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 inflection point in the normal curve is _____________ from the mean.
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What are standard scores? How are they calculated? Why are they useful?
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In a multifactor analysis of variance, how the variables affect one another is called
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The power of a test is the probability of rejecting the null hypothesis when it is actually true.
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Describe three ways that statistics can be misused to create a false impression.
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If the null hypothesis is true, alpha equals the type I error probability.
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The variance of a distribution is defined as the sum of the squared deviations from the mean divided by the number of scores.
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It is impossible to prove the alternative hypothesis to be true.
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Two-tailed tests are more liberal and less powerful than one?tailed tests.
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What is the difference between parametric and nonparametric tests? Give two examples of each type.
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If a person's score is part of a normal distribution of scores, we can determine the relative rank of that score if we know
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Inferential statistics allow you to decide whether a difference between the experimental and the control group is due to _______________ or ________________.
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The degrees of freedom equals the number of scores that are free to vary minus one.
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Characteristics of a population of scores are called parameters, while characteristics of a sample of scores drawn from a larger population are called statistics.
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