Exam 17: Overview and Extension: Statistical Tests for More Complex Designs
Exam 1: Introduction and Mathematical Preliminaries146 Questions
Exam 2: Frequency and Probability Distributions150 Questions
Exam 3: Measures of Central Tendency and Variability154 Questions
Exam 4: Percentiles,percentile Ranks,standard Scores,and the Normal Distribution176 Questions
Exam 5: Pearson Correlation and Regression: Descriptive Aspects152 Questions
Exam 6: Probability149 Questions
Exam 7: Estimation and Sampling Distributions151 Questions
Exam 8: Hypothesis Testing: Inferences About a Single Mean160 Questions
Exam 9: Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships150 Questions
Exam 10: Independent Groups T-Test149 Questions
Exam 12: One-Way Repeated Measures Analysis of Variance140 Questions
Exam 13: Pearson Correlation and Regression: Inferential Aspects143 Questions
Exam 14: Chi-Square Test145 Questions
Exam 15: Nonparametric Statistics135 Questions
Exam 16: Two-Way Between-Subjects Analysis of Variance117 Questions
Exam 17: Overview and Extension: Statistical Tests for More Complex Designs124 Questions
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In multiple regression analysis,each predictor has a "slope" (â)that is called a:
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A researcher is interested in whether the number of years working in a company (1,5,or 10)might have an effect on job satisfaction (rating scale 1-50),employer satisfaction (rating scale 1-20)and perception of job difficulty (rating scale 1-10).Which of the following tests would be used to analyze this data?
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When both variables under study are qualitative and between-subjects in nature,the appropriate method of data analysis is the chi square test as discussed in Chapter 15.
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