Question 1

The standard deviation of a sample of 100 elements taken from a very large population is determined to be 60.The variance of the population

Accepted Answer

A) can not be larger than 60 
B) can not be larger than 3600 
C) must be at least 100 
D) can be any value greater or equal to zero 
A) can not be larger than 60 
B) can not be larger than 3600 
C) must be at least 100 
D) can be any value greater or equal to zero

Question 2

The number of different simple random samples of size 5 that can be selected from a population of size 8 is

Accepted Answer

A) 40 
B) 336 
C) 13 
D) 56 
A) 40 
B) 336 
C) 13 
D) 56

Question 3

A department store has determined that 25% of all their sales are credit sales.A random sample of 60 sales is selected.
a.What is the sampling distribution of?
b.What is the probability that the sample proportion will be greater than 0.30?
c.What is the probability that the sample proportion will be between 0.20 to 0.30?

Accepted Answer

a.E()= 0.25 Standard

Question 4

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 5

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 6

A population has a mean of 53 and a standard deviation of 21.A sample of 49 observations will be taken.The probability that the sample mean will be greater than 57.95 is

Accepted Answer

A) 0 
B) .0495 
C) .4505 
D) .9505 
A) 0 
B) .0495 
C) .4505 
D) .9505

Question 7

Convenience sampling is an example of

Accepted Answer

A) probabilistic sampling 
B) stratified sampling 
C) nonprobabilistic sampling 
D) cluster sampling 
A) probabilistic sampling 
B) stratified sampling 
C) nonprobabilistic sampling 
D) cluster sampling

Question 8

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 probability that the sample proportion (the proportion living in the dormitories)is between 0.30 and 0.50 is

Accepted Answer

A) 0.4664 
B) 0.9328 
C) 0.0336 
D) 0.0672 
A) 0.4664 
B) 0.9328 
C) 0.0336 
D) 0.0672

Question 9

The following data was collected from a simple random sample of a population.
 
The point estimate of the population standard deviation is

Accepted Answer

A) 2.500 
B) 1.581 
C) 2.000 
D) 1.414 
A) 2.500 
B) 1.581 
C) 2.000 
D) 1.414

Question 10

A population consists of 8 items.The number of different simple random samples of size 3 that can be selected from this population is

Accepted Answer

A) 24 
B) 56 
C) 512 
D) 128 
A) 24 
B) 56 
C) 512 
D) 128

Question 11

The sampling error is the

Accepted Answer

A) same as the standard error of the mean 
B) difference between the value of the sample mean and the value of the population mean 
C) error caused by selecting a bad sample 
D) standard deviation multiplied by the sample size 
A) same as the standard error of the mean 
B) difference between the value of the sample mean and the value of the population mean 
C) error caused by selecting a bad sample 
D) standard deviation multiplied by the sample size

Question 12

A sample of 51 observations will be taken from an infinite population.The population proportion equals 0.85.The probability that the sample proportion will be between 0.9115 and 0.946 is

Accepted Answer

A) 0.8633 
B) 0.6900 
C) 0.0819 
D) 0.0345 
A) 0.8633 
B) 0.6900 
C) 0.0819 
D) 0.0345

Question 13

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 14

A population has a mean of 75 and a standard deviation of 8.A random sample of 800 is selected.The expected value of   Is

Accepted Answer

A) 8 
B) 75 
C) 800 
D) None of these alternatives is correct. 
A) 8 
B) 75 
C) 800 
D) None of these alternatives is correct.

Question 15

Exhibit 7-2
A random sample of 10 examination papers in a course,which was given on a pass or fail basis,showed the following scores.
  
-Refer to Exhibit 7-2.The point estimate for the standard deviation of the population is

Accepted Answer

A) 419.43 
B) 20.48 
C) 75 
D) 750 
A) 419.43 
B) 20.48 
C) 75 
D) 750

Question 16

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 17

Consider a population of five weights identical in appearance but weighing 1,3,5,7,and 9 ounces.
a.Determine the mean and the variance of the population.
b.Sampling without replacement from the above population with a sample size of 2 produces ten possible samples.Using the ten sample mean values,determine the mean of the population and the variance of $\bar{x}$.
c.Compute the standard error of the mean.

