Exam 20: Basic Data Analysis: Descriptive Statistics
Exam 1: The Role of Business Research58 Questions
Exam 2: Information Systems and Knowledge Management87 Questions
Exam 3: Theory Building65 Questions
Exam 4: The Business Research Process102 Questions
Exam 5: The Human Side of Business Research: Organizational and Ethical Issues92 Questions
Exam 6: Problem Definition: the Foundation of Business Research85 Questions
Exam 7: Qualitative Research94 Questions
Exam 8: Secondary Data Research in a Digital Age87 Questions
Exam 9: Survey Research: an Overview95 Questions
Exam 10: Survey Research: Communicating With Respondents81 Questions
Exam 11: Observation90 Questions
Exam 12: Experimental Research138 Questions
Exam 13: Measurement100 Questions
Exam 14: Attitude Measurement90 Questions
Exam 15: Questionnaire Design116 Questions
Exam 16: Sampling Designs and Sampling Procedures91 Questions
Exam 17: Determination of Sample Size: a Review of Statistical Theory87 Questions
Exam 18: Fieldwork69 Questions
Exam 19: Editing and Coding: Transforming Raw Data Into Information86 Questions
Exam 20: Basic Data Analysis: Descriptive Statistics92 Questions
Exam 21: Univariate Statistical Analysis76 Questions
Exam 22: Bivariate Statistical Analysis: Differences Between Two Variables77 Questions
Exam 23: Bivariate Statistical Analysis: Measures of Association81 Questions
Exam 24: Multivariate Statistical Analysis85 Questions
Exam 25: Communicating Research Results: Report Generation, Oral Presentation, and Follow-Up84 Questions
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Explain what a contingency table is and discuss how it is useful in business research.
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A contingency table is a data matrix that displays the frequency of some combination of possible responses to multiple variables. Two-way contingency tables, meaning they involve two less-than interval variables, are used most often. The row and column totals often are called marginals because they appear in the table's margins. Researchers usually are more interested in the inner cells of a contingency table because they display conditional frequencies (combinations). Using these values, we can draw more specific conclusions.
When ranking data are transformed, the frequency of the ranking score should be divided by the score.
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(True/False)
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False
A researcher interested in a data matrix that displays the frequency of some combination of possible responses to multiple variables should construct a _____.
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(Multiple Choice)
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B
An analysis of the basic cross-tabulation for each level of a variable not previously considered, such as subgroups of the sample, is referred to as _____.
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The purpose of a table in a research report is to summarize and communicate the meaning of the data to the reader.
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When responses to two rating scale questions are plotted in four quadrants of a two- dimensional graph, this is called ______ analysis.
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A(n) _____ is a graphical way of showing a frequency distribution in which the height of a bar corresponds to the frequency of a category.
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When a respondent's answers to ten Likert-scale items are added up to form a total score for these questions, this is an example of _____.
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Descriptive statistics can summarize responses from large numbers of respondents in a few simple statistics.
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When a third variable inserted into the analysis changes the results when two other variables were studied previously, this third variable is called a moderator variable.
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A researcher is reviewing average household income data and sees that one household reported an annual income of over $1 million. This value lies outside the normal range of the data and is called a(n) _____.
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Explain the process and importance of interpretation in business research.
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Researchers often perform a(n) _____ to collapse a scale with multiple response points into two categories.
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Box and whisker plots provide graphic representations of central tendencies, percentiles, variabilities, and the shapes of frequency distributions.
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A contingency table is a data matrix that displays the frequency of some combination of possible responses to multiple variables.
(True/False)
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A category split means respondents below the observed median go into one category and respondents above the median go into another.
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If a business wants to know if more males or females work in its two manufacturing facilities, which of the following answers this question?
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Data with which type of distribution are appropriate for division based on the median split?
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