + 1.644853627
Getting the test statistic, as
X = sample mean = 221
uo = hypothesized mean = 200
n = sample size = 50
s = standard deviation = 47
Thus, z = (X - uo) * sqrt(n) / s = 3.159413278
As |z| > 1.6449, then we REJECT THE NULL HYPOTHESIS.
Thus, there is sufficient evidence to enable us to conclude that the population mean is greater than 200 with a 5% significance level. [CONCLUSION]
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c)
Also, the p value is
p = 0.000790436
As P < 0.05, WE REJECT HO.
Thus, there is sufficient evidence to enable us to conclude that the population mean is greater than 200 with a 5% significance level. [CONCLUSION]
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D)
As P < 0.10, WE REJECT HO.
Thus, there is sufficient evidence to enable us to conclude that the population mean is greater than 200 with a 10% significance level. [CONCLUSION]
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e)
As
p = 0.000790436*2 = 0.001580872 < 0.05, we reject Ho.
Thus, there is sufficient evidence to enable us to conclude that the population mean is different from 200 with a 5% significance level. [CONCLUSION]

