(1 point) A report says that 82% of British Columbians over the age of 25 are high school graduates. A survey of randomly selected British Columbians included 1290 who were over the age of 25, and 1135 of them were high school graduates. Does the cityâs survey result provide sufficient evidence to contradict the reported value, 82%?
Part i) What is the parameter of
interest?
A. Whether a British Columbian is a high school
graduate.
B. The proportion of 1290 British Columbians (aged
above 25) who are high school graduates.
C. All British Columbians aged above 25.
D. The proportion of all British Columbians (aged
above 25) who are high school graduates.
Part ii) Let pp be the population
proportion of British Columbians aged above 25 who are high school
graduates. What are the null and alternative hypotheses?
A. Null: p=0.82p=0.82 . Alternative:
p>0.82p>0.82 .
B. Null: p=0.82p=0.82 . Alternative:
p=0.88p=0.88 .
C. Null: p=0.88p=0.88 . Alternative:
p≠0.88p≠0.88 .
D. Null: p=0.88p=0.88 . Alternative:
p>0.88p>0.88 .
E. Null: p=0.88p=0.88 . Alternative:
p≠0.82p≠0.82 .
F. Null: p=0.82p=0.82 . Alternative:
p≠0.82p≠0.82 .
Part iii) The PP -value is less than
0.0001. Using all the information available to you, which of the
following is/are correct? (check all that apply)
A. The observed proportion of British Columbians
who are high school graduates is unusually low if the reported
value 82% is incorrect.
B. The observed proportion of British Columbians
who are high school graduates is unusually high if the reported
value 82% is correct.
C. Assuming the reported value 82% is correct, it
is nearly impossible that in a random sample of 1290 British
Columbians aged above 25, 1135 or more are high school
graduates.
D. Assuming the reported value 82% is incorrect,
it is nearly impossible that in a random sample of 1290 British
Columbians aged above 25, 1135 or more are high school
graduates.
E. The reported value 82% must be false.
F. The observed proportion of British Columbians
who are high school graduates is unusually low if the reported
value 82% is correct.
G. The observed proportion of British Columbians
who are high school graduates is unusually high if the reported
value 82% is incorrect.
Part iv) What is an appropriate conclusion for
the hypothesis test at the 5% significance level?
A. There is sufficient evidence to contradict the
reported value 82%.
B. There is insufficient evidence to contradict
the reported value 82%.
C. There is a 5% probability that the reported
value 82% is true.
D. Both A. and C.
E. Both B. and C.
Part v) Which of the following scenarios
describe the Type II error of the test?
A. The data suggest that reported value is
incorrect when in fact the value is correct.
B. The data suggest that reported value is
incorrect when in fact the value is incorrect.
C. The data suggest that reported value is correct
when in fact the value is correct.
D. The data suggest that reported value is correct
when in fact the value is incorrect.
Part vi) Based on the result of the hypothesis
test, which of the following types of errors are we in a position
of committing?
A. Type I error only.
B. Neither Type I nor Type II errors.
C. Type II error only.
D. Both Type I and Type II errors.
Part i) What is the parameter of interest?
Answer : The proportion of all British Columbians (aged above 25) who are high school graduates. Option D is correct here.
Part ii) Let pp be the population proportion of British Columbians aged above 25 who are high school graduates. What are the null and alternative hypotheses?
Answer : F. Null: p=0.82p=0.82 . Alternative: p≠0.82p≠0.82 .
Option F is correct here
Part iii) The PP -value is less than 0.0001. Using all the information available to you, which of the following is/are correct?
Answer : Assuming the reported value 82% is correct, it is nearly impossible that in a random sample of 1290 British Columbians aged above 25, 1135 or more are high school graduates. Option C is correct. Option C is correct.
The observed proportion of British Columbians who are high school graduates is unusually low if the reported value 82% is correct. Option F is correct.
Part iv) What is an appropriate conclusion for the hypothesis test at the 5% significance level?
Answer : There is sufficient evidence to contradict the reported value 82%. Option A is correct.
Part v) Which of the following scenarios describe the Type II error of the test?
Answer : The data suggest that reported value is correct when in fact the value is incorrect. Option D is correct.
Part vi) Based on the result of the hypothesis test, which of the following types of errors are we in a position of committing?
Answer : Type I error only. Option A is correct. As here we are rejecting the null hypothesis.
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