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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Another name for an observed or computed significance level is _____.
(Short Answer)
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Describe the chi-square test for goodness-of-fit and explain when it is the appropriate test.
(Essay)
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When the data are interval or ratio scaled and the sample size is large, _____ statistical procedures are appropriate.
(Short Answer)
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Nonparametric statistical tests are frequently referred to as distribution free.
(True/False)
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In statistical testing, the significance level is commonly denoted by the symbol _____.
(Multiple Choice)
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When a researcher wishes to analyze data that is nominal, which type of statistics is appropriate?
(Multiple Choice)
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Failing to identify a hypothesized difference using a sample result when one really does exist in the population is which type of error?
(Multiple Choice)
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Analyses that test hypotheses and models involving multiple (three or more) variables or sets of variables are referred to as _____ statistical analyses.
(Short Answer)
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Which type of statistical analysis test hypotheses involves only one variable?
(Multiple Choice)
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The researcher's hypothesis is generally stated in the form of a null hypothesis.
(True/False)
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In hypothesis testing, the values that lie exactly on the boundary of the region of rejection are referred to as the ______ values.
(Short Answer)
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Nonparametric statistics are based on the assumption that the data in the study are drawn from a population with a normal (bell-shaped) distribution and/or normal sampling distribution.
(True/False)
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Compare and contrast Type I errors and Type II errors and explain which one is of more concern to researchers.
(Essay)
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A two-tailed t-test is appropriate when the researcher has a directional hypothesis implying that an observed mean can only be greater than or less than a hypothesized value.
(True/False)
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In hypothesis testing, the number of observations minus the number of constraints needed to calculate a statistical term is called the ______.
(Short Answer)
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The appropriate test for testing hypotheses about frequencies arranged in a frequency or contingency table is the _____ test.
(Short Answer)
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If the population mean is expected to be 85 and the sample mean is 80, the sample standard deviation is 20, and the sample consists of 100 consumers, the observed value of the Z-statistic is approximately _____.
(Multiple Choice)
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A t-test is appropriate for testing hypotheses about frequencies arranged in a frequency or contingency table.
(True/False)
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In business problems, Type II errors generally are considered more serious than Type I errors.
(True/False)
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