The University of Chicago’s General Social Survey (GSS) is the nation’s most imp
ID: 3155562 • Letter: T
Question
The University of Chicago’s General Social Survey (GSS) is the nation’s most important social science sample survey. The GSS regularly asks its subjects their astrological sign. Since the 12 zodiac signs evenly divide the calendar year, this information can be used to test whether births are uniformly distributed across the year. Here is an incomplete Minitab output for the corresponding chi-square test:
Test Contribution
Category Observed Proportion Expected to Chi-Sq
Aquarius 224 0.0833333 231.583 0.248
Aries 225 0.0833333 231.583 0.187
Cancer 240 0.0833333 231.583 0.306
Capricorn 216 0.0833333 231.583 1.047
Gemini 241 0.0833333 231.583 0.383
Leo 260 0.0833333 231.583 3.487
Libra 243 0.0833333 231.583 0.563
Pisces 244 0.0833333 231.583 0.666
Sagittarius 200 0.0833333 231.583 4.307
Scorpio 214 0.0833333 231.583 1.335
Taurus 222 0.0833333 231.583 0.397
Virgo 250 0.0833333 231.583 1.465
N DF Chi-Sq P-Value
2779 * * *
13. The P-value of this test is
a. greater than 0.10.
b. below 0.10 but above 0.05.
c. below 0.05 but above 0.01.
d. below 0.01.
14. The chi-square test in this situation
a. is valid, because the sample is random and the expected counts are large enough.
b. is valid, because the sample is random and the observed counts are large enough.
c. is valid, because the sample size is large.
d. is not valid, because we do not know the true population proportions.
15. At significance level alpha 5%, you conclude
a. that there is significant evidence that births are not uniformly distributed across the year.
b. that the data are consistent with a uniform distribution of births across the year.
c. that the data prove that births are uniformly distributed across the year.
d. nothing, because the test assumptions are not met.
Explanation / Answer
0.248
0.187
0.306
1.047
0.383
3.487
0.563
0.666
4.307
1.335
0.397
1.465
Total
14.391
N DF Chi-Sq P-Value
2779 11 14.391 0.2121
13. The P-value of this test is
a. greater than 0.10.
b. below 0.10 but above 0.05.
c. below 0.05 but above 0.01.
d. below 0.01.
14. The chi-square test in this situation
a. is valid, because the sample is random and the expected counts are large enough.
b. is valid, because the sample is random and the observed counts are large enough.
c. is valid, because the sample size is large.
d. is not valid, because we do not know the true population proportions.
15. At significance level alpha 5%, you conclude
a. that there is significant evidence that births are not uniformly distributed across the year.
b. that the data are consistent with a uniform distribution of births across the year.
c. that the data prove that births are uniformly distributed across the year.
d. nothing, because the test assumptions are not met.
0.248
0.187
0.306
1.047
0.383
3.487
0.563
0.666
4.307
1.335
0.397
1.465
Total
14.391
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