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1 | |
A sampling distribution is a distribution of |
| | A) | study participants. |
| | B) | statistics. |
| | C) | parameters. |
| | D) | raw scores. |
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2 | |
In a normal distribution, 95% of the scores are within + or - |
| | A) | one standard deviation of the mean. |
| | B) | two standard deviations of the mean. |
| | C) | three standard deviations of the mean. |
| | D) | four standard deviations of the mean. |
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3 | |
The standard deviation of a statistic is called |
| | A) | the standard error. |
| | B) | the sampling error. |
| | C) | a quartile. |
| | D) | a confidence interval. |
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4 | |
Which of the following is an example of a null hypothesis? |
| | A) | Motivation is not related to achievement. |
| | B) | Highly motivated people are more likely to be successful than those with low motivation. |
| | C) | Highly motivated people are less likely to be successful than those with low motivation. |
| | D) | Motivation is related to achievement. |
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5 | |
If researchers report that a result is statistically significant, we can be certain that |
| | A) | the results are important. |
| | B) | the outcomes of the study could be due to chance only 5 times in 100. |
| | C) | the sample statistics in the study are equal to the population parameters. |
| | D) | the researchers rejected the null hypothesis. |
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6 | |
If a researcher rejects a null hypothesis, the researcher either |
| | A) | is incorrect, or made a Type I error. |
| | B) | is correct, or made a Type I error. |
| | C) | is incorrect, or made a Type II error. |
| | D) | is correct, or made a Type II error. |
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7 | |
An inferential technique for analyzing the relationship between two categorical variables is |
| | A) | analysis of variance. |
| | B) | analysis of covariance. |
| | C) | the Mann-Whitney U test. |
| | D) | the chi-square test. |
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8 | |
Certain types of procedures that allow researchers to make inferences about a population based on findings from a sample best describes |
| | A) | descriptive statistics. |
| | B) | inferential statistics. |
| | C) | correlational statistics. |
| | D) | cross-break. |
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9 | |
What is the term that describes the difference between a sample and its population? |
| | A) | sampling error |
| | B) | the chi-square test |
| | C) | descriptive statistics |
| | D) | inferential statistics |
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10 | |
Which type of hypothesis specifies that there is no relationship in the population? |
| | A) | research hypothesis |
| | B) | descriptive hypothesis |
| | C) | null hypothesis |
| | D) | inferential hypothesis |
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11 | |
When researchers make various assumptions about the nature of the population from which the sample involved is drawn, this is a requirement of |
| | A) | nonparametric techniques. |
| | B) | the null hypothesis. |
| | C) | sampling error. |
| | D) | parametric techniques. |
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12 | |
When researchers make few, if any, assumptions about the nature of the population from which the sample involved in the survey is drawn, this refers to |
| | A) | sampling error. |
| | B) | parametric techniques. |
| | C) | nonparametric techniques. |
| | D) | null hypothesis. |
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13 | |
t-test for means |
| | A) | used when comparing two sets of rankings |
| | B) | used when comparing several sets of scores |
| | C) | used when comparing two sets of scores |
| | D) | used with categorical data |
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14 | |
Mann-Whitney U test |
| | A) | used when comparing two sets of rankings |
| | B) | used when comparing several sets of scores |
| | C) | used when comparing two sets of scores |
| | D) | used with categorical data |
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15 | |
Chi-Square |
| | A) | used when comparing two sets of rankings |
| | B) | used when comparing several sets of scores |
| | C) | used when comparing two sets of scores |
| | D) | used with categorical data |
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16 | |
Analysis of Variance |
| | A) | used when comparing two sets of rankings |
| | B) | used when comparing several sets of scores |
| | C) | used when comparing two sets of scores |
| | D) | used with categorical data |
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2003 McGraw-Hill Higher Education