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3 Dec 2023
You want to test the claim that, on average, it takes more than 6060 minutes for the caffeine in a cup of coffee to take effect on the body. So you take a random sample of 25 people and record the time, in minutes, that it takes for the amount of caffeine in a cup of coffee to have a physiological effect on each person. Does the sample provide sufficient evidence to support your claim at the 0.01 level of significance? (You have good reason to believe that, for a substance like caffeine, the population standard deviation is approximately 6 minutes.)
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- What are the null and alternative hypotheses?
H0�0:
Select an answer
n
s
μ
x̄
σ
Correct
?
≠
>
=
≤
<
≥
Correct Correct
Ha��:
Select an answer
x̄
s
μ
n
σ
Correct
?
≥
<
≠
≤
=
>
Correct Correct
- What type of tailed test should we run?
Select an answer
left-tailed
right-tailed
two-tailed
Correct
- What type of test should we run in terms of the distribution?
Select an answer
F-test
p-test
t-test
z-test
Correct
- Enter in your critical value(s) rounded to four decimal places. If there is more than one critical value, enter them separated by a comma.
Correct2.3263
- The rejection region consists of all
Select an answer
z-values
p-values
F-values
t-values
that are
Select an answer
less than or equal to
greater than or equal to
outside of
. (If you chose the outside of option, enter in the two values separated by a comma.)
- The sample mean ¯x=�¯= minutes. (rounded to four decimal places)
The test statistic is . (rounded to four decimal places)
- The correct decision is to
Select an answer
Fail to reject the null hypothesis H_0.
Reject the null hypothesis H_0.
.
- At the given significance level, the correct conclusion is:
- At the 0.010.01 significance level, the sample data does not provide sufficient evidence to support the claim that on average, at the population level, it takes more than 6060 minutes for the caffeine in a cup of coffee to take effect on the body.
- At the 0.010.01 significance level, the sample data provides sufficient evidence to support the claim that on average, at the population level, it takes more than 6060 minutes for the caffeine in a cup of coffee to take effect on the body.
- Given your decision above, you run the risk of having made a
Select an answer
Type II error
Type I error
.
You want to test the claim that, on average, it takes more than 6060 minutes for the caffeine in a cup of coffee to take effect on the body. So you take a random sample of 25 people and record the time, in minutes, that it takes for the amount of caffeine in a cup of coffee to have a physiological effect on each person. Does the sample provide sufficient evidence to support your claim at the 0.01 level of significance? (You have good reason to believe that, for a substance like caffeine, the population standard deviation is approximately 6 minutes.)
Download CSV
- What are the null and alternative hypotheses?
H0�0: Select an answer n s μ x̄ σ Correct ? ≠ > = ≤ < ≥ Correct Correct
Ha��: Select an answer x̄ s μ n σ Correct ? ≥ < ≠ ≤ = > Correct Correct
- What type of tailed test should we run?
Select an answer
left-tailed
right-tailed
two-tailed
Correct
- What type of test should we run in terms of the distribution?
Select an answer
F-test
p-test
t-test
z-test
Correct
- Enter in your critical value(s) rounded to four decimal places. If there is more than one critical value, enter them separated by a comma.
Correct2.3263
- The rejection region consists of all
Select an answer
z-values
p-values
F-values
t-values
that are
Select an answer
less than or equal to
greater than or equal to
outside of
. (If you chose the outside of option, enter in the two values separated by a comma.)
- The sample mean ¯x=�¯= minutes. (rounded to four decimal places)
The test statistic is . (rounded to four decimal places)
- The correct decision is to
Select an answer
Fail to reject the null hypothesis H_0.
Reject the null hypothesis H_0.
.
- At the given significance level, the correct conclusion is:
- At the 0.010.01 significance level, the sample data does not provide sufficient evidence to support the claim that on average, at the population level, it takes more than 6060 minutes for the caffeine in a cup of coffee to take effect on the body.
- At the 0.010.01 significance level, the sample data provides sufficient evidence to support the claim that on average, at the population level, it takes more than 6060 minutes for the caffeine in a cup of coffee to take effect on the body.
- Given your decision above, you run the risk of having made a Select an answer Type II error Type I error .
17 Dec 2023
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3 Dec 2023
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