Exam 8: Is There Really a Difference Introduction to Statistical Hypothesis Testing
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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The use of the one-sample t test rests on the assumption that the sample.
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The value 1 - β is the of a statistical test.
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To enter a table of critical values of t, you must know.
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By setting alpha equal to .05, a "statistically rare" event is defined as an event occurring only 5 or fewer times in occasions if the hypothesis is true.
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If the result of a one-sample t test is reported as t(49) = 2.329, p < .05, then you know that.
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The test statistic z locates a sample mean on a distribution.
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If the alternative hypothesis is true and H0 is not rejected, then.
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If the results of a study using the one-sample t test were summarized t(14) = 3.218, p < .01, then you would know that the probability of tobs if H0 is true is and that the difference between X and μ is. 

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Suppose a non-directional z test was performed and the null hypothesis rejected with a significance level of .05. Which one of the following could have been the value of zobs in the statistical test?
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For a parametric test a statistical hypothesis is a statement about.
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If the result of a statistical test is reported as p < .05, then it indicates that the investigator .
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The theoretical sampling distribution of t varies with the.
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If zobs equals -.50 and zcrit equals plus or minus 1.96, then a statistical decision is to.
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A statistical test that locates rejection regions at both ends of the sampling distribution is called a test.
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If tobs does not fall into a rejection region, then which of the following is true?
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Which of the following could be an appropriate alternative hypothesis for a statistical test concerning the mean income of 17-year old males?
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