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Suppose youare interested in whether the distribution of religious affiliations

ID: 3368979 • Letter: S

Question

Suppose youare interested in whether the distribution of religious affiliations of members of the House of Representatives is the same as the distribution of religious affiliation in the United States. The following table contains data for religiousaffiliation:

Religion

Proportion in US1

Number of Representatives2

Protestant

46.5%

220

Catholic

20.8%

140

Other Christian

3.3%

36

Jewish

1.9%

19

Other/None

27.4%

20

TOTAL

100.0%

435

1 data from http://www.pewforum.org/2015/05/12/americas-changing-religious-landscape/

2 data from https://www.washingtonpost.com/graphics/politics/114th-house-religions/

1. What type of hypothesis test would you use for this?
a. Goodness of Fit
b. Test of Heterogeneity
c. Test of Independence

2. What is the p-value for the test?

3. Is the distribution of religious affiliations for Congressmen and Congresswomen different than the distribution in the US?

Religion

Proportion in US1

Number of Representatives2

Protestant

46.5%

220

Catholic

20.8%

140

Other Christian

3.3%

36

Jewish

1.9%

19

Other/None

27.4%

20

TOTAL

100.0%

435

1 data from http://www.pewforum.org/2015/05/12/americas-changing-religious-landscape/

2 data from https://www.washingtonpost.com/graphics/politics/114th-house-religions/

Explanation / Answer

1)a. Goodness of Fit

2)

applying chi square goodness of fit:

for above test staitistic 157.78 and (groups-1=5-1=4) degree of freedom p value =0.0000

3)

as p value is highly significant we reject null hypothesis

we have highly sufficient evidence to conclude that  distribution of religious affiliations for Congressmen and Congresswomen different than the distribution in the US

observed Expected Chi square category Probability(p) Oi Ei=total*p R2i=(Oi-Ei)2/Ei Protestant 0.465 220.000 202.28 1.553 Catholic 0.208 140.000 90.48 27.102 Other Christian 0.033 36.000 14.36 32.637 Jewish 0.019 19.000 8.27 13.94 Other/None 0.274 20.000 119.19 82.55 total 435 435 157.78
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