Suppose the Federal Aviation Administration (FAA) would like tocompare the on-time performances of different airlines on domestic,nonstop flights. To determine if Airline and Status are dependent,what are the appropriate hypotheses?

A)H_O: Airline and Status are independent of eachother.
H_A: Airline and Status display a positivecorrelation.

B)Two of the other options are both correct.

C)H_O: Airline and Status are independent of eachother.
H_A: Airline and Status are dependent on one another.

D)H_O: Airline and Status are not related to eachother.
H_A: Airline and Status display a negativecorrelation.

E)H_O: Airline and Status are related to oneanother.
H_A: Airline and Status are independent of oneanother.

2.A political poll asked potential voters if they felt theeconomy was going to get worse, stay the same, or get better duringthe next 12 months. The party affiliations of the respondents werealso noted. To determine if Party Affiliation and Response aredependent, what are the appropriate hypotheses?

A)There is not enough information to choose the correct set ofhypotheses.

B)H_O: Party Affiliation and Response are not relatedto one another.
H_A: Party Affiliation and Response display a negativecorrelation.

C)H_O: Party Affiliation and Response are independentof each other.
H_A: Party Affiliation and Response display a positivecorrelation.

D)H_O: Party Affiliation and Response are not relatedto each other.
H_A: Party Affiliation and Response are dependent on eachother.

E)H_O: Party Affiliation and Response are associatedwith one another.
H_A: Party Affiliation and Response are not related toeach other

3. Consider the first and second exam scores of the 10 studentslisted below. Calculate the Pearson's correlation coefficient forthe dataset below and interpret what that means.

exam 1	exam 2
24	37
22	35
21	42
22	40
21	41
23	37
23	30
23	37
21	48
25	30

A)The correlation is -0.774 . There is a strong negative linearassociation between Exam 1 and Exam 2

B) The correlation is -0.774 . There is a weak negative linearassociation between Exam 1 and Exam 2 .

C)The correlation is 0.774 . There is a strong positive linearassociation between Exam 1 and Exam 2 .

D)The correlation is -0.774 . There is a strong positive linearassociation between Exam 1 and Exam 2 .

E)The correlation is 0.774 . There is a strong negative linearassociation between Exam 1 and Exam 2 .

4. Consider the first and second exam scores of the 10 studentslisted below. Calculate the Pearson's correlation coefficient forthe dataset below and interpret what that means.

exam 1	exam 2
23	29
29	24
19	19
17	27
24	22
10	20
29	28
20	18
25	18
16	29

A)The correlation is 0.147 . There is a weak negative linearassociation between Exam 1 and Exam 2 .

B)The correlation is -0.147 . There is a weak positive linearassociation between Exam 1 and Exam 2

C)The correlation is 0.147 . There is a strong positive linearassociation between Exam 1 and Exam 2

D)The correlation is -0.147 . There is a weak negative linearassociation between Exam 1 and Exam 2

E)

The correlation is 0.147 . There is a weak positive linearassociation between Exam 1 and Exam 2 .