Exam 13: Understanding Research Results: Statistical Inference

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The appropriate statistical test for interval or ratio level data is the _____.

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The probability of making a Type II error increases when the:

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A Type I error occurs when one:

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A researcher wants to know if cholesterol levels are lower in vegetarians or nonvegetarians. Which statistical test would be most appropriate for this data?

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The appropriate statistical test for nominal level data of two groups is the:

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The null hypothesis is rejected whenever:

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When comparing the differences in the ratings of responsibility for an automobile accident between male and female drivers, the null hypothesis would suggest that:

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When testing the differences between means, the null hypothesis suggests that any observed difference is due to _____.

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Which of the following is the least accurate statement about the use of statistical tests?

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When examining the strength of the relationship between study time and test score, the null hypothesis would suggest that the true population correlation is:

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_____ variance is the deviation of the group means from the grand mean.

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Negative results are problematical because they:

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The likelihood of the occurrence of some event or outcome is referred to as:

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A researcher was interested in the differences in the opinions about marriage between men and women. She predicted that women would have different opinions about marriage from men. What would the null hypothesis suggest in this situation?

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A researcher asked participants to rate the softness of two well-known brands of tissue paper-Daisy and Flora. Daisy was rated softer than Flora with mean ratings of 5.50 and 3.25 respectively. This difference was statistically significant at the .05 probability level. The null hypothesis for the population suggests that:

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When a researcher _____ the probability of making a Type I error, he or she _____ the probability of making a Type II error.

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The expected value of t under the null hypothesis _____.

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According to the _____ hypothesis, the independent variable has no effect.

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The probability of making a Type II error is NOT influenced by the:

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The null hypothesis:

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