Analyzing Statistic Word Problems Data Analysis Chapter

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Statistic Word Problems

Null Hypothesis: H0 = Online gambling is more prevalent among individuals who are under the age of 30.

Alternative Hypothesis: Online gambling is not more prevalent among individuals who are under the age of 30.

Alpha is set at

Collect Data

Online Gambling

Public Gambling

Calculate Test Statistic

F-Test Two-Sample for Variances

Online Gambling

Public Gambling

Mean

Variance

Observations

df

F

P (F<=f) one-tail

F Critical one-tail

Acceptance Zones

Accept

Reject

Do not reject Null Hypothesis (Lehmann and Romano, 1986).

Location

City

Suburb

Total

Favor

Oppose

Total

Alpha is

To begin with, convert to frequencies observed and this is done by multiplying by N (150), and thereafter calculating the expected frequencies.

The formula used is fe = (fc x fr) / N

The observed frequencies

Opinion

Favor

Oppose

Total

City

35

15

50

Suburbs

55

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45

Total

90

60

The expected frequencies

Opinion

Favor

Oppose

Total

City

30

20

50

Suburbs

60

40

Total

90

60

The statistic is computed as follows:

Therefore, do not reject H0.

Data Analysis Chapter on Analyzing Statistic Word Problems Assignment

There is no significant difference between the opinions in the city compared to the suburbs.

b)

The correlation between the opinion on the funding proposal and the home location is weak and low.

The correlation constitutes for roughly 2% of the variance in the data (Larson, 2008).

Question 2

Males

1

3

6

5

1

10

8

10

1

9

8

10

5

10

10

2

6

7

7

2

7

8

5

7

6

7

2

3

8

4

10

9

10

2

2

6

2

9

8

9

1

4

4

5

10

6

7

2

10

9

6

9

9

4

2

Females

1

2

2

1

6

4

1

7

6

3

4

3

2

4

5

9

5

2

7

6

5

7

9

4

9

1

4

3

7

8

4

2

6

5

2

4

2

6

4

3

6

9

1

9

3

5

4

9

8

2

8

8

9

7

5

Hypothesis:

Null Hypothesis: H0: There is no significant difference in the self-esteem scores of males and females.

Alternate Hypothesis: H1: There is a significant difference in the self-esteem scores of males and females.

Level of Significance = 0.01

Test Statistic is= t

Anova: Single Factor

SUMMARY

Groups

Count

Sum

Average

Variance

Males Difference

55

2.600992

2.347272

Females Difference… [END OF PREVIEW] . . . READ MORE

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