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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Statistics that describe the dispersion of scores around a typical score are known as measures of.
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The symbol typically used to indicate a mean in a journal article is.
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The sum of the differences of a set of scores about the mean of those scores is always.
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For the set of scores 1, 1, 2, 2, 3, 4, 5, 5, 6, 6 the median is.
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A frequency distribution that has only one most frequently occurring score is called.
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If scores are measured with a nominal scale, then the only measure of central tendency that can be used is the.
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Which of the following divides a frequency distribution in half?
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The measure of central tendency most affected by extreme scores in a distribution is the .
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For a distribution in which no score occurs more than once, which of the following is true?
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When the scores in a distribution are positively skewed, the mean will have a value.
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