Question 1

The impact on sampling of increasing the sample size is:

Accepted Answer

A) the potential for extreme sampling error is reduced. 
B) the amount of sampling error is always reduced. 
C) the sample mean will always be closer to the population mean. 
D) There is no specific relationship between sample size and sampling error. 
A) the potential for extreme sampling error is reduced. 
B) the amount of sampling error is always reduced. 
C) the sample mean will always be closer to the population mean. 
D) There is no specific relationship between sample size and sampling error.

Question 2

A pharmaceutical company claims that only 5 percent of patients experience nausea when they take a particular drug.In a research study,n = 100 patients were given this drug and 8 experienced nausea.Assuming that the company's claim is true,what is the probability of 8 or more patients experiencing nausea?

Accepted Answer

A) About 0.9162 
B) About 0.0300 
C) About 0.0838 
D) About 0.4162 
A) About 0.9162 
B) About 0.0300 
C) About 0.0838 
D) About 0.4162

Question 3

One of the nation's biggest regional airlines has tracked 4,000 landings and take-offs during the past month.Treating these data as the population of interest,the company found that the average time the planes spent on the ground (called the turn time)was 17.23 minutes with a standard deviation of 3.79 minutes.Further,they determined that the distribution of turn times is normally distributed.If a sample of size n = 16 turn times was selected at random from the population,the chances of the mean of this sample exceeding 20 minutes is 0.2327.

Accepted Answer

A) True 
 B)False

Question 4

The population of incomes in a particular community is thought to be highly right-skewed with a mean equal to $36,789 and a standard deviation equal to $2,490.Based on this,if a sample of size n = 36 is selected,the sampling distribution would have a mean equal to the population mean,but the standard deviation of the sampling distribution will be one-sixth of the population standard deviation.

Accepted Answer

A) True 
 B)False

Question 5

A local bank has 1,400 checking account customers.Of these,1,020 also have savings accounts.A sample of 400 checking account customers was selected from the bank of which 302 also had savings accounts.The sampling error in this situation is .0264.

Accepted Answer

A) True 
 B)False

Question 6

A larger sample size reduces the potential for large sampling error.

Accepted Answer

A) True 
 B)False

Question 7

The Dilmart Company has 8,000 parts in inventory.The mean dollar value of these parts is $10.79 with a standard deviation equal to $3.34.Suppose the inventory manager selected a random sample of n = 64 parts from the inventory and found a sample mean equal to $11.27.The probability of getting a sample mean at least as large as $11.27 is approximately 0.444.

Accepted Answer

A) True 
 B)False

Question 8

When sampling from a population,the sample mean will:

Accepted Answer

A) typically exceed the population mean. 
B) likely be different from the population mean. 
C) always be closer to the population mean as the sample size increases. 
D) likely be equal to the population mean if proper sampling techniques are employed. 
A) typically exceed the population mean. 
B) likely be different from the population mean. 
C) always be closer to the population mean as the sample size increases. 
D) likely be equal to the population mean if proper sampling techniques are employed.

Question 9

An increase in sample size will tend to result in less sampling error.

Accepted Answer

A) True 
 B)False

Question 10

If a population is normally distributed,then the sampling distribution for the sample mean will always be normally distributed regardless of the sample size.

Accepted Answer

A) True 
 B)False

Question 11

The population of incomes in a particular community is thought to be highly right-skewed with a mean equal to $36,789 and a standard deviation equal to $2,490.Based on this,if a sample of size n = 36 is selected,the highest sample mean that we would expect to see would be approximately $38,034.

Accepted Answer

A) True 
 B)False

Question 12

It is very unlikely that a nonstatistical sample will ever provide less sampling error than a statistical sample of the same size.

Accepted Answer

A) True 
 B)False

Question 13

Suppose it is known that the mean purchase price for all homes sold last year in Blacksburg,Virginia was $203,455.Recently,two studies were done on home sales prices.In the first study,a random sample of 200 homes was selected from the population.In the second study,a random sample of 60 homes was selected.Based on this information,we know that the second study would contain more sampling errors than the first study due to the smaller sample size.

Accepted Answer

A) True 
 B)False

Question 14

If a population mean is equal to 200,the sample mean for a random sample selected from the population is about as likely to be higher or lower than 200.

Accepted Answer

A) True 
 B)False

Question 15

How would you respond to a statement that says that by increasing the sample size,the amount of sampling error will be decreased?

Accepted Answer

We might respond by saying that in the l

Question 16

The Olsen Agricultural Company has determined that the weight of hay bales is normally distributed with a mean equal to 80 pounds and a standard deviation equal to 8 pounds.Based on this,what is the mean of the sampling distribution for   if the sample size is n = 64?

Accepted Answer

A) 80 
B) 10 
C) Between 72 and 88 
D) 8 
A) 80 
B) 10 
C) Between 72 and 88 
D) 8

Question 17

The following values represent the population of home mortgage interest rates (in percents)being charged by the banks in a particular city:   Given this information,what is the most extreme amount of sampling error possible if a random sample of n = 4 banks is surveyed and the mean loan rate is calculated?

Accepted Answer

A) -0.55 percent 
B) 0.52 percent 
C) 1.08 percent 
D) Can't be determined without more information. 
A) -0.55 percent 
B) 0.52 percent 
C) 1.08 percent 
D) Can't be determined without more information.

Question 18

The reason that a population mean and the mean of a random sample selected from that population might be different is that the sample mean is found by dividing by n-1 while the population mean is found by dividing by n.

