Exam 17: Statistical Reasoning: An Introduction
Exam 1: Explanation in Scientific Psychology53 Questions
Exam 2: Research Techniques: Observation and Correlation64 Questions
Exam 3: Research Techniques: Experiments63 Questions
Exam 4: Ethics in Psychological Research42 Questions
Exam 5: How to Read and Write Research Reports74 Questions
Exam 6: Psychophysics73 Questions
Exam 7: Perception68 Questions
Exam 8: Attention and Reaction Time65 Questions
Exam 9: Learning and Conditioning77 Questions
Exam 10: Remembering and Forgetting75 Questions
Exam 11: Thinking and Problem Solving76 Questions
Exam 12: Individual Differences and Development82 Questions
Exam 13: Social Psychology75 Questions
Exam 14: Environmental Psychology53 Questions
Exam 15: Human Factors67 Questions
Exam 16: Experimental Psychology: A Historical Sketch55 Questions
Exam 17: Statistical Reasoning: An Introduction71 Questions
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The larger the sample, the more we can trust the sample ___________ to be an estimate of the population ___________.
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The Pearson product?moment correlation coefficient is referred to as
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If the null hypothesis is true, F should be 1.0. If the null hypothesis is false, F should be greater than 1.0. However, sometimes Fs less than 1.0 are observed. Explain the logic behind the F test and how Fs less than 1.0 can be obtained.
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In describing an array of data, psychologists typically present two descriptive statistics, the mean and the variance.
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The standard error of the mean is the standard deviation of a distribution of sample means.
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As the level of significance is changed from .01 to .05, the probability of making a type I error increases and the probability of making a type II error decreases.
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In hypothesis testing, both the magnitude of the difference and the direction of the difference between two groups are considered in
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The standard error of the mean increases with increasing sample size.
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The null hypothesis suggests that the two samples come from ___________ distribution(s), and the experimental hypothesis suggests that the two samples come from _____________ distribution(s).
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What is the difference between inferential statistics and descriptive statistics? Give two examples of each type.
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What is power? What are the factors that influence the power of a statistical test?
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Which of the following is the most useful descriptive statistic for measuring dispersion?
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In comparison with a confidence level of 0.05, a confidence level of 0.01 means
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The ________________ is the sum of all the scores divided by the number of scores.
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The median is often used because it is insensitive to extreme scores.
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Discuss the various measures of dispersion (i.e., absolute mean deviation, variance, and standard deviation). Which of them do you think is the most useful? Why?
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