Use the information below for the next set of questions.
In the following study, a single sample's mean is being compared to a population with a known mean but an unknown variance. Decide whether the result is significant.
Sample size (N)=16
Population mean (μ)= 100.31
Estimated Population Standard Deviation (S)= 2.00
Sample Mean (M)=100.98
Tails= 1 (high predicted)
Significance level (α)=.05
1. What is the null hypothesis for this test?
A. The mean for the first population (the population from which the sample is taken) is the same as, or greater than, the mean for the second (known) population. |
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B. The mean for the first population (the population from which the sample is taken) is different than the mean for the second (known) population |
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C. The mean for the first population (the population from which the sample is taken) is the same as, or less than, the mean for the second (known) population. |
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D. The mean for the first population (the population from which the sample is taken) is the same as the mean for the second (known) population. |
2. What is the research hypothesis for this test?
A. The mean for the first population (the population from which the sample is taken) is greater than the mean for the second (known) population. |
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B. The mean for the first population (the population from which the sample is taken) is different than the mean for the second (known) population. |
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C. The mean for the first population (the population from which the sample is taken) is the same as, or greater than, the mean for the second (known) population. |
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D. The mean for the first population (the population from which the sample is taken) is less than the mean for the second (known) population. |
3. Determine the cutoff sample score(s).
The cutoff sample score(s) is(are) ______.
4. Determine the t score.
(write you answer to two decimal places).
t = _____.
5. Decide whether the result is significant. Choose the correct answer below.
A. The result is not significant because the t score is more extreme than the cutoff sample score. |
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B. The result is significant because the t score is less extreme than the cutoff sample score. |
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C. The result is significant because the t score is more extreme than the cutoff sample score. |
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D. The result is not significant because the t score is less extreme than the cutoff sample score. |
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