Question 1
Sampling error is the difference between the statistic and the _______.
Population proportion 

None of the above 
Population standard deviation 

Parameter 
Question 2
Which is not a continuous random variable?
Number of births in a hospital on a given day 

Wingspan of an albatross 
Length of an ECO 250 lecture 

Hourly earnings of a call center employee in Boston 
Question 3
A _______ is a continuous distribution that is bell shaped and symmetrical around its mean.
Normal probability distribution 

Binomial probability distribution 
Exponential probability distribution 

Uniform probability distribution 
Question 4
A _______ is a distribution in which the probability of any interval occurring is equal to any other interval with the same width.
Exponential probability distribution 

Normal probability distribution 
Binomial probability distribution 

Uniform probability distribution 
Question 5
_______ are samples in which the probability of a population member being selected for the sample is not known.
Nonprobability samples 

Cluster samples 
Probability samples 

Simple random sample 
Question 6
Suppose the population mean is 3, and you have the following sample: 3, 5, 7. What is the sampling error?
5 

2 
2 

7.5 
Question 7
The empirical rule states if an distribution is symmetrical and bellshaped, approximately _______, 95%, and 99.7% of its data values will fall within one, two, and three standard deviations above and below the mean, respectively.
68% 

67% 
69.9% 

69% 
Question 8
The standard error of the mean is the
Population standard deviation 

Sample standard deviation 
Standard deviation of samples 

Standard deviation of sample means 
Question 9
True or false: All normal distributions have the same shape and scale.
True 

False 
Question 10
Parameters are values that are calculated from a sample, such as the mean or the median.
True 

False 
Question 11
The Central Limit Theorem states that sample means, drawn from any population, will be normally distributed.
True 

False 
Question 12
The standard normal distribution is a normal distribution with μ=0 and σ=1.
True 

False 
Question 13
Suppose you teach a small class composed of eight students with the following ages:
18, 25, 21, 23, 25, 22, 23, 19.
Calculate the sampling error if the sample includes the first two ages (18, 25).
Question 14
Suppose you teach a small class composed of eight students with the following ages:
18, 25, 21, 23, 25, 22, 23, 19.
Calculate the sampling error if the sample includes the first four ages (18, 25, 21, 23).
Question 15
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the mean of this distribution?
Question 16
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the standard deviation of this distribution?
Question 17
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the probability that the next room will require exactly 25 minutes to clean?
Question 18
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the probability that the next room will require less than 30 minutes to clean?
Write your answer as a probability (i.e., a number between 0 and 1).
Question 19
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the probability that the next room will require between 25 and 40 minutes to clean?
Write your answer as a probability (i.e., a number between 0 and 1).
Question 20
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
What is the probability that, before the lowfuel light comes on, the car will travel exactly 300 miles on the next tank of gas?
Question 21
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
What is the probability that, before the lowfuel light comes on, the car will travel less than 350 miles on the next tank of gas?
Write you answer as a probability (i.e., a number between 0 and 1).
Question 22
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
What is the probability that, before the lowfuel light comes on, the car will travel more than 310 miles on the next tank of gas?
Write your answer as a probability (i.e., a number between 0 and 1).
Question 1
Sampling error is the difference between the statistic and the _______.
Population proportion 

None of the above 
Population standard deviation 

Parameter 
Question 2
Which is not a continuous random variable?
Number of births in a hospital on a given day 

Wingspan of an albatross 
Length of an ECO 250 lecture 

Hourly earnings of a call center employee in Boston 
Question 3
A _______ is a continuous distribution that is bell shaped and symmetrical around its mean.
Normal probability distribution 

Binomial probability distribution 
Exponential probability distribution 

Uniform probability distribution 
Question 4
A _______ is a distribution in which the probability of any interval occurring is equal to any other interval with the same width.
Exponential probability distribution 

Normal probability distribution 
Binomial probability distribution 

Uniform probability distribution 
Question 5
_______ are samples in which the probability of a population member being selected for the sample is not known.
Nonprobability samples 

Cluster samples 
Probability samples 

Simple random sample 
Question 6
Suppose the population mean is 3, and you have the following sample: 3, 5, 7. What is the sampling error?
5 

2 
2 

7.5 
Question 7
The empirical rule states if an distribution is symmetrical and bellshaped, approximately _______, 95%, and 99.7% of its data values will fall within one, two, and three standard deviations above and below the mean, respectively.
68% 

67% 
69.9% 

69% 
Question 8
The standard error of the mean is the
Population standard deviation 

Sample standard deviation 
Standard deviation of samples 

Standard deviation of sample means 
Question 9
True or false: All normal distributions have the same shape and scale.
True 

False 
Question 10
Parameters are values that are calculated from a sample, such as the mean or the median.
True 

