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Practice Final Exam MCQs with Correct Answers.
Typology: Exams
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Part A. Multiple Choice Questions. For each question, you are encouraged to give a reason or show work for partial credit. You must show your work or reason if the question is marked with an asterisk (*).
Answer: The t critical value for 90% CI for df = 24 is 1.711. So margin_or_error = (1.711) โ
n = 5 ๐ฅ๐ฅฬ = 3.871 s = 0.
The null hypothesis is ฮผ = 5.0 is a. accepted at the 5% level; accepted at the 1% level. b. accepted at the 5% level; rejected at the 1% level. c. rejected at the 5% level; accepted at the 1% level. ๏ง d. rejected at the 5% level; rejected at the 1% level.
โ๐๐
โ
Assuming a two-sided test, for df = 4,
Answer: ๐๐ฬ = 12219 = 0.156. margin_of_error = (1.96)^ โ ๏ฟฝ(^0.^156122 )โ(^0.^844 )= (1.96)^ โ (0.033) = 0.0647. So the 95% CI is [0.156 โ 0.0647, 0.156 + 0.0647], which yields [0.0913, 0.2207].
Answer: If the alternative hypothesis was Ha: ฮผ 1 - ฮผ 2 < 0, we can reject the null hypothesis at alpha = 0.05 level because the p-value would be between 0.025 and 0.05.
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Part C. Problems
116 111 101 120 99 94 106 115 107 101 110 92
Test using the following hypotheses, report the test statistic with the P-value, then summarize your conclusion.
H0: ฮผ = 100 Ha: ฮผ > 100
Answer:
Hypotheses:
H0: ฮผ = 100 (no effect -- eating fish does not help increase the mean IQ) Ha: ฮผ > 100 (effect -- eating fish helps increase the mean IQ)
Test statistic:
From the data, we obtain ๐๐๏ฟฝ = ๐๐๐๐๐๐ and ๐ฌ๐ฌ๐๐ = ๐๐. ๐๐๐๐. Then we get
๐๐ =
๐๐๏ฟฝ โ ๐๐๐๐ ๐๐๐๐ โ๐๐
=
๐๐๐๐๐๐ โ ๐๐๐๐๐๐ ๐๐. ๐๐๐๐ โ๐๐๐๐
=
๐๐ ๐๐. ๐๐๐๐ =^ ๐๐.^ ๐๐๐๐.
P-value:
Because n = 12, we use the t distribution with df = 11 to find the probability. According to Table D, for t = 2.35 for df = 11, the probability is between 0.01 and 0.02. Since this is a one-sided (upper-tail) test, P-value is between 0.01 and 0..
Conclusion:
Since values between 0.01 and 0.02 are < 0.05, we reject the null hypothesis at the significance level 0.05 , and conclude that the fish oil supplement did make a significant increase in the mean IQ.
Person 1 2 3 4 mean _ s.d. Weight before 180 125 240 150 173.75 49. Weight after 170 130 215 152 166.75 36. Difference 10 -5 25 -2 7 13.
Conduct a one-sample t-test using the difference with the following hypotheses:
H0: Diff = 0 Ha: Diff โ 0
Report the test statistic with the P-value, then summarize your conclusion.
Answer:
Hypotheses:
H0: Diff = 0 (no difference -- there is no difference in the mean of the weight difference) Ha: Diff โ 0 (difference โ diet made difference in the mean of the weight difference)
Test statistic:
From the data, we know ๐ซ๐ซ๐ซ๐ซ๐ซ๐ซ๐ซ๐ซ๏ฟฝ๏ฟฝ๏ฟฝ๏ฟฝ๏ฟฝ๏ฟฝ๏ฟฝ^ = ๐๐ and ๐ฌ๐ฌ๐ซ๐ซ๐ซ๐ซ๐ซ๐ซ๐ซ๐ซ = ๐๐๐๐. ๐๐๐๐. Then we get
๐๐ = ๐ซ๐ซ๐ซ๐ซ๐ซ๐ซ๐ซ๐ซ
๏ฟฝ๏ฟฝ๏ฟฝ๏ฟฝ๏ฟฝ๏ฟฝ๏ฟฝ โ ๐๐๐๐ ๐๐๐ซ๐ซ๐ซ๐ซ๐ซ๐ซ๐ซ๐ซ โ๐๐
= (^) ๐๐๐๐ โ๐๐. ๐๐^ ๐๐๐๐ โ๐๐
= (^) ๐๐.๐๐ ๐๐๐๐ = ๐๐. ๐๐๐๐๐๐.
P-value:
Because n = 4, we use the t distribution with df = 3 to find the probability. According to Table D, for t = 1.026 for df = 3, the probability is between 0.15 and 0.20. Since this is a two-sided test, P-value is between 0.30 and 0..
Conclusion:
Since values between 0.30 and 0.40 are > 0.05, we fail to reject the null hypothesis at the 0.05 significance level. We do not have enough evidence to conclude that the water diet has an impact on the weight.