Exam 18: Hypothesis Testing: Means and Proportions
Exam 1: A Decision Making Perspective on Marketing Intelligence63 Questions
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Exam 15: Sample Size and Statistical Theory45 Questions
Exam 16: Fundamentals of Data Analysis61 Questions
Exam 17: Hypothesis Testing: Basic Concepts and Tests of Association45 Questions
Exam 18: Hypothesis Testing: Means and Proportions20 Questions
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In analysis of variance, "sums of squares explained" could be interpreted as being proportional to
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B
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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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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There is a trade-off involved between the costs of each of the two kinds of errors
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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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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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In an ANOVA test, "within-treatment variance" corresponds to the variance in the response variable for a given treatment.
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The choice of the distribution depends only on the size of the sample
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The greater the p-value, the higher is the researcher's confidence in the research findings.
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To measure the difference between means or the difference between independent sample proportions, one would probably use which statistical technique ?
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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 p-value can be defined as the largest significance level at which we would accept the null hypothesis.
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Which of the following is not an underlying assumption for the ANOVA model ?
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