Question 1

As the sample size increases the probability increases that the population parameter is more closely estimated by the statistic; thus, the estimator is.

Accepted Answer

A)  unbiased
B)  biased
C)  consistent
D)  inconsistent

Question 2

A researcher can expect to obtain more accurate estimates of population parameters with random samples from populations in which the variability in scores to be sampled is .

Accepted Answer

A)  large; large
B)  small; small
C)  large; small
D)  small; large

Question 3

If each member of a population has an equal chance of being selected for a sample and the selection of one member of the population is independent of the selection of another member, then the method of sampling is sampling.

Accepted Answer

A)  stratified random
B)  diversified non-random
C)  simple random
D)  consistent random

Question 4

Which of the following statements is true?

Accepted Answer

A)  The larger the sample size, the larger the variance.
B)  The higher the confidence level, the smaller the confidence interval.
C)  The smaller the sample size, the smaller the confidence interval.
D)  The larger the sample size, the smaller the standard error. D

Question 5

Which of the following considerations influences how well a statistic estimates a parameter?

Accepted Answer

A)  The sampling method used.
B)  The size of the sample.
C)  The variability of scores in the population.
D)  All the above.

Question 6

A theoretical probability distribution of values of a statistic resulting from selecting all possible samples of size N from a population is called a distribution of that statistic.

Accepted Answer

A)  simple
B)  sampling
C)  relative frequency
D)  normal

Question 7

A frequency distribution of sample means obtained by actually selecting samples from a population and then computing the means of those samples is called a(n)  sampling distribution of the mean.

Accepted Answer

A)  random
B)  empirical
C)  theoretical
D)  actual

Question 8

If s = 10 and s X = 2, then N must be equal to.

Accepted Answer

A)  20
B)  25
C)  5
D)  cannot determine from the

Question 9

Sampling error

Accepted Answer

A)   mistakes made in selecting a sample of subjects
B)   the difference  Xˉ−μ\bar { X } - \muXˉ−μ 
C)   the difference  X−XˉX - \bar { X }X−Xˉ 
D)   the difference  μXˉ−μ\mu _ { \bar { X } } - \muμXˉ​−μ  refers to.

Question 10

Suppose you have a statistic such that, as the sample size becomes larger, the probability that the statistic comes closer to the parameter it estimates does not increase. This statistic is estimator.

Accepted Answer

A)  not a consistent
B)  a biased
C)  an unbiased
D)  a consistent

Question 11

The estimated standard error of the mean, s X

Accepted Answer

A)    s2/Ns ^ { 2 } / Ns2/N 
B)    s/Ns / \sqrt { N }s/Nc-2.7,0,-7.17,-2.7,-13.5,-8c-5.8,-5.3,-9.5,-10,-9.5,-14c0,-2,0.3,-3.3,1,-4c1.3,-2.7,23.83,-20.7,67.5,-54c44.2,-33.3,65.8,-50.3,66.5,-51c1.3,-1.3,3,-2,5,-2c4.7,0,8.7,3.3,12,10s173,378,173,378c0.7,0,35.3,-71,104,-213c68.7,-142,137.5,-285,206.5,-429c69,-144,104.5,-217.7,106.5,-221l0 -0c5.3,-9.3,12,-14,20,-14H400000v40H845.2724s-225.272,467,-225.272,467s-235,486,-235,486c-2.7,4.7,-9,7,-19,7c-6,0,-10,-1,-12,-3s-194,-422,-194,-422s-65,47,-65,47zM834 80h400000v40h-400000z'/>​ 
C)    s/Ns / Ns/N 
D)    s2/Ns ^ { 2 } / \sqrt { N }s2/Nc-2.7,0,-7.17,-2.7,-13.5,-8c-5.8,-5.3,-9.5,-10,-9.5,-14c0,-2,0.3,-3.3,1,-4c1.3,-2.7,23.83,-20.7,67.5,-54c44.2,-33.3,65.8,-50.3,66.5,-51c1.3,-1.3,3,-2,5,-2c4.7,0,8.7,3.3,12,10s173,378,173,378c0.7,0,35.3,-71,104,-213c68.7,-142,137.5,-285,206.5,-429c69,-144,104.5,-217.7,106.5,-221l0 -0c5.3,-9.3,12,-14,20,-14H400000v40H845.2724s-225.272,467,-225.272,467s-235,486,-235,486c-2.7,4.7,-9,7,-19,7c-6,0,-10,-1,-12,-3s-194,-422,-194,-422s-65,47,-65,47zM834 80h400000v40h-400000z'/>​   B

Question 12

A standard error of the mean is a standard deviation of a.

