Exam 4: Looking at Data: Measures of Central Tendency
Exam 1: Making Sense of Variability: an Introduction to Statistics 42 Questions
Exam 2: Statistics in the Context of Scientific Research50 Questions
Exam 3: Looking at Data: Frequency Distributions and Graphs59 Questions
Exam 4: Looking at Data: Measures of Central Tendency55 Questions
Exam 5: Looking at Data: Measures of Variability53 Questions
Exam 6: The Normal Distribution, Probability, and Standard Scores67 Questions
Exam 7: Understanding Data: Using Statistics for Inference and Estimation58 Questions
Exam 8: Is There Really a Difference Introduction to Statistical Hypothesis Testing91 Questions
Exam 9: The Basics of Experimentation and Testing for a Difference Between Means82 Questions
Exam 10: One-Factor Between-Subjects Analysis of Variance99 Questions
Exam 11: Two-Factor Between-Subjects Analysis of Variance92 Questions
Exam 12: One-Factor Within-Subjects Analysis of Variance74 Questions
Exam 13: Correlation: Understanding Covariation76 Questions
Exam 14: Regression Analysis: Predicting Linear Relationships55 Questions
Exam 15: Nonparametric Tests45 Questions
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If a score in a distribution changes in numerical value, it will necessarily change the value of.
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The value in a distribution such that an equal number of scores are above it and below it is called the.
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For the three scores 75, 80, 85, which of the following is true?
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If scores are measured with an interval or ratio scale, then the preferred measure of central tendency for the scores is the.
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Skewness in a frequency distribution can be determined by comparing.
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In a distribution in which each score occurs only once, there will be no.
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The value that corresponds to the 50th percentile point in a distribution of scores is the .
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