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A population has µ = 50 and σ = 5.If 10 points are added to every score in the population, then what are the new values for the mean and standard deviation?


A) µ = 50 and σ = 5
B) µ = 50 and σ = 15
C) µ = 60 and σ = 5
D) µ = 60 and σ = 15

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A sample of n = 7 scores has SS = 42.The variance for this sample is s2 = 6.

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A population of N = 6 scores has ΣX = 12 and ΣX2 = 54.What is the value of SS for this population?


A) 5
B) 9
C) 30
D) 54

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Which of the following is true for most distributions?


A) Around 30% of the scores will be located within one standard deviation of the mean.
B) Around 50% of the scores will be located within one standard deviation of the mean.
C) Around 70% of the scores will be located within one standard deviation of the mean.
D) Around 90% of the scores will be located within one standard deviation of the mean.

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A population has SS= 100 and σ\sigma 2 = 4.What is the value of \sum (X - μ\mu ) for the population?


A) 0
B) 25
C) 100
D) 400

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A population of N = 5 scores has SS = 20 and σ2 = 4.If the 5 scores were a sample, the value of SS would still be 20 but the variance would be s2 = 5.

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The smallest score in a population is X = 5 and the largest score is X = 10.Based on this information, you can conclude that ______.


A) the population mean is somewhere between 5 and 10.
B) the population standard deviation is smaller than 6.
C) the population mean is between 5 and 10, and the standard deviation is less than 6.
D) None of the other choices is correct.

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What are the values for SS and variance for the following sample of n = 3 scores? Sample: 1, 4, 7


A) SS = 18 and variance = 6
B) SS = 18 and variance = 9
C) SS = 66 and variance = 22
D) SS = 66 and variance = 33

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After a researcher adds 5 points to every score in a sample, the standard deviation is found to be s = 10.The original sample had a standard deviation of s = 5.

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A set of 10 scores has SS = 90.If the scores are a sample, the sample variance is ____ and if the scores are a population, the population variance is ____.


A) s2 = 9, σ2 = 9
B) s2 = 9, σ2 = 10
C) s2 = 10, σ2 = 9
D) s2 = 10, σ2 = 10

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A sample of n = 25 scores has M = 20 and s2 = 9.What is the sample standard deviation?


A) 3
B) 4.5
C) 9
D) 81

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If sample variance is computed by dividing SS by n, then the average value of the sample variances from all the possible random samples will be _______ the population variance.


A) smaller than
B) larger than
C) exactly equal to
D) unrelated to

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A sample with SS = 40 and a variance of 8 has n = 5 scores.

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A population has SS= 100 and σ\sigma 2 = 4.How many scores are in the population?


A) 25
B) 26
C) 200
D) 400

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A sample of n = 25 scores is selected from a population with a variance of σ2 = 16.The sample variance probably will be smaller than 16.

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The range and the standard deviation, are both measures of distance.

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The value for SS is always greater than or equal to zero.

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After a researcher multiplies every score in a sample by 2, the standard deviation is found to be s = 10.The original sample had a standard deviation of s = 5.

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What is the variance for the following population of scores? Scores: 5, 2, 5, 4


A) 6
B) 2
C) 1.5
D) 1.22

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A sample of n = 8 scores has SS = 50.If these same scores were a population, then the SS value for the population would be _____.


A) 50
B) greater than 50
C) less than 50
D) impossible to determine without additional information

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