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In given exercise use either the critical-value approach or the P-value approach to perform a chi square independence lest. provided the conditions for using the test are met.

Siskel In the classic TV show Sneak Previews, originally hosted by the late Gene Siskel and Roger Ebert, the two Chicago movie critics reviewed the weeks new movie releases and

then rated them thumbs up (positive), mixed, thumbs down (negative). These two critics often saw the merits of a movie differently. In general, however, were ratings given by Siskel and Ebert

associated? The answer to this question was the focus of the paper "Evaluating Agreement and Disagreement Among Movie Reviewers" by A. Agresti and L. Winner that appeared in Chance

(Vol- 10(2), pp-10-14). The following contingency table summarizes ratings by Siskel and Ebert for 160 movies.

At the 1% significance level, do the data provide sufficient evidence to conclude that an association exists between ratings of Siskel and Ebert?

Short Answer

Expert verified

At the 1% significance level, the data provide sufficient evidence to conclude that the ratings associated by Siskel and Ebert are associated.

Step by step solution

01

Step 1. Given

02

Step 2. The null and alternate hypotheses are 

H0: The ratings given by Siskel and Ebert are not associated.

Ha: The ratings given by Siskel and Ebert are associated.

03

Step 3. 

The following contingency table contains the expected frequencies corresponding to the

Observed frequencies

(O-E)2

04

Step 3. 

•All expected frequencies are greater than 1, we can verify by referring to the above table.

• At most 20% of the expected frequencies are less than 5. In fact, none of the expected frequencies are less than 5, as we can verify by referring to the above table.

All assumptions are satisfied.

05

Step 4.

The test is to be performed at the 1% significance level, soα=0.01.

06

Step 6.

(O-E)2E

the value of test statistic isX2=45.357

07

Step 7.

the row variable has 3 values and column variable has 3 values, therefore r = 3, c = 3 and

X2=45.357df=(r-1).(c-1)=(3-1).(3-1)=2×2

For, α=0.01, Table VII reveals that the critical value is =4.

08

Step 8.

X0.012=13.277

09

Step 9.

we see the test statistic falls in the rejection region. Thus we reject the test results are statistically significant at 1% level.

10

Step 10.

At the 1% significance level, the data provide sufficient evidence to conclude that the ratings associated by Siskel and Ebert are associated.

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Most popular questions from this chapter

12.50 U.S. Hospitals. The American Hospital Association publishes 12.30 U.S. information about U.S. hospitals and nursing homes in Hospital Statistics. The following contingency table provides a cross classification of U.S. hospitals and nursing homes by type of facility and number of beds.

In the following questions, the term hospital refers to either a hospital or nursing home.


24 or fewer25-7475 or moreTotal
General260158635575403
Psychiatric24242471737
Chronic132236
Tuberculosis0224
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a. How many hospitals have at least 75 beds?

b. How many hospitals are psychiatric facilities?

c. How many hospitals are psychiatric facilities with at least 75 beds?

d. How many hospitals either are psychiatric facilities or have at least 75 beds?

e. How many general facilities have between 25 and 74 beds?

f. How many hospitals with between 25 and 74 beds are chronic facilities?

g. How many hospitals have more than 24 beds?

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