Exam 12: Quantitative Data Analysis Part 2: Hypothesis Testing

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McNemar's test is:

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C

We have a multicollinearity problem if our VIF values are higher than 10.

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What is the most appropriate technique to test the hypothesis that the performance of employees depends on the reward they receive,because this reward increases their motivation (all variables are measured on a 5-point Likert scale)?

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Statistical power depends on:

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The VIF value is the inverse of the tolerance value.

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The statistical null hypothesis is rejected when the p-value is small enough.

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To be able to conduct a t-test it is important:

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A researcher wants to know if the distribution of income in his sample corresponds to the real distribution in his population (60% < the standard,40% >= above the standard).The most appropriate technique to test this is:

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Multicollinearity occurs when any single independent variable is highly correlated with a set of other independent variables.

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The most appropriate technique to test the hypothesis that the quality of tangible elements (measured on ratio-level)influences satisfaction on the University restaurant (measured on ration-level),but that the relationship between these variables differs between students and scientific employees is …?

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Partial mediation exists when an independent variable influences the dependent variable both directly and indirectly.

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The one sample t-test is used to test the hypothesis that the mean of the population from which a sample is drawn is equal to a comparison standard.

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Statistical power or power is the probability of correctly rejecting the null hypothesis.

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What is the most appropriate technique to test the hypothesis that the number of Bacardi Breezers drunk by men is smaller than the number of Bacardi Breezers drunk by women?

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Which of the following alternatives is possibly the dependent (or Y)variable in a study in which regression analysis is used to analyze the data?

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ANOVA is used to determine if the variance between groups significantly differ from each other.

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MANOVA is similar to ANOVA,with the difference that MANOVA is able to handle:

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Whereas the (independent samples)t-test would indicate whether or not there is a significant mean difference in a dependent variable between two groups,an analysis of variance (ANOVA)helps to examine the significant mean differences among more than two groups on an interval or ratio-scaled dependent variable.

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Multicollinearity is not a serious problem if the purpose of the study is to predict or forecast future values of the dependent variable.

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A paired samples t-test is used to examine the differences in the same group before and after a treatment.

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