Exam 11: Power
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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Assume you have N = 15, a = 0.051 tail, and applied the sign test to the data. 

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If one conducts an experiment and ends up retaining H 0 , it is probably because the experiment was not powerful enough.
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In an experiment the calculated power to detect an effect is .4600. What is the value for beta?
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In an experiment where we retain H 0 , one cannot be certain if it was because H 0 was true or that the experiment was not powerful enough to detect an effect by the independent variable.
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In an experiment with N = 6 and P real = 0.15, what is the power using a = 0.012 tail?
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A power analysis is useful when the results of an experiment fail to reach significance.
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In an experiment with N = 14 and P real = 0.10, what is the power using a = 0.052 tail?
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Increasing N affects the magnitude of the effect of the independent variable.
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Power is the probability of making a correct decision when H 0 is true.
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Increasing N , making a more stringent, and increasing the effect of the independent variable, all increase power.
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A professor thinks that a certain movie is fun and exciting for students. He selects heart rate (HR) measured before and after the movie as the dependent variable for a study on 12 students. He figures if the students are having fun and are excited, the heart rate will be higher right after the movie. The following data have been obtained.



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Power is a measure of the sensitivity of an experiment to detect the real effects of the independent variable, if there are any.
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