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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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