Accepted Answer

A) True 
 B)False

Question 19

Regardless of population distribution,the sampling distribution for a random variable X will be approximately normally distributed.

Accepted Answer

A) True 
 B)False

Question 20

A sample of 25 observations is taken to estimate a population proportion π.The sampling distribution of sample proportion p is

Accepted Answer

A) not normal since n < 30. 
B) approximately normal because p is always normally distributed. 
C) approximately normal if nπ ≥ 5 and n(1-π)≥ 5. 
D) approximately normal if π approaches 0.50. 
A) not normal since n < 30. 
B) approximately normal because p is always normally distributed. 
C) approximately normal if nπ ≥ 5 and n(1-π)≥ 5. 
D) approximately normal if π approaches 0.50.

The impact on sampling of increasing the sample size is:

A local bank has 1,400 checking account customers.Of these,1,020 also have savings accounts.A sample of 400 checking account customers was selected from the bank of which 302 also had savings accounts.The sampling error in this situation is .0264.

A larger sample size reduces the potential for large sampling error.

When sampling from a population,the sample mean will:

An increase in sample size will tend to result in less sampling error.

If a population is normally distributed,then the sampling distribution for the sample mean will always be normally distributed regardless of the sample size.

The population of incomes in a particular community is thought to be highly right-skewed with a mean equal to $36,789 and a standard deviation equal to $2,490.Based on this,if a sample of size n = 36 is selected,the highest sample mean that we would expect to see would be approximately $38,034.

It is very unlikely that a nonstatistical sample will ever provide less sampling error than a statistical sample of the same size.

If a population mean is equal to 200,the sample mean for a random sample selected from the population is about as likely to be higher or lower than 200.

How would you respond to a statement that says that by increasing the sample size,the amount of sampling error will be decreased?

The Olsen Agricultural Company has determined that the weight of hay bales is normally distributed with a mean equal to 80 pounds and a standard deviation equal to 8 pounds.Based on this,what is the mean of the sampling distribution for if the sample size is n = 64?

The reason that a population mean and the mean of a random sample selected from that population might be different is that the sample mean is found by dividing by n-1 while the population mean is found by dividing by n.

Regardless of population distribution,the sampling distribution for a random variable X will be approximately normally distributed.

A sample of 25 observations is taken to estimate a population proportion π.The sampling distribution of sample proportion p is

The Where, why, and How of Data Collection

Graphs,charts and Tablesdescribing Your Data

Describing Data Using Numerical Measures

Using Probability and Probability Distributions

Discrete Probability Distributions

Introduction to Continuous Probability Distributions

Estimating Single Population Parameters

Introduction to Hypothesis Testing

Estimation and Hypothesis Testing for Two Population Parameters

Hypothesis Tests and Estimation for Population Variances

Analysis of Variance

Goodness-Of-Fit Tests and Contingency Analysis

Introduction to Linear Regression and Correlation Analysis

Multiple Regression Analysis and Model Building

Analyzing and Forecasting Time-Series Data

Introduction to Nonparametric Statistics

Introduction to Quality and Statistical Process Control

Introduction to Decision Analysis

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Exam 7: Introduction to Sampling Distributions

The impact on sampling of increasing the sample size is:

A local bank has 1,400 checking account customers.Of these,1,020 also have savings accounts.A sample of 400 checking account customers was selected from the bank of which 302 also had savings accounts.The sampling error in this situation is .0264.

A larger sample size reduces the potential for large sampling error.

When sampling from a population,the sample mean will:

An increase in sample size will tend to result in less sampling error.

If a population is normally distributed,then the sampling distribution for the sample mean will always be normally distributed regardless of the sample size.

The population of incomes in a particular community is thought to be highly right-skewed with a mean equal to $36,789 and a standard deviation equal to $2,490.Based on this,if a sample of size n = 36 is selected,the highest sample mean that we would expect to see would be approximately $38,034.

It is very unlikely that a nonstatistical sample will ever provide less sampling error than a statistical sample of the same size.

If a population mean is equal to 200,the sample mean for a random sample selected from the population is about as likely to be higher or lower than 200.

How would you respond to a statement that says that by increasing the sample size,the amount of sampling error will be decreased?

The Olsen Agricultural Company has determined that the weight of hay bales is normally distributed with a mean equal to 80 pounds and a standard deviation equal to 8 pounds.Based on this,what is the mean of the sampling distribution for if the sample size is n = 64?

The reason that a population mean and the mean of a random sample selected from that population might be different is that the sample mean is found by dividing by n-1 while the population mean is found by dividing by n.

Regardless of population distribution,the sampling distribution for a random variable X will be approximately normally distributed.

A sample of 25 observations is taken to estimate a population proportion π.The sampling distribution of sample proportion p is

The Where, why, and How of Data Collection

Graphs,charts and Tablesdescribing Your Data

Describing Data Using Numerical Measures

Using Probability and Probability Distributions

Discrete Probability Distributions

Introduction to Continuous Probability Distributions

Estimating Single Population Parameters

Introduction to Hypothesis Testing

Estimation and Hypothesis Testing for Two Population Parameters

Hypothesis Tests and Estimation for Population Variances

Analysis of Variance

Goodness-Of-Fit Tests and Contingency Analysis

Introduction to Linear Regression and Correlation Analysis

Multiple Regression Analysis and Model Building

Analyzing and Forecasting Time-Series Data

Introduction to Nonparametric Statistics

Introduction to Quality and Statistical Process Control

Introduction to Decision Analysis

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