Accepted Answer

A)  population
B)  sample
C)  population parameter
D)  sampling distribution of the mean D

Question 13

If an estimator is consistent, more accurate estimates of population parameters will be obtained from samples that are.

Accepted Answer

A)  smaller
B)  symmetrical
C)  unimodal
D)  larger

Question 14

A sampling distribution of the mean can be described in terms of its.

Accepted Answer

A)  shape
B)  mean
C)  standard deviation
D)  all the above

Question 15

To obtain accurate estimates of a parameter, a sample should be.

Accepted Answer

A)  inconsistent
B)  representative of the population
C)  simply selected
D)  non-representative of the population

Question 16

The value of s X is affected by the size of the sample and the.

Accepted Answer

A)  mean of scores in the sample
B)  mean of the population
C)  variance of the population
D)  shape of the frequency distribution

Question 17

You can be about percent confident that an interval that includes the values between one standard error below the sample mean and one standard error above the sample mean will include the population mean.

Accepted Answer

A)  34
B)  68
C)  95
D)  99

Question 18

The the variation in the population and the the sample size, then the larger the estimated standard error.

Accepted Answer

A)  less; larger
B)  more; larger
C)  more; smaller
D)  less; smaller

Question 19

An interval in which we can have a specified confidence that the interval includes μ is called a(n) .

Accepted Answer

A)  confidence limit
B)  estimation interval
C)  confidence point
D)  confidence interval

Question 20

As sample size increases, a sampling distribution of the mean will approximate a normal distribution, regardless of the shape of the distribution of scores in the population. This characteristic of the sampling distribution of the mean is stated in the.

Accepted Answer

A)  principle of normalcy
B)  principle of empiricism
C)  central limit theorem
D)  independence theorem

Exam 7: Understanding Data: Using Statistics for Inference and Estimation

As the sample size increases the probability increases that the population parameter is more closely estimated by the statistic; thus, the estimator is.

Correct AnswerverifiedShow Answer

A researcher can expect to obtain more accurate estimates of population parameters with random samples from populations in which the variability in scores to be sampled is .

Correct AnswerverifiedShow Answer

If each member of a population has an equal chance of being selected for a sample and the selection of one member of the population is independent of the selection of another member, then the method of sampling is sampling.

Correct AnswerverifiedShow Answer

Which of the following statements is true?

Correct AnswerverifiedD

Which of the following considerations influences how well a statistic estimates a parameter?

Correct AnswerverifiedShow Answer

A theoretical probability distribution of values of a statistic resulting from selecting all possible samples of size N from a population is called a distribution of that statistic.

Correct AnswerverifiedShow Answer

A frequency distribution of sample means obtained by actually selecting samples from a population and then computing the means of those samples is called a(n) sampling distribution of the mean.

Correct AnswerverifiedShow Answer

If s = 10 and s X = 2, then N must be equal to.

Correct AnswerverifiedShow Answer

Sampling error

Correct AnswerverifiedShow Answer

Suppose you have a statistic such that, as the sample size becomes larger, the probability that the statistic comes closer to the parameter it estimates does not increase. This statistic is estimator.

Correct AnswerverifiedShow Answer

The estimated standard error of the mean, s X

Correct AnswerverifiedB

A standard error of the mean is a standard deviation of a.

Correct AnswerverifiedD

If an estimator is consistent, more accurate estimates of population parameters will be obtained from samples that are.

Correct AnswerverifiedShow Answer

A sampling distribution of the mean can be described in terms of its.

Correct AnswerverifiedShow Answer

To obtain accurate estimates of a parameter, a sample should be.

Correct AnswerverifiedShow Answer

The value of s X is affected by the size of the sample and the.

Correct AnswerverifiedShow Answer

You can be about percent confident that an interval that includes the values between one standard error below the sample mean and one standard error above the sample mean will include the population mean.

Correct AnswerverifiedShow Answer

The the variation in the population and the the sample size, then the larger the estimated standard error.

Correct AnswerverifiedShow Answer

An interval in which we can have a specified confidence that the interval includes μ is called a(n) .

Correct AnswerverifiedShow Answer

As sample size increases, a sampling distribution of the mean will approximate a normal distribution, regardless of the shape of the distribution of scores in the population. This characteristic of the sampling distribution of the mean is stated in the.

Correct AnswerverifiedShow Answer

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D

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The estimated standard error of the mean, s X $The estimated standard error of the mean, s X A) s ^ { 2 } / N B) s / \sqrt { N } C) s / N D) s ^ { 2 } / \sqrt { N }$

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