Question 1

In computing the standard error of the mean, the finite population correction factor is NOT used when _____.

Accepted Answer

A)  n/N > 0.05 
B)  N/n ≤ 0.05 
C)  n/N ≤ 0.05 
D)  n ≥ 30 
A)  n/N > 0.05 
B)  N/n ≤ 0.05 
C)  n/N ≤ 0.05 
D)  n ≥ 30

Question 2

A probability sampling method in which we randomly select one of the first k elements and then select every kth element thereafter is _____.

Accepted Answer

A)  stratified random sampling 
B)  cluster sampling 
C)  systematic sampling 
D)  convenience sampling 
A)  stratified random sampling 
B)  cluster sampling 
C)  systematic sampling 
D)  convenience sampling

Question 3

A numerical measure from a population, such as a population mean, is called _____.

Accepted Answer

A)  a statistic 
B)  a parameter 
C)  a sample 
D)  the mean deviation 
A)  a statistic 
B)  a parameter 
C)  a sample 
D)  the mean deviation

Question 4

The population being studied is usually considered ______ if it involves an ongoing process that makes listing or counting every element in the population impossible.

Accepted Answer

A)  finite 
B)  infinite 
C)  skewed 
D)  symmetric 
A)  finite 
B)  infinite 
C)  skewed 
D)  symmetric

Question 5

Random samples of size 525 are taken from a process (an infinite population) whose population proportion is .3. The standard deviation of the sample proportions (i.e., the standard error of the proportion) is _____.

Accepted Answer

A)  .0004 
B)  .2100 
C)  .3000 
D)  .0200 
A)  .0004 
B)  .2100 
C)  .3000 
D)  .0200

Question 6

Whenever the population has a normal probability distribution, the sampling distribution of $\bar { X }$ is a normal probability distribution for _____.

Accepted Answer

A)  only large sample sizes 
B)  only small sample sizes 
C)  any sample size 
D)  only samples of size 30 or greater 
A)  only large sample sizes 
B)  only small sample sizes 
C)  any sample size 
D)  only samples of size 30 or greater

Question 7

The sample mean is the point estimator of _____.

Accepted Answer

A)  ? 
B)  ? 
C)  $\bar { x }$ 
D)  $\bar { p }$ 
A)  ? 
B)  ? 
C)  $\bar { x }$ 
D)  $\bar { p }$

Question 8

Excel's RAND function _____.

Accepted Answer

A)  determines sample size 
B)  selects a simple random sample 
C)  randomizes a population 
D)  generates random numbers 
A)  determines sample size 
B)  selects a simple random sample 
C)  randomizes a population 
D)  generates random numbers

Question 9

The probability distribution of all possible values of the sample proportion $\bar { p }$ is the _____.

Accepted Answer

A)  probability density function of $\bar { p }$ 
B)  sampling distribution of $\bar { x }$ 
C)  same as $\bar { p }$ , since it considers all possible values of the sample proportion 
D)  sampling distribution of $\bar { p }$ 
A)  probability density function of $\bar { p }$ 
B)  sampling distribution of $\bar { x }$ 
C)  same as $\bar { p }$ , since it considers all possible values of the sample proportion 
D)  sampling distribution of $\bar { p }$

Question 10

A numerical measure from a sample, such as a sample mean, is known as _____.

Accepted Answer

A)  a statistic 
B)  a parameter 
C)  the mean deviation 
D)  the central limit theorem 
A)  a statistic 
B)  a parameter 
C)  the mean deviation 
D)  the central limit theorem

Question 11

A single numerical value used as an estimate of a population parameter is known as a_____.

Accepted Answer

A)  parameter 
B)  population parameter 
C)  parameter or a population parameter 
D)  point estimate 
A)  parameter 
B)  population parameter 
C)  parameter or a population parameter 
D)  point estimate

Question 12

The number of random samples (without replacement) of size 3 that can be drawn from a population of size 5 is _____.

Accepted Answer

A)  15 
B)  10 
C)  20 
D)  125 
A)  15 
B)  10 
C)  20 
D)  125

Question 13

As the sample size becomes larger, the sampling distribution of the sample mean approaches a _____.

Accepted Answer

A)  binomial distribution 
B)  Poisson distribution 
C)  hypergeometric distribution 
D)  normal probability distribution 
A)  binomial distribution 
B)  Poisson distribution 
C)  hypergeometric distribution 
D)  normal probability distribution

Question 14

A simple random sample of 28 observations was taken from a large population. The sample mean equaled 50. Fifty is a _____.

