Exam 5: Z-Scores: Location of Scores and Standardized Distributions
Exam 1: Introduction to Statistics76 Questions
Exam 2: Frequency Distributions74 Questions
Exam 3: Central Tendency75 Questions
Exam 4: Variability75 Questions
Exam 5: Z-Scores: Location of Scores and Standardized Distributions77 Questions
Exam 6: Probability76 Questions
Exam 7: Probability and Samples: the Distribution of Sample Means77 Questions
Exam 8: Introduction to Hypothesis Testing76 Questions
Exam 9: Introduction to the T Statistic74 Questions
Exam 10: The T Test for Two Independent Samples75 Questions
Exam 11: The T Test for Two Related Samples76 Questions
Exam 12: Introduction to Analysis of Variance74 Questions
Exam 13: Repeated-Measures Analysis of Variance Anova75 Questions
Exam 14: Two-Factor Analysis of Variance Independent Measures75 Questions
Exam 15: Correlation76 Questions
Exam 16: Introduction to Regression75 Questions
Exam 17: The Chi-Square Statistic: Tests for Goodness of Fit and Independence75 Questions
Exam 18: The Binomial Test75 Questions
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For a sample with a standard deviation of s = 8,a score of X = 42 corresponds to z = -0.25.The mean for the sample is M = 40.
(True/False)
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In a sample with s = 6,a score of X = 53 corresponds to z = -0.50.The mean for this sample is M = 50.
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On a psychology exam with µ = 76 and σ = 12,Tom scored 9 points below the mean,Mary had a score of X = 70,and Bill had a z-score of z = -1.00.Place these three students in order from lowest to highest score.____: Student with lowest score____: Student with middle score____: Student with highest score
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For a sample of n = 30 scores,X = 45 corresponds to z = 1.50 and X = 40 corresponds to z = +1.00.What are the values for the sample mean and standard deviation?
(Multiple Choice)
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A population with µ = 85 and s = 12 is transformed into z-scores.After the transformation,what is the standard deviation for the population of z-scores?
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A score with a value less than or equal to the mean will have a z-score that is less than or equal to zero.
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In a distribution with s = 20,a score that is above the mean by 10 points will have a z-score of z = 0.50.
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You have a score of X = 65 on an exam.Which set of parameters would give you the best grade on the exam?
(Multiple Choice)
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For a population with µ = 80 and σ = 6,what is the z-score corresponding to X = 68?
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Under what circumstances is a score that is 15 points above the mean an extreme score relatively far from the mean?
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Because all z-score distributions have the same mean and standard deviation,the z-score distribution is called a standardized distribution.
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In a population with σ = 8,a score of X = 44 corresponds to a z-score of z = -0.50.What is the population mean?
(Multiple Choice)
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A population with μ = 59 and s = 8 is standardized to create a new distribution with μ = 100 and s = 20.After the transformation,an individual receives a new score of X = 90.The original score for this individual was X = 51.
(True/False)
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A population of scores with µ = 73 and s = 20 is standardized to create a new population with µ = 50 and s = 10.What is the new value for each of the following scores from the original population?Scores: 63,65,77,83
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For a population with a standard deviation of s = 12,a z-score of z = +0.50 corresponds to a score that is above the mean by 6 points.
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The process of transforming every x value in a distribution into a corresponding z-score to create a distribution of z-scores is called a z-score transformation.
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In a sample of n = 40 scores,X = 31 corresponds to z = -1.50 and X = 39 corresponds to z = +0.50.The sample mean is M = 36.
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