Exam 16: Fundamentals of Data Analysis

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Analysis of association between two nominally scaled variables is called a) analysis of variance b) cross tabulation c) factor analysis d) cluster analysis

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B

Coding for closed-ended questions is much more difficult than open-ended questions

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The decision to combine certain categories is dependent upon the ease with which this can be done and the number of original categories.

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Which of the questions listed below would be the easiest to code?

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The process that is used to make the sample data more representative of the population that has been surveyed is called a) editing b) coding c) weighting d) transcribing

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Nominal-scaled data is the best from the perspective of data analysis

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In weighting, categories that are underrepresented in the sample are given lower weights, while overrepresented categories are given higher weights

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If there are m levels of qualitative variables, ________ dummy variables are used to specify them a) m b) m+1 c) m-1 d) m x 2

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The process of editing the data involves

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It is generally easier for an analyst to interpret the raw numbers rather than the percentages that have been subsequently derived from the data.

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While inspecting political polling data, you notice that when the distance jogged by the President the independent variable) increases, his popularity rating the dependent variable) goes down. This would indicate a positive correlation between the two variables.

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The estimated number of students in the city's high schools

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The correlation between sales and radio ad budget

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Every questionnaire should have some open-ended questions.

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The purpose of editing is to identify omissions, ambiguities, and errors in the responses.

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Ignore questionable responses while making use of the

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A procedure in which the variables are brought to a mean of 0, and a standard deviation of 1 is called ________________

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Hypothesis testing of a difference between means can help a researcher decide whether a certain difference was obtained merely by chance or because of differences in the underlying populations.

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A researcher who uses a frequency distribution or a single number will necessarily reach the same conclusion.

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A frequency distribution simply reports the number of responses that each question category receives.

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