Question 1

Which of the following is an example of nonprobabilistic sampling?

Accepted Answer

A) simple random sampling 
B) stratified simple random sampling 
C) cluster sampling 
D) judgment sampling 
A) simple random sampling 
B) stratified simple random sampling 
C) cluster sampling 
D) judgment sampling

Question 2

Doubling the size of the sample will

Accepted Answer

A) reduce the standard error of the mean to one-half its current value 
B) reduce the standard error of the mean to approximately 70% of its current value 
C) have no effect on the standard error of the mean 
D) double the standard error of the mean 
A) reduce the standard error of the mean to one-half its current value 
B) reduce the standard error of the mean to approximately 70% of its current value 
C) have no effect on the standard error of the mean 
D) double the standard error of the mean

Question 3

A population of size 1,000 has a proportion of 0.5. Therefore, the proportion and the standard deviation of the sample proportion for samples of size 100 are

Accepted Answer

A) 500 and 0.047 
B) 500 and 0.050 
C) 0.5 and 0.047 
D) 0.5 and 0.050 
A) 500 and 0.047 
B) 500 and 0.050 
C) 0.5 and 0.047 
D) 0.5 and 0.050

Question 4

A simple random sample from an infinite population is a sample selected such that

Accepted Answer

A) each element is selected independently and from the same population 
B) each element has a 0.5 probability of being selected 
C) each element has a probability of at least 0.5 of being selected 
D) the probability of being selected changes 
A) each element is selected independently and from the same population 
B) each element has a 0.5 probability of being selected 
C) each element has a probability of at least 0.5 of being selected 
D) the probability of being selected changes

Question 5

How many simple random samples of size 3 can be selected from a population of size 7?

Accepted Answer

A) 7 
B) 21 
C) 35 
D) 343 
A) 7 
B) 21 
C) 35 
D) 343

Question 6

In computing the standard error of the mean, the finite population correction factor is used when

Accepted Answer

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

Question 7

Exhibit 7-1
A random sample of 121 bottles of cologne showed an average content of 4 ounces. It is known that the standard deviation of the contents (i.e., of the population) is 0.22 ounces.
-Refer to Exhibit 7-1. The point estimate of the mean content of the bottles is

Accepted Answer

A) 0.22 
B) 4 
C) 121 
D) 0.02 
A) 0.22 
B) 4 
C) 121 
D) 0.02

Question 8

The following data was collected from a simple random sample of a population.   If the population consisted of 10 elements, how many different random samples of size 6 could be drawn from the population?

Accepted Answer

A) 60 
B) 210 
C) 3024 
D) 362880 
A) 60 
B) 210 
C) 3024 
D) 362880

Question 9

As the sample size increases, the

Accepted Answer

A) standard deviation of the population decreases 
B) population mean increases 
C) standard error of the mean decreases 
D) standard error of the mean increases 
A) standard deviation of the population decreases 
B) population mean increases 
C) standard error of the mean decreases 
D) standard error of the mean increases

Question 10

Four hundred people were asked whether gun laws should be more stringent. Three hundred said "yes," and 100 said "no." The point estimate of the proportion in the population who will respond "yes" is

Accepted Answer

A) 300 
B) approximately 300 
C) 0.75 
D) 0.25 
A) 300 
B) approximately 300 
C) 0.75 
D) 0.25

Question 11

Exhibit 7-3
In a local university, 40% of the students live in the dormitories. A random sample of 80 students is selected for a particular study.
-Refer to Exhibit 7-3. The standard deviation of   , known as the standard error of the proportion is approximately

Accepted Answer

A) 0.5477 
B) 5.477 
C) 0.05477 
D) 54.77 
A) 0.5477 
B) 5.477 
C) 0.05477 
D) 54.77

Question 12

The sampling distribution of the sample means

Accepted Answer

A) is the probability distribution showing all possible values of the sample mean 
B) is used as a point estimator of the population mean $\mu$ 
C) is an unbiased estimator 
D) shows the distribution of all possible values of $\mu$ 
A) is the probability distribution showing all possible values of the sample mean 
B) is used as a point estimator of the population mean $\mu$ 
C) is an unbiased estimator 
D) shows the distribution of all possible values of $\mu$

Question 13

Whenever the population has a normal probability distribution, the sampling distribution of   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 thirty or greater 
A) only large sample sizes 
B) only small sample sizes 
C) any sample size 
D) only samples of size thirty or greater

Question 14

A sample of 25 observations is taken from an infinite population. The sampling distribution of   is

Accepted Answer

A) not normal since n  30 and n(1-P) > 30 
A) not normal since n  30 and n(1-P) > 30

Question 15

Random samples of size 100 are taken from an infinite population whose population proportion is 0.2. The mean and standard deviation of the sample proportion are

Accepted Answer

A) 0.2 and .04 
B) 0.2 and 0.2 
C) 20 and .04 
D) 20 and 0.2 
A) 0.2 and .04 
B) 0.2 and 0.2 
C) 20 and .04 
D) 20 and 0.2

Question 16

The closer the sample mean is to the population mean,

Accepted Answer

A) the larger the sampling error 
B) the smaller the sampling error 
C) the sampling error equals 1 
D) None of these alternatives is correct. 
A) the larger the sampling error 
B) the smaller the sampling error 
C) the sampling error equals 1 
D) None of these alternatives is correct.