False 
Question 11
The Central Limit Theorem states that sample means, drawn from any population, will be normally distributed.
True 

False 
Question 12
The standard normal distribution is a normal distribution with μ=0 and σ=1.
True 

False 
Question 13
Suppose you teach a small class composed of eight students with the following ages:
18, 25, 21, 23, 25, 22, 23, 19.
Calculate the sampling error if the sample includes the first two ages (18, 25).
Question 14
Suppose you teach a small class composed of eight students with the following ages:
18, 25, 21, 23, 25, 22, 23, 19.
Calculate the sampling error if the sample includes the first four ages (18, 25, 21, 23).
Question 15
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the mean of this distribution?
Question 16
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the standard deviation of this distribution?
Question 17
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the probability that the next room will require exactly 25 minutes to clean?
Question 18
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the probability that the next room will require less than 30 minutes to clean?
Write your answer as a probability (i.e., a number between 0 and 1).
Question 19
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the probability that the next room will require between 25 and 40 minutes to clean?
Write your answer as a probability (i.e., a number between 0 and 1).
Question 20
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
What is the probability that, before the lowfuel light comes on, the car will travel exactly 300 miles on the next tank of gas?
Question 21
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
What is the probability that, before the lowfuel light comes on, the car will travel less than 350 miles on the next tank of gas?
Write you answer as a probability (i.e., a number between 0 and 1).
Question 22
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
What is the probability that, before the lowfuel light comes on, the car will travel more than 310 miles on the next tank of gas?
Write your answer as a probability (i.e., a number between 0 and 1).
Question 1
Sampling error is the difference between the statistic and the _______.
Population proportion 

None of the above 
Population standard deviation 

Parameter 
Question 2
Which is not a continuous random variable?
Number of births in a hospital on a given day 

Wingspan of an albatross 
Length of an ECO 250 lecture 

Hourly earnings of a call center employee in Boston 
Question 3
A _______ is a continuous distribution that is bell shaped and symmetrical around its mean.
Normal probability distribution 

Binomial probability distribution 
Exponential probability distribution 

Uniform probability distribution 
Question 4
A _______ is a distribution in which the probability of any interval occurring is equal to any other interval with the same width.
Exponential probability distribution 

Normal probability distribution 
Binomial probability distribution 

Uniform probability distribution 
Question 5
_______ are samples in which the probability of a population member being selected for the sample is not known.
Nonprobability samples 

Cluster samples 
Probability samples 

Simple random sample 
Question 6
Suppose the population mean is 3, and you have the following sample: 3, 5, 7. What is the sampling error?
5 

2 
2 

7.5 
Question 7
The empirical rule states if an distribution is symmetrical and bellshaped, approximately _______, 95%, and 99.7% of its data values will fall within one, two, and three standard deviations above and below the mean, respectively.
68% 

67% 
69.9% 

69% 
Question 8
The standard error of the mean is the
Population standard deviation 

Sample standard deviation 
Standard deviation of samples 

Standard deviation of sample means 
Question 9
True or false: All normal distributions have the same shape and scale.
True 

False 
Question 10
Parameters are values that are calculated from a sample, such as the mean or the median.
True 

False 
Question 11
The Central Limit Theorem states that sample means, drawn from any population, will be normally distributed.
True 

False 
Question 12
The standard normal distribution is a normal distribution with μ=0 and σ=1.
True 

False 
Question 13
Suppose you teach a small class composed of eight students with the following ages:
18, 25, 21, 23, 25, 22, 23, 19.
Calculate the sampling error if the sample includes the first two ages (18, 25).
Question 14
Suppose you teach a small class composed of eight students with the following ages:
18, 25, 21, 23, 25, 22, 23, 19.
Calculate the sampling error if the sample includes the first four ages (18, 25, 21, 23).
Question 15
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the mean of this distribution?
Question 16
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the standard deviation of this distribution?
Question 17
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the probability that the next room will require exactly 25 minutes to clean?
Question 18
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the probability that the next room will require less than 30 minutes to clean?
Write your answer as a probability (i.e., a number between 0 and 1).
Question 19
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the probability that the next room will require between 25 and 40 minutes to clean?
Write your answer as a probability (i.e., a number between 0 and 1).
Question 20
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
What is the probability that, before the lowfuel light comes on, the car will travel exactly 300 miles on the next tank of gas?
Question 21
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
What is the probability that, before the lowfuel light comes on, the car will travel less than 350 miles on the next tank of gas?
Write you answer as a probability (i.e., a number between 0 and 1).
Question 22
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
What is the probability that, before the lowfuel light comes on, the car will travel more than 310 miles on the next tank of gas?
Write your answer as a probability (i.e., a number between 0 and 1).
Question 1
Question 1
Sampling error is the difference between the statistic and the _______.
Sampling error is the difference between the statistic and the _______.
Population proportion 

