Exam 8: Analyzing Data: Understanding Statistics
Exam 1: Introduction to Research Methods68 Questions
Exam 2: Reviewing and Citing the Literature25 Questions
Exam 3: Basic Concepts in Quantitative Research19 Questions
Exam 4: Sampling29 Questions
Exam 5: Measurement39 Questions
Exam 6: Qualitative Research Design19 Questions
Exam 7: Designing Experimental Research23 Questions
Exam 8: Analyzing Data: Understanding Statistics48 Questions
Exam 9: Effect Size and Meta-Analysis19 Questions
Exam 10: Preparing Research Reports24 Questions
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How many independent variables can there be in regression models?
(Multiple Choice)
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"The value around which the deviations sum to zero" is the definition of which of the following?
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Which of the following is useful for describing the averages of skewed distributions?
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Which of the following is NOT part of determining the practical significance of random error?
(Multiple Choice)
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If a researcher compares two means for significance, what difference in probability will the ANOVA and the t test find?
(Multiple Choice)
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Which type of statistics helps researchers describe a population's average age?
(Multiple Choice)
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Which of the following will consumers of research be most concerned with when considering an analysis of variance (ANOVA) test of the null hypothesis?
(Multiple Choice)
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Regression is similar to correlation because it looks for what type of relationship between variables?
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Which of the following is the name of the curve that is symmetrical?
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Which variable type corresponds to the outcome being measured?
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In analysis of variance, each way in which participants are classified yields what?
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If a researcher fails to reject a null hypothesis, the difference in question is statistically significant.
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This topic describes how many types of considerations for determining practical significance?
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Statistical significance addresses whether a difference is reliable in light of what?
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Which type of statistics helps researchers examine the relationship between a population's age, height, and weight?
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When the relationship between two variables is perfect and inverse, what is the value of r?
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If the median for a group of participants is 25.00, what percentage of the participants has scores above a score of 25.00?
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