Question 1

A finite population correction factor is needed in computing the standard deviation of the sampling distribution of sample means

Accepted Answer

A) whenever the population is infinite 
B) whenever the sample size is more than 5% of the population size 
C) whenever the sample size is less than 5% of the population size 
D) The correction factor is not necessary if the population has a normal distribution 
A) whenever the population is infinite 
B) whenever the sample size is more than 5% of the population size 
C) whenever the sample size is less than 5% of the population size 
D) The correction factor is not necessary if the population has a normal distribution

Question 2

The proportion of Americans who support the death penalty is 0.53. A sample of 1000 randomly selected Americans is surveyed by telephone interview. Use Excel to answer the following questions.
a.What is the probability that the sample proportion of those supporting the death penalty will be less than 0.50?
b.What is the probability that the sample proportion of those supporting the death penalty will be at least 0.55?
c.What is the probability that the sample proportion of those supporting the death penalty will be between 0.50 and 0.55?
d.For samples of size 1000, 15% of all sample proportions are at most what value?

Accepted Answer

a..028
=NORM.DIST(0.5,0.53,0.0

Question 3

Exhibit 7-5
Random samples of size 17 are taken from a population that has 200 elements, a mean of 36, and a standard deviation of 8.
-A simple random sample of 8 employees of a corporation provided the following information.   
a.Determine the point estimate for the average age of all employees.
b.What is the point estimate for the standard deviation of the population?
c.Determine a point estimate for the proportion of all employees who are female.

Accepted Answer

The answer of Exhibit 7-5
Random samples of size 17 are...

Question 4

Random samples of size 49 are taken from a population that has 200 elements, a mean of 180, and a variance of 196. The distribution of the population is unknown. The mean and the standard error of the distribution of sample means are

Accepted Answer

A) 180 and 24.39 
B) 180 and 28 
C) 180 and 1.74 
D) 180 and 2 
A) 180 and 24.39 
B) 180 and 28 
C) 180 and 1.74 
D) 180 and 2

Question 5

In a restaurant, the proportion of people who order coffee with their dinner is 0.9. A simple random sample of 144 patrons of the restaurant is taken.
a.What are the expected value, standard deviation, and shape of the sampling distribution of?
b.What is the random variable in this problem? Define it in words.
c.What is the probability that the proportion of people who will order coffee with their meal is between 0.85 and 0.875?
d.What is the probability that the proportion of people who will order coffee with their meal is at least 0.945?

Accepted Answer

a.0.9; 0.025; normal
b.the sam

Question 6

Exhibit 7-1
The following data was collected from a simple random sample from a process (an infinite population).  
-Refer to Exhibit 7-1. The mean of the population

Accepted Answer

A) is 14 
B) is 15 
C) is 15.1581 
D) could be any value 
A) is 14 
B) is 15 
C) is 15.1581 
D) could be any value

Question 7

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) None of the alternative answers is correct. 
A) 0 
B) .0495 
C) .4505 
D) None of the alternative answers is correct.

Question 8

As a general rule, the sampling distribution of the sample proportions can be approximated by a normal probability distribution whenever

Accepted Answer

A) np $\ge$ 5 
B) n(1 - p) $\ge$ 5 
C) n $\ge$ 30 
D) Both np $\ge$ 5 and n(1 - p) $\ge$ 5 are true. 
A) np $\ge$ 5 
B) n(1 - p) $\ge$ 5 
C) n $\ge$ 30 
D) Both np $\ge$ 5 and n(1 - p) $\ge$ 5 are true.

Question 9

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  , 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  , since it considers all possible values of the sample proportion 
D) sampling distribution of

Question 10

A simple random sample of size n from a finite population of size N is a sample selected such that each possible sample of size

Accepted Answer

A) N has the same probability of being selected 
B) n has a probability of 0.5 of being selected 
C) n has a probability of 0.1 of being selected 
D) n has the same probability of being selected 
A) N has the same probability of being selected 
B) n has a probability of 0.5 of being selected 
C) n has a probability of 0.1 of being selected 
D) n has the same probability of being selected

Question 11

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 12

A new soft drink is being market tested. It is estimated that 60% of consumers will like the new drink. A sample of 96 taste-tested the new drink.
a.Determine the standard error of the proportion
b.What is the probability that more than 70.4% of consumers will indicate they like the drink?
c.What is the probability that more than 30% of consumers will indicate they do not like the drink?

Accepted Answer

a.0.05
b.0

Question 13

Which of the following is(are) point estimator(s)?

Accepted Answer

A) $\mu$ 
B)  $\sigma$ 
C) s 
D) All of these answers are correct. 
A) $\mu$ 
B)  $\sigma$ 
C) s 
D) All of these answers are correct.