None of the above 
Population proportion
None of the above
Population proportion
Population proportion
Population proportion
Population proportion
None of the above
None of the above
None of the above
None of the above
Population standard deviation 

Parameter 
Population standard deviation
Parameter
Population standard deviation
Population standard deviation
Population standard deviation
Population standard deviation
Parameter
Parameter
Parameter
Parameter
Question 2
Question 2
Which is not a continuous random variable?
Which is not a continuous random variable? not
Number of births in a hospital on a given day 

Wingspan of an albatross 
Number of births in a hospital on a given day
Wingspan of an albatross
Number of births in a hospital on a given day
Number of births in a hospital on a given day
Number of births in a hospital on a given day
Number of births in a hospital on a given day
Wingspan of an albatross
Wingspan of an albatross
Wingspan of an albatross
Wingspan of an albatross
Length of an ECO 250 lecture 

Hourly earnings of a call center employee in Boston 
Length of an ECO 250 lecture
Hourly earnings of a call center employee in Boston
Length of an ECO 250 lecture
Length of an ECO 250 lecture
Length of an ECO 250 lecture
Length of an ECO 250 lecture
Hourly earnings of a call center employee in Boston
Hourly earnings of a call center employee in Boston
Hourly earnings of a call center employee in Boston
Hourly earnings of a call center employee in Boston
Question 3
Question 3
A _______ is a continuous distribution that is bell shaped and symmetrical around its mean.
A _______ is a continuous distribution that is bell shaped and symmetrical around its mean.
Normal probability distribution 

Binomial probability distribution 
Normal probability distribution
Binomial probability distribution
Normal probability distribution
Normal probability distribution
Normal probability distribution
Normal probability distribution
Binomial probability distribution
Binomial probability distribution
Binomial probability distribution
Binomial probability distribution
Exponential probability distribution 

Uniform probability distribution 
Exponential probability distribution
Uniform probability distribution
Exponential probability distribution
Exponential probability distribution
Exponential probability distribution
Exponential probability distribution
Uniform probability distribution
Uniform probability distribution
Uniform probability distribution
Uniform probability distribution
Question 4
Question 4
A _______ is a distribution in which the probability of any interval occurring is equal to any other interval with the same width.
A _______ is a distribution in which the probability of any interval occurring is equal to any other interval with the same width.
Exponential probability distribution 

Normal probability distribution 
Exponential probability distribution
Normal probability distribution
Exponential probability distribution
Exponential probability distribution
Exponential probability distribution
Exponential probability distribution
Normal probability distribution
Normal probability distribution
Normal probability distribution
Normal probability distribution
Binomial probability distribution 

Uniform probability distribution 
Binomial probability distribution
Uniform probability distribution
Binomial probability distribution
Binomial probability distribution
Binomial probability distribution
Binomial probability distribution
Uniform probability distribution
Uniform probability distribution
Uniform probability distribution
Uniform probability distribution
Question 5
Question 5
_______ are samples in which the probability of a population member being selected for the sample is not known.
_______ are samples in which the probability of a population member being selected for the sample is not known.
Nonprobability samples 

Cluster samples 
Nonprobability samples
Cluster samples
Nonprobability samples
Nonprobability samples
Nonprobability samples
Nonprobability samples
Cluster samples
Cluster samples
Cluster samples
Cluster samples
Probability samples 

Simple random sample 
Probability samples
Simple random sample
Probability samples
Probability samples
Probability samples
Probability samples
Simple random sample
Simple random sample
Simple random sample
Simple random sample
Question 6
Question 6
Suppose the population mean is 3, and you have the following sample: 3, 5, 7. What is the sampling error?
Suppose the population mean is 3, and you have the following sample: 3, 5, 7. What is the sampling error?
5 

2 
5
2
5
5
5
5
2
2
2
2
2 

7.5 
2
7.5
2
2
2
2
7.5
7.5
7.5
7.5
Question 7
Question 7
The empirical rule states if an distribution is symmetrical and bellshaped, approximately _______, 95%, and 99.7% of its data values will fall within one, two, and three standard deviations above and below the mean, respectively.
The empirical rule states if an distribution is symmetrical and bellshaped, approximately _______, 95%, and 99.7% of its data values will fall within one, two, and three standard deviations above and below the mean, respectively.
68% 

67% 
68%
67%
68%
68%
68%
68%
67%
67%
67%
67%
69.9% 

69% 
69.9%
69%
69.9%
69.9%
69.9%
69.9%
69%
69%
69%
69%
Question 8
Question 8
The standard error of the mean is the
The standard error of the mean is the
Population standard deviation 

Sample standard deviation 
Population standard deviation
Sample standard deviation
Population standard deviation
Population standard deviation
Population standard deviation
Population standard deviation
Sample standard deviation
Sample standard deviation
Sample standard deviation
Sample standard deviation
Standard deviation of samples 

