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| 1 | |
Which of the following sequences for analyzing data is in the best order? |
| | A) | calculate descriptive statistics, construct graphs, calculate inferential statistics |
| | B) | calculate inferential statistics, construct graphs, calculate descriptive statistics |
| | C) | construct graphs, calculate descriptive statistics, calculate inferential statistics |
| | D) | calculate descriptive statistics, calculate inferential statistics, construct graphs |
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| 2 | |
The probabilities used for hypothesis testing are accurate for making generalizations to a population when |
| | A) | the sample size is large. |
| | B) | confidence intervals cannot be constructed. |
| | C) | the significance level is small. |
| | D) | samples are random. |
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| 3 | |
If there is a strong curvilinear relationship between two quantitative variables, Pearson's correlation coefficient will |
| | A) | estimate this relationship accurately. |
| | B) | underestimate this relationship. |
| | C) | slightly overestimate this relationship. |
| | D) | grossly overestimate this relationship. |
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| 4 | |
The magnitude of relationships can be best evaluated using |
| | A) | tests for statistical significance. |
| | B) | effect size indices. |
| | C) | parametric techniques. |
| | D) | nonparametric techniques. |
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| 5 | |
The importance of a relationship is best evaluated using |
| | A) | the judgment of experts. |
| | B) | the level of significance used by the researcher. |
| | C) | the correlation coefficient. |
| | D) | established guidelines published by statisticians. |
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| 6 | |
The best display for showing the relationship between two categorical variables is the |
| | A) | frequency polygon. |
| | B) | boxplot. |
| | C) | scatterplot. |
| | D) | crossbreak table. |
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| 7 | |
When news magazines publish average SAT scores for all of the states in the United States, an individual unit is a |
| | A) | student who took the SAT. |
| | B) | school district. |
| | C) | state. |
| | D) | country. |
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| 8 | |
When a relationship between quantitative variables within a single group is described, the appropriate technique is |
| | A) | the scatterplot. |
| | B) | crossbreak table. |
| | C) | frequency polygon. |
| | D) | the boxplot. |
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| 9 | |
Name one technique for describing groups on a quantitative variable. |
| | A) | chi square |
| | B) | t-test for proportions |
| | C) | percentage |
| | D) | frequency polygon |
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| 10 | |
If inferential statistics are obtained, it should be |
| | A) | to determine importance. |
| | B) | before assessing importance. |
| | C) | after assessing importance. |
| | D) | to determine randomness of sample. |
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| 11 | |
Confidence intervals are preferred to significance tests because they |
| | A) | describe sample variability. |
| | B) | do not require a random sample. |
| | C) | provide more information. |
| | D) | assess importance. |
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| 12 | |
If Eta is larger than r, |
| | A) | neither should be used. |
| | B) | a mistake in calculation has been made. |
| | C) | r overstates the relationship. |
| | D) | r understates the relationship. |
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| 13 | |
A distortion in using proportions and percentages can result from |
| | A) | unequal base groups. |
| | B) | difficulty in computation. |
| | C) | overlapping categories. |
| | D) | lack of an interval scale. |
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| 14 | |
Which statement is true for "outliers"? |
| | A) | they should be deleted from analysis. |
| | B) | they can distort summary statistics. |
| | C) | they are mistakes made in analysis. |
| | D) | they are of little importance. |
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| 15 | |
The authors suggest that researcher use both parametric and nonparametric techniques to analyze data because |
| | A) | it takes more time and is important. |
| | B) | it will make you a better researcher. |
| | C) | when the results are consistent, interpretation will be strengthened. When the results are not consistent, you can discuss the possible reasons. |
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