Question 14

Random samples of size 100 are taken from a process (an infinite population) whose population proportion is 0.2. The mean and standard deviation of the distribution of sample proportions are

Accepted Answer

A) 0.2 and .04 
B) 0.2 and 0.2 
C) 20 and .04 
D) None of the alternative answers is correct. 
A) 0.2 and .04 
B) 0.2 and 0.2 
C) 20 and .04 
D) None of the alternative answers is correct.

Question 15

Random samples of size 81 are taken from a process (an infinite population) whose mean and standard deviation are 200 and 18, respectively. The distribution of the population is unknown. The mean and the standard error of the distribution of sample means are

Accepted Answer

A) 200 and 18 
B) 81 and 18 
C) 9 and 2 
D) 200 and 2 
A) 200 and 18 
B) 81 and 18 
C) 9 and 2 
D) 200 and 2

Question 16

Students of a large university spend an average of $5 a day on lunch. The standard deviation of the expenditure is $3. A simple random sample of 36 students is taken.
a.What are the expected value, standard deviation, and shape of the sampling distribution of the sample mean?
b.What is the probability that the sample mean will be at least $4?
c.What is the probability that the sample mean will be at least $5.90?

Accepted Answer

a.5.0; 0.5

Question 17

It is impossible to construct a frame for a

Accepted Answer

A) finite population 
B) infinite population 
C) target population 
D) sampled population 
A) finite population 
B) infinite population 
C) target population 
D) sampled population

Question 18

The expected value of   equals the mean of the population from which the sample is drawn

Accepted Answer

A) only if the sample size is 30 or greater 
B) only if the sample size is 50 or greater 
C) only if the sample size is 100 or greater 
D) for any sample size 
A) only if the sample size is 30 or greater 
B) only if the sample size is 50 or greater 
C) only if the sample size is 100 or greater 
D) for any sample size

Question 19

Exhibit 7-1
The following data was collected from a simple random sample from a process (an infinite population).  
-Refer to Exhibit 7-1. 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 20

Exhibit 7-5
Random samples of size 17 are taken from a population that has 200 elements, a mean of 36, and a standard deviation of 8.
-Starting salaries of a sample of five management majors along with their genders are shown below.   
a.What is the point estimate for the starting salaries of all management majors?
b.Determine the point estimate for the variance of the population.
c.Determine the point estimate for the proportion of male employees.

Accepted Answer

a.25 (thousands of d

A finite population correction factor is needed in computing the standard deviation of the sampling distribution of sample means

Random samples of size 49 are taken from a population that has 200 elements, a mean of 180, and a variance of 196. The distribution of the population is unknown. The mean and the standard error of the distribution of sample means are

Exhibit 7-1 The following data was collected from a simple random sample from a process (an infinite population). -Refer to Exhibit 7-1. The mean of the population

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

As a general rule, the sampling distribution of the sample proportions can be approximated by a normal probability distribution whenever

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

A simple random sample of size n from a finite population of size N is a sample selected such that each possible sample of size

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

Which of the following is(are) point estimator(s)?

Random samples of size 100 are taken from a process (an infinite population) whose population proportion is 0.2. The mean and standard deviation of the distribution of sample proportions are

Random samples of size 81 are taken from a process (an infinite population) whose mean and standard deviation are 200 and 18, respectively. The distribution of the population is unknown. The mean and the standard error of the distribution of sample means are

It is impossible to construct a frame for a

The expected value of equals the mean of the population from which the sample is drawn

Exhibit 7-1 The following data was collected from a simple random sample from a process (an infinite population). -Refer to Exhibit 7-1. The point estimate of the population standard deviation is

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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

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Exam 7: Sampling and Sampling Distributions

A finite population correction factor is needed in computing the standard deviation of the sampling distribution of sample means

Random samples of size 49 are taken from a population that has 200 elements, a mean of 180, and a variance of 196. The distribution of the population is unknown. The mean and the standard error of the distribution of sample means are

Exhibit 7-1 The following data was collected from a simple random sample from a process (an infinite population). -Refer to Exhibit 7-1. The mean of the population

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

As a general rule, the sampling distribution of the sample proportions can be approximated by a normal probability distribution whenever

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

A simple random sample of size n from a finite population of size N is a sample selected such that each possible sample of size

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

Which of the following is(are) point estimator(s)?

Random samples of size 100 are taken from a process (an infinite population) whose population proportion is 0.2. The mean and standard deviation of the distribution of sample proportions are

Random samples of size 81 are taken from a process (an infinite population) whose mean and standard deviation are 200 and 18, respectively. The distribution of the population is unknown. The mean and the standard error of the distribution of sample means are

It is impossible to construct a frame for a

The expected value of equals the mean of the population from which the sample is drawn

Exhibit 7-1 The following data was collected from a simple random sample from a process (an infinite population). -Refer to Exhibit 7-1. The point estimate of the population standard deviation is

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