Question 17

In point estimation

Accepted Answer

A) data from the population is used to estimate the population parameter 
B) data from the sample is used to estimate the population parameter 
C) data from the sample is used to estimate the sample statistic 
D) the mean of the population equals the mean of the sample 
A) data from the population is used to estimate the population parameter 
B) data from the sample is used to estimate the population parameter 
C) data from the sample is used to estimate the sample statistic 
D) the mean of the population equals the mean of the sample

Question 18

The probability distribution of all possible values of the sample proportion   is the

Accepted Answer

A) probability density function of   
B) sampling distribution of   
C) same as, since it considers all possible values of the sample proportion 
D) sampling distribution of   
A) probability density function of   
B) sampling distribution of   
C) same as, since it considers all possible values of the sample proportion 
D) sampling distribution of

Question 19

Random samples of size 525 are taken from an infinite population whose population proportion is 0.3. The standard deviation of the sample proportions (i.e., the standard error of the proportion) is

Accepted Answer

A) 0.0004 
B) 0.2100 
C) 0.3000 
D) 0.0200 
A) 0.0004 
B) 0.2100 
C) 0.3000 
D) 0.0200

Question 20

Sampling distribution of   is the

Accepted Answer

A) probability distribution of the sample mean 
B) probability distribution of the sample proportion 
C) mean of the sample 
D) mean of the population 
A) probability distribution of the sample mean 
B) probability distribution of the sample proportion 
C) mean of the sample 
D) mean of the population

Which of the following is an example of nonprobabilistic sampling?

Doubling the size of the sample will

A population of size 1,000 has a proportion of 0.5. Therefore, the proportion and the standard deviation of the sample proportion for samples of size 100 are

A simple random sample from an infinite population is a sample selected such that

How many simple random samples of size 3 can be selected from a population of size 7?

In computing the standard error of the mean, the finite population correction factor is used when

Exhibit 7-1 A random sample of 121 bottles of cologne showed an average content of 4 ounces. It is known that the standard deviation of the contents (i.e., of the population) is 0.22 ounces. -Refer to Exhibit 7-1. The point estimate of the mean content of the bottles is

The following data was collected from a simple random sample of a population. If the population consisted of 10 elements, how many different random samples of size 6 could be drawn from the population?

As the sample size increases, the

Four hundred people were asked whether gun laws should be more stringent. Three hundred said "yes," and 100 said "no." The point estimate of the proportion in the population who will respond "yes" is

Exhibit 7-3 In a local university, 40% of the students live in the dormitories. A random sample of 80 students is selected for a particular study. -Refer to Exhibit 7-3. The standard deviation of , known as the standard error of the proportion is approximately

The sampling distribution of the sample means

Whenever the population has a normal probability distribution, the sampling distribution of is a normal probability distribution for

A sample of 25 observations is taken from an infinite population. The sampling distribution of is

Random samples of size 100 are taken from an infinite population whose population proportion is 0.2. The mean and standard deviation of the sample proportion are

The closer the sample mean is to the population mean,

In point estimation

The probability distribution of all possible values of the sample proportion is the

Random samples of size 525 are taken from an infinite population whose population proportion is 0.3. The standard deviation of the sample proportions (i.e., the standard error of the proportion) is

Sampling distribution of is the

Data and Statistics

Descriptive Statistics: Tabular and Graphical Presentations

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Interval Estimation

Hypothesis Tests

Comparisons Involving Means, Experimental Design and Analysis of Variance

Comparisons Involving Proportions and a Test of Independence

Simple Linear Regression

Multiple Regression

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Exam 7: Sampling and Sampling Distributions

Which of the following is an example of nonprobabilistic sampling?

Doubling the size of the sample will

A population of size 1,000 has a proportion of 0.5. Therefore, the proportion and the standard deviation of the sample proportion for samples of size 100 are

A simple random sample from an infinite population is a sample selected such that

How many simple random samples of size 3 can be selected from a population of size 7?

In computing the standard error of the mean, the finite population correction factor is used when

Exhibit 7-1 A random sample of 121 bottles of cologne showed an average content of 4 ounces. It is known that the standard deviation of the contents (i.e., of the population) is 0.22 ounces. -Refer to Exhibit 7-1. The point estimate of the mean content of the bottles is

The following data was collected from a simple random sample of a population. If the population consisted of 10 elements, how many different random samples of size 6 could be drawn from the population?

As the sample size increases, the

Four hundred people were asked whether gun laws should be more stringent. Three hundred said "yes," and 100 said "no." The point estimate of the proportion in the population who will respond "yes" is

Exhibit 7-3 In a local university, 40% of the students live in the dormitories. A random sample of 80 students is selected for a particular study. -Refer to Exhibit 7-3. The standard deviation of , known as the standard error of the proportion is approximately

The sampling distribution of the sample means

Whenever the population has a normal probability distribution, the sampling distribution of is a normal probability distribution for

A sample of 25 observations is taken from an infinite population. The sampling distribution of is

Random samples of size 100 are taken from an infinite population whose population proportion is 0.2. The mean and standard deviation of the sample proportion are

The closer the sample mean is to the population mean,

In point estimation

The probability distribution of all possible values of the sample proportion is the

Random samples of size 525 are taken from an infinite population whose population proportion is 0.3. The standard deviation of the sample proportions (i.e., the standard error of the proportion) is

Sampling distribution of is the

Data and Statistics

Descriptive Statistics: Tabular and Graphical Presentations

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Interval Estimation

Hypothesis Tests

Comparisons Involving Means, Experimental Design and Analysis of Variance

Comparisons Involving Proportions and a Test of Independence

Simple Linear Regression

Multiple Regression

Filters