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I am trying to learn how to do this type of problem. Your help will be greatly appreciated! Table2.1ThePopulation:Datafor20individuals (Hypothetical Data) ID# Gender Age Sentence

I am trying to learn how to do this type of problem. Your help will be greatly appreciated!

Table2.1ThePopulation:Datafor20individuals (Hypothetical Data)

ID#

Gender

Age

Sentence

(Months)

Numberof

Siblings

Felon

Race/Ethnicity

1

Male

22

200

4

Yes

Other

2

Female

25

134

2

Yes

AfricanAmerican

3

Female

19

136

1

Yes

Asian

4

Male

30

197

0

No

AfricanAmerican

5

Female

23

124

1

Yes

Latino

6

Female

24

113

1

No

White

7

Female

26

153

6

Yes

Latino

8

Female

32

164

3

Yes

Other

9

Female

26

124

2

No

AfricanAmerican

10

Female

21

127

4

No

AfricanAmerican

11

Female

28

213

4

Yes

Asian

12

Male

24

178

0

Yes

White

13

Male

23

208

1

No

Other

14

Female

24

146

2

Yes

White

15

Male

26

226

0

Yes

Asian

16

Female

21

128

1

No

Latino

17

Female

19

116

3

Yes

White

18

Male

20

189

3

Yes

AfricanAmerican

19

Male

24

167

2

Yes

White

20

Female

23

197

0

Yes

Latino

  1. Constructabivariatetableandconductchi-squareanalysistoexaminetofollowing relationships:

  1. GenderandFelon
    1. StatetheResearchandNullHypothesisandSelectAlpha.
      • (nullorresearch)hypothesis=Thereisnoassociation between the two variables in the population.
      • (nullorresearch)hypothesis=Thetwovariablesare related in the population.
      • Alpha is set at .
        1. .06
        2. .95
        3. .05
        4. 100

Table2.3FelonbyGender

Felon

Gender

Total

Male

Female

Yes

( %)

( %)

%

No

( %)

( %)

%

Total

% % %

(N)

=

()()

Table2.4ExpectedFrequenciesofFelonandGender

Felon

Gender

Total

Male

Female

Yes

%

No

%

Total

100%

100%

100%

(N)

Table1.3.ExpectedFrequenciesofFelonandGender

Felon

Males

Females

Total

Yes

No

Total(N)

2=

()2

Table1.4.CalculatingChi-Square

Felon

()2

()2

Males/Felon

Males/NoFelon

Females/Felon

Females/NoFelon

2

2=()=

  1. DeterminingtheDegreesofFreedom.
    • =(1)(1)

  1. MakingaFinalDecision(AppendixB.4p.536) Obtained Chi-Square Statistic =

Since our obtained chi-square of is (greateror less) than our critical chi-square of and (doesor does not) fall into the critical region, we must (rejector fail to reject) the null hypothesis that there is no associationbetweenthetwovariablesinthepopulation(orgenderandcriminalstatusfelon arestatistically independent).

Conclusion:

Our conclusion, therefore, is that gender and criminal status (i.e., felon) are (dependent or independent); that is, there is (arelationshipor norelationship) between them in the population.

Remember:The largerthechi-statistic,thesmallerthepvalueprovidinguswithmoreevidence to reject the null hypothesis.

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