USF Statistics & Multiple Population Proportions Worksheet
| Q1 |
If there are three or more populations, then it is |
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possible to test for equality of three or more population proportions |
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impossible to test for equality of the three population proportions, because chi-square tests deal with only two populations |
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customary to use a t distribution to test for equality of the three population proportions |
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| d. |
reasonable to test for equality of multiple population proportions using chi-square lower tail tests
| Q2 |
The degrees of freedom for a data table with 10 rows and 10 columns is |
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100 |
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| b. |
81 |
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| c. |
18 |
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| d. |
20 |
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| Q3 |
When individuals in a sample of 150 were asked whether or not they supported capital punishment, the following information was obtained. |
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Do you support |
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Number of |
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capital punishment? |
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individuals |
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Yes |
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45 |
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No |
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55 |
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No Opinion |
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50 |
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We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed. The p-value is |
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less than .01. |
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larger than .1. |
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between .01 and .05. |
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| d. |
between .05 and .1.
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| Q4 |
The following table shows the number of individuals in a sample of 450 who indicated they support the new tax proposal. |
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Political Party |
Support |
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Democrats |
150 |
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Republicans |
170 |
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Independents |
130 |
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We are interested in determining whether or not the opinions of the individuals of the three groups are uniformly distributed. The expected frequency for each group is |
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0.333 |
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| b. |
0.5 |
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| c. |
150 |
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| d. |
135 |
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| Q5 |
The test for goodness of fit |
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is always a lower tail test. |
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is always an upper tail test. |
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is always a two-tailed test. |
| d. |
can be a lower or an upper tail test. |
| Q6 |
The ANOVA procedure is a statistical approach for determining whether or not the means of _____ are equal |
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two samples |
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two or more samples |
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two populations |
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| d. |
three or more populations |
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| Q7 |
In the ANOVA, treatments refer to |
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experimental units |
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different levels of a factor |
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the dependent variables |
| d. |
statistical applications |
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