Accepted Answer

A)  population parameter 
B)  point estimator 
C)  sample parameter 
D)  point estimate 
A)  population parameter 
B)  point estimator 
C)  sample parameter 
D)  point estimate

Question 15

The probability distribution of all possible values of the sample mean is called the ____.

Accepted Answer

A)  central probability distribution 
B)  sampling distribution of the sample mean 
C)  random variation 
D)  standard error 
A)  central probability distribution 
B)  sampling distribution of the sample mean 
C)  random variation 
D)  standard error

Question 16

Which of the following is a point estimator?

Accepted Answer

A)  ? 
B)  4 
C)  s 
D)  $\bar { x }$ 
A)  ? 
B)  4 
C)  s 
D)  $\bar { x }$

Question 17

The fact that the sampling distribution of the sample mean can be approximated by a normal probability distribution whenever the sample size is large is based on the _____.

Accepted Answer

A)  central limit theorem 
B)  fact that there are tables of areas for the normal distribution 
C)  assumption that the population has a normal distribution 
D)  normal probability theorem 
A)  central limit theorem 
B)  fact that there are tables of areas for the normal distribution 
C)  assumption that the population has a normal distribution 
D)  normal probability theorem

Question 18

Convenience sampling is an example of _____.

Accepted Answer

A)  probabilistic sampling 
B)  stratified sampling 
C)  a nonprobability sampling technique 
D)  cluster sampling 
A)  probabilistic sampling 
B)  stratified sampling 
C)  a nonprobability sampling technique 
D)  cluster sampling

Question 19

A probability distribution for all possible values of a sample statistic is known as a _____.

Accepted Answer

A)  sample statistic 
B)  parameter 
C)  simple random sample 
D)  sampling distribution 
A)  sample statistic 
B)  parameter 
C)  simple random sample 
D)  sampling distribution

Question 20

When the population has a normal distribution, the sampling distribution of $X$ is normally distributed _____.

Accepted Answer

A)  for any sample size 
B)  for any sample size of 30 or more 
C)  for any sample size of 50 or more 
D)  for any sample from a finite population 
A)  for any sample size 
B)  for any sample size of 30 or more 
C)  for any sample size of 50 or more 
D)  for any sample from a finite population

Exam 7: Sampling and Sampling Distributions

In computing the standard error of the mean, the finite population correction factor is NOT used when _____.

A probability sampling method in which we randomly select one of the first k elements and then select every kth element thereafter is _____.

A numerical measure from a population, such as a population mean, is called _____.

The population being studied is usually considered ______ if it involves an ongoing process that makes listing or counting every element in the population impossible.

Random samples of size 525 are taken from a process (an infinite population) whose population proportion is .3. The standard deviation of the sample proportions (i.e., the standard error of the proportion) is _____.

Whenever the population has a normal probability distribution, the sampling distribution of Xˉ\bar { X }Xˉ is a normal probability distribution for _____.

The sample mean is the point estimator of _____.

Excel's RAND function _____.

The probability distribution of all possible values of the sample proportion pˉ\bar { p }pˉ​ is the _____.

A numerical measure from a sample, such as a sample mean, is known as _____.

A single numerical value used as an estimate of a population parameter is known as a_____.

The number of random samples (without replacement) of size 3 that can be drawn from a population of size 5 is _____.

As the sample size becomes larger, the sampling distribution of the sample mean approaches a _____.

A simple random sample of 28 observations was taken from a large population. The sample mean equaled 50. Fifty is a _____.

The probability distribution of all possible values of the sample mean is called the ____.

Which of the following is a point estimator?

The fact that the sampling distribution of the sample mean can be approximated by a normal probability distribution whenever the sample size is large is based on the _____.

Convenience sampling is an example of _____.

A probability distribution for all possible values of a sample statistic is known as a _____.

When the population has a normal distribution, the sampling distribution of XXX is normally distributed _____.

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Tests of Goodness of Fit, Independence, and Multiple Proportions

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Decision Analysis

Sample Survey

Filters

Whenever the population has a normal probability distribution, the sampling distribution of $\bar { X }$ is a normal probability distribution for _____.

The probability distribution of all possible values of the sample proportion $\bar { p }$ is the _____.

When the population has a normal distribution, the sampling distribution of $X$ is normally distributed _____.