Exam 21: Univariate Statistical Analysis
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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A significance level is a critical probability associated with a statistical hypothesis test that indicates how likely it is that an inference supporting a difference between an observed value and some statistical expectation is true.
(True/False)
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The values that lie exactly on the boundary of the region of rejection for hypothesis-testing are called the _____.
(Multiple Choice)
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When the data are in ______ form, and the sample size is ______ , the researcher should use parametric statistical procedures.
(Multiple Choice)
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You are designing a research study and are determining the appropriate statistical technique to use. List the factors you should consider when choosing the appropriate statistical technique.
(Essay)
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A univariate t-test is appropriate for testing hypotheses involving some observed mean against some specified value.
(True/False)
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A Type II error occurs when you reject the null hypothesis when, in fact, it is true.
(True/False)
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The two types of errors researcher run the risk of committing when sampling are _____.
(Multiple Choice)
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In a brand awareness study of 80 consumers, 52 of them were able to identify "Fusion" as a type of Ford automobile. The chi-square value for a test of this brand awareness was approximately _____.
(Multiple Choice)
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The scale of measurement used by the researcher determines the allowable statistical techniques in the research study.
(True/False)
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The error caused by rejecting the null hypothesis when, in fact, it is true is called a(n) ______ error.
(Short Answer)
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Which type of statistics involves numbers with known, continuous distributions?
(Multiple Choice)
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When the researcher does not know how the data are distributed, the researcher should use ________ methods of statistics in analyzing the data.
(Short Answer)
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A Type I error occurs when you fail to reject the null hypothesis when the alternative hypothesis is true.
(True/False)
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A general term representing how well some computed table or matrix of values matches some population or predetermined table or matrix of the same size is _____.
(Short Answer)
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In hypothesis testing, the values of t that lie on the boundary of the region of rejection are called the critical values.
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Selection of the appropriate statistical test to use in a research study depends on all of the following EXCEPT _____.
(Multiple Choice)
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