Standard deviation of sample means 
Standard deviation of samples
Standard deviation of sample means
Standard deviation of samples
Standard deviation of samples
Standard deviation of samples
Standard deviation of samples
Standard deviation of sample means
Standard deviation of sample means
Standard deviation of sample means
Standard deviation of sample means
Question 9
Question 9
True or false: All normal distributions have the same shape and scale.
True or false: All normal distributions have the same shape and scale.
True 

False 
True
False
True
True
True
True
False
False
False
False
Question 10
Question 10
Parameters are values that are calculated from a sample, such as the mean or the median.
Parameters are values that are calculated from a sample, such as the mean or the median.
True 

False 
True
False
True
True
True
True
False
False
False
False
Question 11
Question 11
The Central Limit Theorem states that sample means, drawn from any population, will be normally distributed.
The Central Limit Theorem states that sample means, drawn from any population, will be normally distributed.
True 

False 
True
False
True
True
True
True
False
False
False
False
Question 12
Question 12
The standard normal distribution is a normal distribution with μ=0 and σ=1.
The standard normal distribution is a normal distribution with μ=0 and σ=1. The standard normal distribution is a normal distribution with μ=0 and σ=1.
True 

False 
True
False
True
True
True
True
False
False
False
False
Question 13
Question 13
Suppose you teach a small class composed of eight students with the following ages:
Suppose you teach a small class composed of eight students with the following ages:
18, 25, 21, 23, 25, 22, 23, 19.
18, 25, 21, 23, 25, 22, 23, 19.
Calculate the sampling error if the sample includes the first two ages (18, 25).
Calculate the sampling error if the sample includes the first two ages (18, 25).
Question 14
Question 14
Suppose you teach a small class composed of eight students with the following ages:
Suppose you teach a small class composed of eight students with the following ages:
18, 25, 21, 23, 25, 22, 23, 19.
18, 25, 21, 23, 25, 22, 23, 19.
Calculate the sampling error if the sample includes the first four ages (18, 25, 21, 23).
Calculate the sampling error if the sample includes the first four ages (18, 25, 21, 23).
Question 15
Question 15
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the mean of this distribution?
What is the mean of this distribution?
Question 16
Question 16
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the standard deviation of this distribution?
What is the standard deviation of this distribution?
Question 17
Question 17
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the probability that the next room will require exactly 25 minutes to clean?
What is the probability that the next room will require exactly 25 minutes to clean?
Question 18
Question 18
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the probability that the next room will require less than 30 minutes to clean?
What is the probability that the next room will require less than 30 minutes to clean?
Write your answer as a probability (i.e., a number between 0 and 1).
Write your answer as a probability (i.e., a number between 0 and 1).Write your answer as a probability (i.e., a number between 0 and 1).Write your answer as a probability (i.e., a number between 0 and 1).
Question 19
Question 19
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
The time required for housekeeping to clean a hotel room for the next customer varies between 20 and 50 minutes and follows the continuous uniform distribution.
What is the probability that the next room will require between 25 and 40 minutes to clean?
What is the probability that the next room will require between 25 and 40 minutes to clean?
Write your answer as a probability (i.e., a number between 0 and 1).
Write your answer as a probability (i.e., a number between 0 and 1).Write your answer as a probability (i.e., a number between 0 and 1).Write your answer as a probability (i.e., a number between 0 and 1).
Question 20
Question 20
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
What is the probability that, before the lowfuel light comes on, the car will travel exactly 300 miles on the next tank of gas?
What is the probability that, before the lowfuel light comes on, the car will travel exactly 300 miles on the next tank of gas?
Question 21
Question 21
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
What is the probability that, before the lowfuel light comes on, the car will travel less than 350 miles on the next tank of gas?
What is the probability that, before the lowfuel light comes on, the car will travel less than 350 miles on the next tank of gas?
Write you answer as a probability (i.e., a number between 0 and 1).
Write you answer as a probability (i.e., a number between 0 and 1).Write you answer as a probability (i.e., a number between 0 and 1).Write you answer as a probability (i.e., a number between 0 and 1).
Question 22
Question 22
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
The average number of miles driven on a full tank of gas in a Hyundai Veracruz before its lowfuel light comes on is 320. Assume this milage follows the normal distribution with a standard deviation of 30 miles.
What is the probability that, before the lowfuel light comes on, the car will travel more than 310 miles on the next tank of gas?
What is the probability that, before the lowfuel light comes on, the car will travel more than 310 miles on the next tank of gas?
Write your answer as a probability (i.e., a number between 0 and 1).
Write your answer as a probability (i.e., a number between 0 and 1).Write your answer as a probability (i.e., a number between 0 and 1).Write your answer as a probability (i.e., a number between 0 and 1).