Exam 8: Hypothesis Testing: Inferences About a Single Mean
Exam 1: Introduction and Mathematical Preliminaries146 Questions
Exam 2: Frequency and Probability Distributions150 Questions
Exam 4: Percentiles percentile Ranks standard Scores and the Normal Distribution176 Questions
Exam 5: Pearson Correlation and Regression: Descriptive Aspects152 Questions
Exam 3: Measures of Central Tendency and Variability154 Questions
Exam 7: Estimation and Sampling Distributions151 Questions
Exam 8: Hypothesis Testing: Inferences About a Single Mean160 Questions
Exam 6: Probability149 Questions
Exam 9: Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships150 Questions
Exam 10: Independent Groups T -Test149 Questions
Exam 13: One-Way Repeated Measures Analysis of Variance140 Questions
Exam 14: Pearson Correlation and Regression: Inferential Aspects143 Questions
Exam 15: Chi-Square Test145 Questions
Exam 16: Nonparametric Statistics135 Questions
Exam 17: Two-Way Between-Subjects Analysis of Variance117 Questions
Exam 18: Overview and Extension: Statistical Tests for More Complex Designs124 Questions
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Traditionally,_____ is the probability associated with alpha.
(Multiple Choice)
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Assume that you are comparing a sample value to a population value of 75.The non-directional alternative hypothesis would be stated as ____________________.
(Short Answer)
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The p value reported in APA manuscripts is commonly referred to as _____.
(Multiple Choice)
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The one-sample t-test is robust to violations against which of the following assumptions?
(Multiple Choice)
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The _____ the sample size,the _____ the statistical test will be,everything else being equal.
(Multiple Choice)
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When the sample size is less than 40,the z and the t distributions are almost identical.
(True/False)
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A researcher in sports psychology is interested in the resting pulse rate of long-distance college runners.She does some research and finds data from the U.S.Olympics team showing their long-distance runners have a resting pulse rate of 60 beats per minute.She wants to know if the pulse rate for college runners is different from the Olympic team's m of 60.She randomly samples 20 long-distance runners,and finds
What is the estimated standard error of the mean?

(Multiple Choice)
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A group of 200 students takes the Kaplan course in hopes that it will improve their SAT scores above the national mean of 500 on the math section.The population standard deviation of the SAT is known to be 100.Use an alpha level of .05 when answering the following questions.What conclusions can be made,based on this test statistic?
(Multiple Choice)
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Increasing alpha can increase power,however the trade-off is that ____________________.is also increased.
(Short Answer)
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The set of all standard scores more extreme than the critical values is called a rejection region and constitutes an unexpected result.
(True/False)
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Which of the following describes a typical null hypothesis?
(Multiple Choice)
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When we say that a test is _____ to violations of a distributional assumption,we mean that the frequency of Type I and Type II errors,and,thus,the accuracy of our conclusions,are relatively unaffected as compared to when the assumption is met.
(Multiple Choice)
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A researcher in sports psychology is interested in the resting pulse rate of long-distance college runners.She does some research and finds data from the U.S.Olympics team showing their long-distance runners have a resting pulse rate of 60 beats per minute.She wants to know if the pulse rate for college runners is different from the Olympic team's m of 60.She randomly samples 20 long-distance runners,and finds
Using a nondirectional test with a = .05,what are your critical values?

(Multiple Choice)
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When the alpha level is .05,a result is defined as being "unexpected" if the probability of obtaining that result,assuming the null hypothesis is true,is:
(Multiple Choice)
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If you fail to reject the H0 when H0 is false then you made a _____ with a probability equal to ______.
(Multiple Choice)
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The alpha level reflects the probability of making a Type II error.
(True/False)
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