Exam 6: Making Sense of Statistical Significance:decision Errors, Effect Size, and Statistical Power
Exam 1: Displaying the Order in a Group of Numbers68 Questions
Exam 2: Central Tendency and Variability69 Questions
Exam 3: Some Key Ingredients for Inferential Statistics: Z Scores,the Normal Curve, Sample Versus Population, and Probability73 Questions
Exam 4: Introduction to Hypothesis Testing71 Questions
Exam 5: Hypothesis Tests With Means of Samples71 Questions
Exam 6: Making Sense of Statistical Significance:decision Errors, Effect Size, and Statistical Power69 Questions
Exam 7: Introduction to T Tests: Single Sample and Dependent Means72 Questions
Exam 8: The T Test for Independent Means72 Questions
Exam 9: Introduction to the Analysis of Variance84 Questions
Exam 10: Factorial Analysis of Variance70 Questions
Exam 11: Correlation71 Questions
Exam 12: Prediction73 Questions
Exam 13: Chi-Square Tests71 Questions
Exam 14: Strategies When Population Distributions Are Not Normal: Data Transformations and Rank-Order Tests71 Questions
Exam 15: The General Linear Model and Making Sense of Advanced Statistical Procedures in Research Articles64 Questions
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A way to increase effect size is to change the procedures of a study so that the __________ of the population is decreased.
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(Short Answer)
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Correct Answer:
standard deviation
Effect size is an important tool for making sense of research results because it
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(Multiple Choice)
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B
When the known and comparison populations overlap by 85%,the effect size is __________.
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small; .2
The degree of separation between populations due to the independent variable is one way of understanding __________.
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Setting the significance level at .20 increases the chance of
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An organizational psychologist conducted a study to see whether upgrading a company's older computer system to newly released,faster machines would cause an increase in productivity from the current average of 120 units with a standard deviation of 20.The new system will be tested in a single department with 45 employees.The company has decided that an increase of less than 10 units will not justify purchasing the new system.
a.What is the predicted effect size for an increase of 10 points?
b.Explain the logic of what has been done.
c.Advanced topic: Sketch the distributions involved.
d.Advanced topic: If the data are analyzed at the .01 significance level,what will be the power of the study?
e.Advanced topic: Explain your answer to a person who understands hypothesis testing with means of samples,but who is not familiar with power.
(Essay)
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Using the .01 level of significance instead of the .05 level increases the chance of making a(n)__________.
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While no research hypothesis is ever definitely false,failing to reject the null hypothesis in a study that has a high level of power allows one to
(Multiple Choice)
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If a study conducted at the .05 significance level has 80% power
(Multiple Choice)
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The statistical method currently used to combine the results of multiple studies is
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A statistic that combines two of the main influences on power,the expected difference between populations and the population standard deviation,is __________.
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According to Cohen,a good general rule for when it is worthwhile to conduct a study is when power is at least __________%.
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The smaller the population standard deviation,the greater the power,because the distributions of means based on the known and comparison populations are both __________.
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The effect size of a study is a good indicator of its practical importance because,unlike statistical significance,it is not affected by __________.
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If an experimenter CANNOT manipulate the effect size of an experiment to increase power,the aspect of a study that can usually be changed easily to increase power is
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In actual practice,the usual reason for determining power before conducting a study is
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