STAT 217 ACTUAL UPDATED Questions
and CORRECT Answers
Terms in this set (33)
B. The proportion of students who would read the paper Specify what Type II error (missed opportunity) represents in this situation. A Type
is more than 0.10, but we do NOT find strong evidence II error happens when you fail to reject the null hypothesis, but the null hypothesis
that it is more than 0.10. was false.
A. The proportion of students who would read the paper is 0.10, but we decide it
is more than 0.10.
B. The proportion of students who would read the paper is more than 0.10, but we
do NOT find strong evidence that it is more than 0.10.
A. The proportion of students who would read the paper Specify what Type I error (false alarm) represents in this situation. A Type I error
is 0.10, but we decide it is more than 0.10. happens when we reject the null hypothesis, but the null hypothesis was true.
A. The proportion of students who would read the paper is 0.10, but we decide it
is more than 0.10.
B. The proportion of students who would read the paper is more than 0.10, but we
do NOT find strong evidence that it is more than 0.10.
b. The patient does not have the disease, but the test says Describe what Type I error (false alarm) represents in this situation.
the patient has the disease
a. The patient had the disease, but the test says the patient is healthy.
b. The patient does not have the disease, but the test says the patient has the
disease
b. The patient has the disease, but the test says the Describe what Type II error (missed opportunity) represents in this situation.
patient is healthy.
a. The patient does not have the disease, but the test says the patient has the
disease.
b. The patient has the disease, but the test says the patient is healthy.
, b. Type II error What type of error would you consider to be more serious (i.e. could lead to a
more disastrous outcome)?
a. Type I error
b. Type II error
b. be in the 95% confidence interval When we say that 0.50 is a plausible value for a population proportion
(parameter), plausible means 0.50 will ______ _.
a. not be in the 95% confidence interval
b. be in the 95% confidence interval
b. A 99% confidence interval constructed from the same Suppose a 95% confidence interval is constructed from a sample proportion and
sample proportion will definitely contain 0.50. 0.50 is contained in the interval. Which of the following are true?
a. A 99% confidence interval constructed from the same sample proportion will
definitely NOT contain 0.50.
b. A 99% confidence interval constructed from the same sample proportion will
definitely contain 0.50.
c. A 90% confidence interval constructed from the same sample proportion will
definitely NOT contain 0.50.
d. A 90% confidence interval constructed from the same sample proportion will
definitely contain 0.50.
a. Wider, because to be more confident we need to What proportion of San Luis Obispo (SLO) residents dine at restaurants at least
widen the interval. once a week? To investigate, a local high school student, Deidre, decides to
conduct a survey. She selects a random sample of adult residents of SLO, asks
each participant whether he/she dines at restaurants at least once a week, and
records their responses. Then, she uses her data to find a 95% confidence interval
for the proportion of SLO adults who dine out at least once a week to be (0.38,
0.44).
The 99% confidence interval based on the same data would be:
a. Wider, because to be more confident we need to widen the interval.
b. We need more information to answer this.
c. Narrower, because the more confident we are the narrower the interval.
b. There is convincing evidence that less than half of SLO According to the 95% confidence interval:
residents dine at restaurants at least once a week,
because the interval does not contain 0.50. a. There is not convincing evidence that less than half of SLO residents dine at
restaurants at least once a week, because the interval does not contain 0.50.
b. There is convincing evidence that less than half of SLO residents dine at
restaurants at least once a week, because the interval does not contain 0.50.
c. Neither of the other choices is correct.
and CORRECT Answers
Terms in this set (33)
B. The proportion of students who would read the paper Specify what Type II error (missed opportunity) represents in this situation. A Type
is more than 0.10, but we do NOT find strong evidence II error happens when you fail to reject the null hypothesis, but the null hypothesis
that it is more than 0.10. was false.
A. The proportion of students who would read the paper is 0.10, but we decide it
is more than 0.10.
B. The proportion of students who would read the paper is more than 0.10, but we
do NOT find strong evidence that it is more than 0.10.
A. The proportion of students who would read the paper Specify what Type I error (false alarm) represents in this situation. A Type I error
is 0.10, but we decide it is more than 0.10. happens when we reject the null hypothesis, but the null hypothesis was true.
A. The proportion of students who would read the paper is 0.10, but we decide it
is more than 0.10.
B. The proportion of students who would read the paper is more than 0.10, but we
do NOT find strong evidence that it is more than 0.10.
b. The patient does not have the disease, but the test says Describe what Type I error (false alarm) represents in this situation.
the patient has the disease
a. The patient had the disease, but the test says the patient is healthy.
b. The patient does not have the disease, but the test says the patient has the
disease
b. The patient has the disease, but the test says the Describe what Type II error (missed opportunity) represents in this situation.
patient is healthy.
a. The patient does not have the disease, but the test says the patient has the
disease.
b. The patient has the disease, but the test says the patient is healthy.
, b. Type II error What type of error would you consider to be more serious (i.e. could lead to a
more disastrous outcome)?
a. Type I error
b. Type II error
b. be in the 95% confidence interval When we say that 0.50 is a plausible value for a population proportion
(parameter), plausible means 0.50 will ______ _.
a. not be in the 95% confidence interval
b. be in the 95% confidence interval
b. A 99% confidence interval constructed from the same Suppose a 95% confidence interval is constructed from a sample proportion and
sample proportion will definitely contain 0.50. 0.50 is contained in the interval. Which of the following are true?
a. A 99% confidence interval constructed from the same sample proportion will
definitely NOT contain 0.50.
b. A 99% confidence interval constructed from the same sample proportion will
definitely contain 0.50.
c. A 90% confidence interval constructed from the same sample proportion will
definitely NOT contain 0.50.
d. A 90% confidence interval constructed from the same sample proportion will
definitely contain 0.50.
a. Wider, because to be more confident we need to What proportion of San Luis Obispo (SLO) residents dine at restaurants at least
widen the interval. once a week? To investigate, a local high school student, Deidre, decides to
conduct a survey. She selects a random sample of adult residents of SLO, asks
each participant whether he/she dines at restaurants at least once a week, and
records their responses. Then, she uses her data to find a 95% confidence interval
for the proportion of SLO adults who dine out at least once a week to be (0.38,
0.44).
The 99% confidence interval based on the same data would be:
a. Wider, because to be more confident we need to widen the interval.
b. We need more information to answer this.
c. Narrower, because the more confident we are the narrower the interval.
b. There is convincing evidence that less than half of SLO According to the 95% confidence interval:
residents dine at restaurants at least once a week,
because the interval does not contain 0.50. a. There is not convincing evidence that less than half of SLO residents dine at
restaurants at least once a week, because the interval does not contain 0.50.
b. There is convincing evidence that less than half of SLO residents dine at
restaurants at least once a week, because the interval does not contain 0.50.
c. Neither of the other choices is correct.
