Exam 18: Hypothesis Testing: Means and Proportions

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What is the degrees of freedom for the explained variation? a) 1 b) 8 c) 9 d) none of the above

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B

The p‐value generally is sensitive to sample size, in that if the sample size increases, the p‐value usually will become larger.

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To measure the difference between means or the difference between independent sample proportions, one would probably use which statistical technique? a) chi-square test b) sign test c) F-test d) t-test

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D

The greater the p-value, the higher is the researcher's confidence in the research findings.

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The ANOVA table is a conventional way to present a hypothesis test regarding the difference between several means.

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The limits of the acceptance region are

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A good descriptive statistic of measuring the strength of association is to measure "Rho," which is the proportion of variance accounted for in the sample data.

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What is the value of rho from these data? a) 0.25 b) 0.333 c) 0.42 d) 0.5

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The hypothesized value of the defect free printers is

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When the sample statistic falls within the critical values, it proves that the null hypothesis is true.

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In a hypothesis test when alpha is pre-specified, the researcher is trying to determine "Is the probability of what has been observed lesser than alpha?" and then decide accordingly.

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The p-value is independent of the sample size.

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What was the unexplained variation in this study? a) 80 b) 160 c) 340 d) 640

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The rejection rule is

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An interaction effect means that the impact of a specific treatment will not be the same for each condition of the other treatment in the ANOVA analysis.

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In an ANOVA test, if the "between-treatment variance" is lesser than the "within-treatment variance," then the null hypothesis can be rejected.

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In an ANOVA test, "within-treatment variance" corresponds to the variance in the response variable for a given treatment.

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What F-value do you find from this table? a) 0.75 b) 0.9 c) 1.0 d) 1.6

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The p-value can be defined as the largest significance level at which we would accept the null hypothesis.

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In an ANOVA test, "between-treatment variance" corresponds to the variance in the response variable for different treatments.

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