In: Statistics and Probability
In order to conduct a hypothesis test for the population mean, a random sample of 24 observations is drawn from a normally distributed population. The resulting sample mean and sample standard deviation are calculated as 13.9 and 1.6, respectively. (You may find it useful to reference the appropriate table: z table or t table).
H0: μ ≤ 13.0 against HA: μ > 13.0
a-1. Calculate the value of the test statistic.
(Round all intermediate calculations to at least 4 decimal
places and final answer to 3 decimal places.)
a-2. Find the p-value.
p-value < 0.01
a-3. At the 1% significance level, what is the conclusion?
Reject H0 since the p-value is less than significance level.
Reject H0 since the p-value is greater than significance level.
Do not reject H0 since the p-value is less than significance level.
Do not reject H0 since the p-value is greater than significance level.
a-4. Interpret the results at αα = 0.01.
We conclude that the population mean is greater than 13.
We cannot conclude that the population mean is greater than 13.
We conclude that the population mean differs from 13.
We cannot conclude that the population mean differs from 13..
H0: μ = 13.0 against HA: μ ≠ 13.0
b-1. Calculate the value of the test statistic. (Round all intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.)
b-2. Find the p-value.
p-value < 0.01
b-3. At the 1% significance level, what is the conclusion?
Reject H0 since the p-value is less than significance level.
Reject H0 since the p-value is greater than significance level.
Do not reject H0 since the p-value is less than significance level.
Do not reject H0 since the p-value is greater than significance level.
b-4. Interpret the results at αα = 0.01.
We conclude that the population mean is greater than 13.
We cannot conclude that the population mean is greater than 13.
We conclude that the population mean differs from 13.
We cannot conclude that the population mean differs from 13.
a1)
Test statistic,
t = (xbar - mu)/(s/sqrt(n))
t = (13.9 - 13)/(1.6/sqrt(24))
t = 2.756
a2)
P-value Approach
P-value = 0.0056
p-value < 0.01
As P-value < 0.01, reject the null hypothesis.
a3)
Reject H0 since the p-value is less than significance level
a4)
We conclude that the population mean is greater than 13.
b1)
Test statistic,
t = (xbar - mu)/(s/sqrt(n))
t = (13.9 - 13)/(1.6/sqrt(24))
t = 2.756
b2)
P-value = 0.0112
0.01< p-value < 0.025
As P-value >= 0.01, fail to reject null hypothesis.
b3)
Do not reject H0 since the p-value is greater than significance level.
b4)
We cannot conclude that the population mean differs from 13.