Exam 9: Introduction to the t Statistic
Exam 1: Introduction to Statistics.83 Questions
Exam 2: Frequency Distributions.83 Questions
Exam 3: Central Tendency.88 Questions
Exam 4: Variability.85 Questions
Exam 5: z-Scores: Location of Scores and Standardized Distributions.86 Questions
Exam 6: Probability.84 Questions
Exam 7: Probability and Samples: The Distribution of Sample Means.84 Questions
Exam 8: Introduction to Hypothesis Testing.84 Questions
Exam 9: Introduction to the t Statistic85 Questions
Exam 10: The t Test for Two Independent Samples84 Questions
Exam 11: The t Test for Two Related Samples85 Questions
Exam 12: Introduction to Analysis of Variance84 Questions
Exam 13: Repeated-Measures and Two-Factor Analysis of Variance85 Questions
Exam 14: Correlation and Regression.85 Questions
Exam 15: The Chi-Square Statistic: Tests for Goodness of Fit and Independence84 Questions
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To estimate a population mean with a confidence interval,you first must estimate a range of values for t.
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If two samples from the same population are the same size and have the same mean,then they will have the same t statistic.
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In a hypothesis test,a large value for the sample variance increases the likelihood that you will find a significant treatment effect.
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For a hypothesis test using a t statistic,the boundaries for the critical region will change if the sample size is changed.
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If other factors are held constant,which set of sample characteristics is most likely to reject a null hypothesis stating that μ = 80?
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