Accepted Answer

a.5 and 8

Question 18

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

Accepted Answer

A) binomial distribution 
B) Poisson distribution 
C) normal distribution 
D) chi-square distribution 
A) binomial distribution 
B) Poisson distribution 
C) normal distribution 
D) chi-square distribution

Question 19

An automotive repair shop has determined that the average service time on an automobile is 130 minutes with a standard deviation of 26 minutes.A random sample of 40 automotive services is selected.
a.Compute the standard error of the mean.
b.What is the probability that the sample of 40 automotive services will have a mean service time greater than 136 minutes?
c.Assume the population consists of 400 automotive services.Determine the standard error of the mean.

Accepted Answer

a.4.11
b.0

Question 20

The fact that the sampling distribution of sample means 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 we have tables of areas for the normal distribution 
C) assumption that the population has a normal distribution 
D) None of these alternatives is correct. 
A) central limit theorem 
B) fact that we have tables of areas for the normal distribution 
C) assumption that the population has a normal distribution 
D) None of these alternatives is correct.

The standard deviation of a sample of 100 elements taken from a very large population is determined to be 60.The variance of the population

The number of different simple random samples of size 5 that can be selected from a population of size 8 is

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

Which of the following is an example of nonprobabilistic sampling?

A population has a mean of 53 and a standard deviation of 21.A sample of 49 observations will be taken.The probability that the sample mean will be greater than 57.95 is

Convenience sampling is an example of

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 probability that the sample proportion (the proportion living in the dormitories)is between 0.30 and 0.50 is

The following data was collected from a simple random sample of a population. The point estimate of the population standard deviation is

A population consists of 8 items.The number of different simple random samples of size 3 that can be selected from this population is

The sampling error is the

A sample of 51 observations will be taken from an infinite population.The population proportion equals 0.85.The probability that the sample proportion will be between 0.9115 and 0.946 is

The sampling distribution of the sample means

A population has a mean of 75 and a standard deviation of 8.A random sample of 800 is selected.The expected value of Is

Exhibit 7-2 A random sample of 10 examination papers in a course,which was given on a pass or fail basis,showed the following scores. -Refer to Exhibit 7-2.The point estimate for the standard deviation of the population is

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

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

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

Statistical Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Tests of Goodness of Fit and Independence

Analysis of Variance and Experimental Design

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Index Numbers

Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Decision Analysis

Sample Survey

Filters

Exam 7: Sampling and Sampling Distributions

The standard deviation of a sample of 100 elements taken from a very large population is determined to be 60.The variance of the population

The number of different simple random samples of size 5 that can be selected from a population of size 8 is

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

Which of the following is an example of nonprobabilistic sampling?

A population has a mean of 53 and a standard deviation of 21.A sample of 49 observations will be taken.The probability that the sample mean will be greater than 57.95 is

Convenience sampling is an example of

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 probability that the sample proportion (the proportion living in the dormitories)is between 0.30 and 0.50 is

The following data was collected from a simple random sample of a population. The point estimate of the population standard deviation is

A population consists of 8 items.The number of different simple random samples of size 3 that can be selected from this population is

The sampling error is the

A sample of 51 observations will be taken from an infinite population.The population proportion equals 0.85.The probability that the sample proportion will be between 0.9115 and 0.946 is

The sampling distribution of the sample means

A population has a mean of 75 and a standard deviation of 8.A random sample of 800 is selected.The expected value of Is

Exhibit 7-2 A random sample of 10 examination papers in a course,which was given on a pass or fail basis,showed the following scores. -Refer to Exhibit 7-2.The point estimate for the standard deviation of the population is

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

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

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

Statistical Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Tests of Goodness of Fit and Independence

Analysis of Variance and Experimental Design

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Index Numbers

Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Decision Analysis

Sample Survey

Filters