Question

In: Statistics and Probability

No Smoking: The general social survey conducted a poll of 685 adults in which the subjects...

No Smoking: The general social survey conducted a poll of 685 adults in which the subjects were asked whether they agree that the government should prohibit smoking in public places. In addition, each was asked how many people lived in his or her household. The results are summarized in the following contingency table.

Household Size

1 2 3 4 5

Agree 66 109 37 28 30

no opinion 26 56 29 19 30

Disagree 51 79 46 48 31

(a) compute the expected frequencies.

(b) compute the value of the test statistics.

(c) how many degrees of freedom are there?

(d) Test the hypothesis of independence. Use the a=0.05 level of significance. What do you conclude?

Solutions

Expert Solution

Observed Frequencies
S1 S2 S3 S4 S5 Total
Agree 66 109 37 28 30 270
No opinion 26 56 29 19 30 160
Disagree 51 79 46 48 31 255
Total 143 244 112 95 91 685
Expected Frequencies
S1 S2 S3 S4 S5 Total
Agree

143 * 270 / 685

= 56.365

244 * 270 / 685

= 96.1752

112 * 270 / 685

= 44.146

95 * 270 / 685

= 37.4453

91 * 270 / 685

= 35.8686

270
No opinion

143 * 160 / 685

= 33.4015

244 * 160 / 685

= 56.9927

112 * 160 / 685

= 26.1606

95 * 160 / 685

= 22.1898

91 * 160 / 685

= 21.2555

160
Disagree

143 * 255 / 685

= 53.2336

244 * 255 / 685

= 90.8321

112 * 255 / 685

= 41.6934

95 * 255 / 685

= 35.365

91 * 255 / 685

= 33.8759

255
Total 143 244 112 95 91 685
(fo-fe)²/fe
Agree

(66 - 56.365)²/56.365

= 1.647

(109 - 96.1752)²/96.1752

= 1.7102

(37 - 44.146)²/44.146

= 1.1567

(28 - 37.4453)²/37.4453

= 2.3825

(30 - 35.8686)²/35.8686

= 0.9602

No opinion

(26 - 33.4015)²/33.4015

= 1.6401

(56 - 56.9927)²/56.9927

= 0.0173

(29 - 26.1606)²/26.1606

= 0.3082

(19 - 22.1898)²/22.1898

= 0.4585

(30 - 21.2555)²/21.2555

= 3.5975

Disagree

(51 - 53.2336)²/53.2336

= 0.0937

(79 - 90.8321)²/90.8321

= 1.5413

(46 - 41.6934)²/41.6934

= 0.4448

(48 - 35.365)²/35.365

= 4.5142

(31 - 33.8759)²/33.8759

= 0.2442

b) Test statistic:

χ² = ∑ ((fo-fe)²/fe) = 20.7164

c) df = (r-1)(c-1) = 8

d) Critical value:

χ²α = CHISQ.INV.RT(0.05, 8) = 15.5073

p-value:

p-value = CHISQ.DIST.RT(20.7164, 8) = 0.0079

Decision:

p-value < α, Reject the null hypothesis.

There is enough evidence to conclude that there is an association between factors at 0.05 significance level.


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