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Quiz 18 :

Hypothesis Testing: Means and Proportions

Quiz 18 :

Hypothesis Testing: Means and Proportions

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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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D

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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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True False
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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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True

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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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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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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. Use the following information to answer questions 1 - 3 Explained ? ? Unexplained ? 32 Total 800 ? Rho = .20 and there were 9 groups
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The p-value is independent of the sample size.
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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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When the sample statistic falls within the critical values, it proves that the null hypothesis is true.
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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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The ANOVA table is a conventional way to present a hypothesis test regarding the difference between several means.
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What was the unexplained variation in this study? a) 80 b) 160 c) 340 d) 640
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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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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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If the F-value from this table was .19 and the table value from the back of the book was 3.89, you would a) accept the null hypothesis of independence b) reject the null hypothesis of independence c) accept the null hypothesis that the explained variance = 0 d) reject the null hypothesis that the explained variance = 0
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In one-way ANOVA, we primarily look to determine whether or not there are any statistically significant differences between the treatment means
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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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The p-value can be defined as the largest significance level at which we would accept the null hypothesis.
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The greater the p-value, the higher is the researcher's confidence in the research findings.
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How many subjects participated in this experiment? a) 16 b) 17 c) 18 d) 19
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