Exam 13: Students T Test for Single Samples
Exam 1: Statistics and Scientific Method102 Questions
Exam 2: Basic Mathematical and Measurement Concepts110 Questions
Exam 3: Frequency Distributions116 Questions
Exam 4: Measures of Central Tendency and Variability125 Questions
Exam 5: The Normal Curve and Standard Scores105 Questions
Exam 6: Correlation139 Questions
Exam 7: Linear Regression101 Questions
Exam 8: Random Sampling and Probability123 Questions
Exam 9: Binomial Distribution121 Questions
Exam 10: Introduction to Hypothesis Testing: Using the Sign Test141 Questions
Exam 11: Power103 Questions
Exam 12: Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test135 Questions
Exam 13: Students T Test for Single Samples121 Questions
Exam 15: Introduction to the Analysis of Variance218 Questions
Exam 16: Introduction to the Two-Way Analysis of Variance115 Questions
Exam 17: Chi-Square and Other Nonparametric Tests170 Questions
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If we conclude that there is a significant correlation in the population we may be making a Type I error.
(True/False)
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Assume that you have just calculated the correlation coefficient from an experiment with N = 16 pairs of observations. The value of r obt is 0.493. 
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The 95% confidence interval of the mean for
= 13.0, s = 1.6, and N = 21 is _________.
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The average growth per day of a certain type lawn seed using standard fertilizer is 2.6 inches per week. You wish to test the effects of a fertilizer on growth rate. You add fertilizer to several different patches of grass grown from that seed and observe the following results: 
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Which of the characteristics below distinguishes the t statistic from the z statistic?
(Multiple Choice)
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What are the critical values of t for each of the following values of N and alpha using a nondirectional hypothesis?

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One of the undergraduate advisors at a state university wants to estimate the average number of hours freshman business majors at her school spend studying each week. He randomly samples 25 freshman business majors from the freshman business majors attending that semester and measures how many hours each spends studying for a three week period. She then averages the results. The results show a mean of 24 hrs/week and a standard deviation of 4.6 hrs/week. 
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If the population parameters are known, the t test is _________ powerful than the z test.
(Multiple Choice)
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With which statistical test do we determine the probability of getting the obtained results or those more extreme assuming the differences in results were due to chance alone?
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