Exam 4: Variability
Exam 1: Introduction to Statistics70 Questions
Exam 2: Frequency Distributions70 Questions
Exam 3: Central Tendency70 Questions
Exam 4: Variability70 Questions
Exam 5: Z-Scores40 Questions
Exam 6: Probability69 Questions
Exam 7: The Distribution of Sample Means69 Questions
Exam 8: Introduction to Hypothesis Testing69 Questions
Exam 9: Introduction to the T Statistic68 Questions
Exam 10: The T Test for Two Independent Samples70 Questions
Exam 11: The T Test for Two Related Samples69 Questions
Exam 12: Introduction to Analysis of Variance70 Questions
Exam 13: Repeated-Measures Anova70 Questions
Exam 14: Two-Factor Analysis of Variance70 Questions
Exam 15: Correlation70 Questions
Exam 16: Introduction to Regression70 Questions
Exam 17: Chi-Square Tests70 Questions
Exam 18: The Binomial Test70 Questions
Exam 19: Choosing the Right Statistics4 Questions
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Which of the following symbols identifies the sample variance?
(Multiple Choice)
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The sum of the squared deviation scores is SS = 20 for a sample of n = 5 scores.What is the variance for this sample?
(Multiple Choice)
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If the population variance is 4, then the standard deviation will be σ = 16.
(True/False)
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A population of scores has µ = 50 and σ = 5.If every score in the population is multiplied by 3, then what are the new values for the mean and standard deviation?
(Multiple Choice)
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A positive deviation always indicates a score that is less than the mean.
(True/False)
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A sample of n = 5 scores has ΣX = 20 and ΣX2 = 120.For this sample, what is the value of SS?
(Multiple Choice)
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For a population of N = 4 scores with X = 10 and X2 = 30, SS = 5.
(True/False)
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Which of the following symbols identifies the population standard deviation?
(Multiple Choice)
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