Exam 1: Introduction: Statistics--Who Needs Them
Exam 1: Introduction: Statistics--Who Needs Them50 Questions
Exam 2: Types of Data53 Questions
Exam 3: A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics78 Questions
Exam 4: Measures of Central Tendency: Whats so Average About the Mean58 Questions
Exam 5: Variability: the Law of Life53 Questions
Exam 6: Where Am I Normal Distributions and Standard Scores50 Questions
Exam 7: Basic Probability Theory51 Questions
Exam 8: The Central Limit Theorem and Hypothesis Testing46 Questions
Exam 9: The Z-Test52 Questions
Exam 10: The T-Test51 Questions
Exam 11: Analysis of Variance51 Questions
Exam 12: Confidence Intervals and Effect Size: Building a Better Mousetrap56 Questions
Exam 13: Correlation and Regression: Are We Related59 Questions
Exam 14: The Chi-Square Test53 Questions
Exam 15: Non-Parametric Tests58 Questions
Exam 16: Which Test Should I Use and Why50 Questions
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Statistics is useful when it is applied to strengthen an argument.
(True/False)
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Parameters are characteristics of the population that are used to estimate sample statistics.
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It is generally impractical to collect data from the entire population. But often times, scientists and researchers want to estimate true population parameters. This makes __________ particularly valuable.
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If the sample's composition is similar to that of the population, we say that it is a __________________ sample.
(Multiple Choice)
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In experimentation, it is generally the case that researchers are testing whether their ______________ are supported
(Multiple Choice)
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Ture or False: Chance errors are generally out of the experimenter's control
(True/False)
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