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If the population variance is 5,then the population standard deviation is σ = 25.​

A) True
B) False

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Given a population of N scores,the sum of the deviation scores is equal to N.​

A) True
B) False

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A sample of n = 9 scores has a variance of s2 = 144.What is the standard deviation for this sample?​


A) ​s=19
B) ​s=12
C) ​s=16
D) ​s=14

E) B) and C)
F) A) and D)

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B

Which of the following symbols identifies the population standard deviation?​


A) ​s
B) ​s2
C) ​σ
D) ​σ2

E) C) and D)
F) A) and B)

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A sample with a variance of 25 has a standard deviation equal to 5 points.​

A) True
B) False

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What are the values for SS (sum of squared deviations) and variance for the following sample of n = 4 scores? Sample: 1,1,0,4​


A) ​SS = 9 and variance = 3
B) ​SS = 9 and variance = 2.25
C) ​SS = 18 and variance = 6
D) ​SS = 18 and variance = 9

E) A) and C)
F) None of the above

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For a population,a deviation score is computed as X - μ.​

A) True
B) False

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In a population with a mean of μ = 40 and a standard deviation of σ = 8,a score of X = 46 would be an extreme value,far out in the tail of the distribution.​

A) True
B) False

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False

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

A) True
B) False

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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.​

A) True
B) False

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A population with SS = 90 and a variance of 9 has N = 10 scores.​

A) True
B) False

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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?​


A) ​4
B) ​5
C) ​80
D) ​100

E) C) and D)
F) A) and C)

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Using the definitional formula,compute SS,variance and the standard deviation for the following sample of scores.​Scores: 3,6,1,6,5,3

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SS = 20; s...

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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.​

A) True
B) False

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A sample of n = 5 scores has ΣX = 20 and ΣX2 = 180.For this sample,what is the value of the sample standard deviation,s?​


A) 5​
B) 8
C) 12
D) 20

E) All of the above
F) A) and C)

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Without some correction,sample variability is said to be "biased." Define the term biased,and explain how this bias is corrected in the formula for sample variance.​

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Without some correction,sample variability,on average,tends to be smaller than the population variability.Whenever the average value of a statistic underestimates (or overestimates)the corresponding population parameter,the statistic is said to be biased.The bias in sample variability is corrected by dividing the sum of squared deviations (SS)by n - 1 (instead of n)in the formula for sample variance.​

For a particular sample of size n=10,the largest distance (deviation) between a score and the mean is 11 points.The smallest distance between a score and the mean is 4 points.Therefore,the standard deviation will be ____.​


A) ​less than 4
B) ​between 4 and 11
C) ​greater than 11
D) ​equal to 0

E) B) and C)
F) A) and D)

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For each of the following samples: Sample #1: 1,0,3,6Sample #2: 1,3,5,4,7 a. Compute the mean. b. Determine whether it would be better to use the computational or the definitional formula for SS. c. Compute the SS.

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a.For sample #1,M = 2.5.For sa...

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There is a six-point difference between two sample means.If the two samples have the same variance,then which of the following values for the variance would make the mean difference easiest to see in a graph showing the two distributions.​


A) ​s2 = 2
B) ​s2 = 8
C) ​s2 = 16
D) ​s2 = 64

E) None of the above
F) B) and D)

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If sample variance is computed by dividing SS by df = n - 1,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

E) B) and C)
F) None of the above

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