The average height of students in a freshman class of a certain school has been 158.55 cm with a population standard deviation of 8.8 cm. Is there a reason to believe that there has been a change in the average height if a random sample of 51 students in the present freshman class has an average height of 154.25 cm? Use a 0.1 level of significance.
What are the given? Write only the number. :
population mean:Blank 1 cm
population standard deviation:Blank 2 cm
sample size:Blank 3
sample mean:Blank 4 cm
level of significance:Blank 5
What are the critical values? Write the positive critical value first then the negative.
z:Blank 6 andBlank 7
What is the value of the calculated z? Round your answer to the nearest hundredths.
z:Blank 8
population mean: "158.55" cm
population standard deviation: "8.8" cm
sample size:"51"
sample mean: "154.25" cm
level of significance: "0.1"
What is the critical value?
"z_{c1}=-1.6449, z_{c2}=1.6449"
What is the value of the calculated z?
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=158.55"
"H_1:\\mu\\not=158.55"
This corresponds to a two-tailed test, for which a z-test for one mean, with known population standard deviation will be used.
Since it is observed that "z=-3.49<-1.6449= z_{c1}," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value is "p=2P(z<-3.49)=0.000483," and since "p=0.000483<0.1=\\alpha," it is concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu"
is different than 158.55, at the "\\alpha = 0.1" significance level.
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