A researcher wants to see if urban suburban and rural


Statistical and Social Significance

A researcher wants to see if urban, suburban and rural communities differ in terms of the support for food banks. The researcher randomly chose 4000 food banks from around the country and interviewed the director of each. Food banks were classified by community (urban, suburban, rural) and how much support the director said they received from the community (high, medium and low). Here is the table (this data is fictitious).

 

Urban

Suburban

Rural

Total

High Support

500

250

350

1100

 

26.40%

27.80%

29.20%

27.50%

Medium Support

700

300

350

1350

 

36.80%

33.30%

29.20%

33.80%

Low Support

700

350

500

1550

 

36.80%

38.90%

41.60%

38.70%

 

1900

900

1200

4000

 

Expected Frequency

fo - fe

(fo - fe)2

(f- fe)2/fe

Urban-high

(1100*1900)/4000

500 - 522.5 = -22.5

-2.252 = 506.25

506.25/522..97

Urban-medium

(1350*1900)/4000

700 - 641.25= 58.75

3451.6

3451.6/641..38

Urban-low

 

 

 

 

Suburban-high

 

 

 

 

Suburban-medium

 

 

 

 

Suburban-low

 

 

 

 

Rural-high

 

 

 

 

Rural-medium

 

 

 

 

Rural-low

 

 

 

 

Complete the table to calculate chi square.

Calculate the degrees of freedom for the table.

Can you reject the null hypothesis at the alpha = 0.05 level?

Write an paragraph in which you report your results regarding the hypothesis test. Include statements of the null and research hypothesis, the chi square value, degrees of freedom and your conclusions.

Write another paragraph in which you discuss and compare the social significance of the differences compared to the statistical significance.

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Basic Statistics: A researcher wants to see if urban suburban and rural
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