Exam 10: The Hypothesis of Difference
Exam 1: Introduction to Statistics24 Questions
Exam 2: Percentages, Graphs and Measures of Central Tendency69 Questions
Exam 3: Measures of Variability99 Questions
Exam 4: The Normal Curve and Z Score115 Questions
Exam 5: Z Scores, T Scores and Other Normal Curve Transformations110 Questions
Exam 6: Probability76 Questions
Exam 7: Statistics and Parameters92 Questions
Exam 8: Parameter Estimates129 Questions
Exam 9: The Fundamentals of Research Methodology173 Questions
Exam 10: The Hypothesis of Difference130 Questions
Exam 11: The Hypothesis of Association: Correlation131 Questions
Exam 12: Analysis of Variance108 Questions
Exam 13: Nominal Categorical Data and the Chi Square89 Questions
Exam 14: Regression Analysis122 Questions
Exam 15: Repeated-Measures and Matched-Subjects Designs Interval Data113 Questions
Exam 16: Non-Parametrics Revisited: the Ordinal Case113 Questions
Exam 17: Tests and Measurements69 Questions
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When there is a significant difference in the population, then a powerful statistical test is likely to detect that difference.
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For the independent t test, the null hypothesis states that the samples
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Whenever the distribution of differences is normally shaped, and all its assumptions are met, then
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When the two sample means are equal, the t ratio will always lead to an accept of the null hypothesis.
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When a difference is said to be "significant", it means that the difference probably
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The estimated standard error of difference is an estimate of
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As was true for the z test, the t ratio assumes that all the parameter values are known.
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A group of 20 violent drug abusers, all of whom had committed homicide while under the influence of a psychostimulant, was selected from the population of a certain prison. Half the men had been cocaine abusers while the other half had been on methamphetamines. All were abstinent at the time of testing. The men were tested on the CAQ (Clinical Analysis Questionnaire) and their Factor Q1 scores were compared (Factor Q1 includes Radicalism, Hypochondriasis and Boredom & Withdrawal). Their scores, converted to T scores, were as follows: Cocaine Group: 65,58,65,62,60,61,70,71,68,75. Methamphetamine Group: 60,53,52,55,54,59,62,60,60,56
-Find the means for each group.
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A researcher selects a pair of random samples. In Group 1 the scores are 20, 14, 16, 18, 16, 15, 14. In Group 2 the scores are 23, 20, 21, 24, 18, 22, 24, 22, 20, 20. Find the standard error of difference.
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