Exam 3: Looking at Data: Frequency Distributions and Graphs
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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Multiplying rf by 100 yields frequency.
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A table showing each score in a set of scores and the number of times it occurred is called a.
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The midpoint of a class interval is midway between the limits of the interval.
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The formula ( f of scores in interval) N provides the grouped frequency.
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The frequency of a class interval plus the frequencies of all lower class intervals is the grouped frequency of a distribution.
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Listing each possible score value and then placing a tally mark next to each score for each time it occurs in a set of scores results in a(n) frequency distribution.
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The scores of a subject exactly as collected and before they are analyzed statistically are called.
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The formula (Xhighest - Xlowest) ⁄ number of intervals provides the in a grouped frequency distribution.
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An examination that clearly distinguished between those students who knew the material and those who did not would most likely yield a distribution.
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The formula (rf of scores in interval) × 100 provides the grouped frequency.
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In a histogram, the the class interval is given by the height of the bar.
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An examination that is so difficult that many people get low scores and only a few get high scores would create a.
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The grouped percentage frequency of a class interval plus the sum of the percentage frequencies of all lower class intervals is the frequency of a distribution.
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A bar graph is used to present data, whereas a histogram is used to present data.
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The size of a class interval in a grouped frequency distribution is represented by.
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