(c) A medical researcher is working on a new treatment for a certain type of cancer. The average survival time after diagnosis on the standard treatment is two years. In an early trial, she tries the new treatment on three subjects who have an average survival time after diagnosis of four years. Although the survival time has doubled, the results are not statistically significant even at the 0.10 significance level. The explanation is

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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(c) A medical researcher is working on a new treatment
for a certain type of cancer. The average survival time
after diagnosis on the standard treatment is two years.
In an early trial, she tries the new treatment on three
subjects who have an average survival time after
diagnosis of four years. Although the survival time has
doubled, the results are not statistically significant even
at the 0.10 significance level. The explanation is
A. the sample size is small.
B. the calculation was in error. The researchers forgot
to include the sample size.
C. that although the survival time has doubled, in
reality the actual increase is really two years.
D. the placebo effect is present, which limits
statistical significance.
Transcribed Image Text:(c) A medical researcher is working on a new treatment for a certain type of cancer. The average survival time after diagnosis on the standard treatment is two years. In an early trial, she tries the new treatment on three subjects who have an average survival time after diagnosis of four years. Although the survival time has doubled, the results are not statistically significant even at the 0.10 significance level. The explanation is A. the sample size is small. B. the calculation was in error. The researchers forgot to include the sample size. C. that although the survival time has doubled, in reality the actual increase is really two years. D. the placebo effect is present, which limits statistical significance.
(a) The Survey of Study Habits and Attitudes (SSHA) is a
psychological test that measures the motivation,
attitude, and study habits of college students. Scores
range from 0 to 200 and follow (approximately) a normal
distribution with mean 115 and standard deviation
σ
o = 25. You suspect that incoming freshman have a
mean which is different from 115 because they are
often excited yet anxious about entering college. To test
your suspicion, you test the hypotheses Ho: μ = 115,
Ha 115. You give the SSHA to 25 students who
are incoming freshman and find their mean score. Based
on this, you reject Ho at significance level a = 0.01.
Which of the following would be most helpful in
assessing the practical significance of your results?
A. Report the P-value of your test.
B. Test the hypotheses again, this time using
significance level a = 0.001.
C. Construct a 99% confidence interval for u in order
to see the magnitude of the difference between 115
and your sample results.
D. Take another sample and retest just to make sure
the results are not due to chance.
(b) In testing hypotheses, if the consequences of
rejecting the null hypothesis are very serious, we should
OA. insist that the level of significance be smaller than
the P-value.
B. insist that the P-value be smaller than the level of
significance.
C. use a very small level of significance.
D. use a very large level of significance.
Transcribed Image Text:(a) The Survey of Study Habits and Attitudes (SSHA) is a psychological test that measures the motivation, attitude, and study habits of college students. Scores range from 0 to 200 and follow (approximately) a normal distribution with mean 115 and standard deviation σ o = 25. You suspect that incoming freshman have a mean which is different from 115 because they are often excited yet anxious about entering college. To test your suspicion, you test the hypotheses Ho: μ = 115, Ha 115. You give the SSHA to 25 students who are incoming freshman and find their mean score. Based on this, you reject Ho at significance level a = 0.01. Which of the following would be most helpful in assessing the practical significance of your results? A. Report the P-value of your test. B. Test the hypotheses again, this time using significance level a = 0.001. C. Construct a 99% confidence interval for u in order to see the magnitude of the difference between 115 and your sample results. D. Take another sample and retest just to make sure the results are not due to chance. (b) In testing hypotheses, if the consequences of rejecting the null hypothesis are very serious, we should OA. insist that the level of significance be smaller than the P-value. B. insist that the P-value be smaller than the level of significance. C. use a very small level of significance. D. use a very large level of significance.
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