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Student`s

Scope Methods in PoliticalScience Problem Sets

Question1

Run for Office

No

Maybe

Yes

Total

Republican

6

1

3

10

Party ID

Independent

14

8

2

24

Democrat

27

20

10

57

Total

47

29

15

91

Number of agreements

Cell

Number of Agreements

Contribution to Na

Republican/No

6(8+2+20+10)

240

Republican/Maybe

1(2+10)

20

Republican/Yes

3(0)

0

Independent/No

14(20+10)

420

Independent/Maybe

8(10)

80

Independent/Yes

2(0)

0

Democrat/No

27(0)

0

Democrat/Maybe

20(0)

0

Democrat/Yes

10(0)

0

&nbsp

&nbsp

760

Number of inversions

Cell

Number of Inversions

Contribution to Ni

Republican/Yes

3(8+14+20+27)

69

Republican/Maybe

1(14+27)

41

Republican/No

6(0)

0

Independent/Yes

2(20+27)

94

Independent/Maybe

8(27)

216

Independent/No

14(0)

0

Democrat/Yes

10(0)

0

Democrat/Maybe

20(0)

0

Democrat/No

27(0)

0

&nbsp

&nbsp

420

Gamma(G)=

Substituting

Gamma(G)===0.29

SinceGamma=0.29 it indicates that there is a moderate positive correlationbetween the two variables which are party ID and Run for office.

Thismeans there is an association between the student partyidentification and if a student plans to run for public office.

Question2

Calculatingthe Expected values

  1. For males who said No

* 57=24.78

  1. For male who said Maybe

* 20=8.70

  1. For males who said Yes

* 15=6.52

  1. For females who said No

* 57=32.22

  1. For female who said Maybe

* 20=11.30

  1. For females who said Yes

* 15=8.48

&nbsp

Gender

&nbsp

Male

Female

Total

Observed (O)

Expected (E)

Observed (O)

Expected (E)

&nbsp

Ban laptops

No

28

24.78

29

32.22

57

Maybe

7

8.70

13

11.30

20

Yes

5

6.52

10

8.48

15

Total

40

&nbsp

52

&nbsp

92

=∑= + + +

1.96

Degreesof freedom

=(3-1) * (2-1) =2

Criticalchi square value=5.991

Thecalculated value of 1.96 is less than the critical value of 5.991 at0.05 significance level. Therefore, the study fails to reject thenull hypothesis and conclude that there is no association betweenGender and Ban laptops variables.1.96,p&gt0.05.

Thismeans that there is an association between the gender of a studentand the student’s attitudes towards professors banning laptopcomputers in class.

Question3

The hypothesis is two tailedand the critical values for the correlation coefficient are 0.088 and0.099 at 0.05 level of significance. The correlation coefficient of0.591 does not fall within the critical values. This indicates thatthe correlation coefficient is significant.

The study can thereforeconclude that the percentage of the congressional district that isAfrican American and the percentage of the district that voted forBill Clinton in the 1996 presidential election have a statisticallysignificant strong positive relationship. This implies that if thepercentage of the congressional district that is African-Americanincreases the percentage of the districts that voted for BillClinton in the 1996 presidential election will also increase.