QNT 561 Final Exam
1. A difference between calculating the sample mean & the population mean is
A. Only in the symbols, we use instead of µ & n instead of N
B. We divide the sum of the observations by n - 1 instead of n
C. The observations are ranked & select the middle value for the population mean
D. There are no differences
2. Which of the following measures of central location is affected most by extreme values?
A. Median
B. Mean
C. Mode
D. Geometric mean
3. Which level of measurement is required for the median?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
4. In which of the following distributions is the probability of a success usually small?
A. Binomial
B. Poisson
C. Hyper geometric
D. All distribution
5. Which of the following is not a requirement of a probability distribution?
A. Equally likely probability of a success
B. Sum of the possible outcomes is 1.00
C. The outcomes are mutually exclusive
D. The probability of each outcome is between 0 & 1
6. Which of the following is not a requirement of a binomial distribution?
A. A constant probability of success
B. Only two possible outcomes
C. A fixed number of trails
D. Equally likely outcomes
7. A sample
A. Is a part of the population
B. Has more than 30 observations
C. Is usually identified as N
D. All of the above
8. The difference between the sample mean & the population mean is called the
A. Population mean.
, B. Population standard deviation
C. Standard error of the mean
D. Sampling error
9. Suppose a population consisted of 20 items. How many different sample of n = 3 are possible?
A. 6840
B. 1140
C. 20
D. 120
10. A point estimate is
A. Always an estimate of the population mean
B. Always equal to the population value
C. An estimate of the population parameter
D. None of the above
11. We wish to develop a confidence interval for the population mean. The population follows
the normal distribution, the standard deviation of the population is 3, & we have a sample of 10
observations. We decide to use the 90 percent level of confidence. The appropriate value of to
represent the level of confidence is
A. z =1.65
B. z = 1.96
C. t = 1.833
D. t = 1.812
12. A confidence interval
A. Always includes the population parameter
B. Decreases in width as the sample size is increased
C. Cannot include a value of 0
D. None of the above
13. The Special Rule of Addition is used to combine
A. Independent events
B. Mutually exclusive events
C. Events that total more than one
D. Events based on subjective probabilities
14. We use the General Rule of Multiplication to combine
A. Events that are not independent
B. Mutually exclusive events
C. Events that total more than 1.00
D. Events based on subjective probabilities
15. An experiment is a
A. Collection of events
B. Collection of outcomes
1. A difference between calculating the sample mean & the population mean is
A. Only in the symbols, we use instead of µ & n instead of N
B. We divide the sum of the observations by n - 1 instead of n
C. The observations are ranked & select the middle value for the population mean
D. There are no differences
2. Which of the following measures of central location is affected most by extreme values?
A. Median
B. Mean
C. Mode
D. Geometric mean
3. Which level of measurement is required for the median?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
4. In which of the following distributions is the probability of a success usually small?
A. Binomial
B. Poisson
C. Hyper geometric
D. All distribution
5. Which of the following is not a requirement of a probability distribution?
A. Equally likely probability of a success
B. Sum of the possible outcomes is 1.00
C. The outcomes are mutually exclusive
D. The probability of each outcome is between 0 & 1
6. Which of the following is not a requirement of a binomial distribution?
A. A constant probability of success
B. Only two possible outcomes
C. A fixed number of trails
D. Equally likely outcomes
7. A sample
A. Is a part of the population
B. Has more than 30 observations
C. Is usually identified as N
D. All of the above
8. The difference between the sample mean & the population mean is called the
A. Population mean.
, B. Population standard deviation
C. Standard error of the mean
D. Sampling error
9. Suppose a population consisted of 20 items. How many different sample of n = 3 are possible?
A. 6840
B. 1140
C. 20
D. 120
10. A point estimate is
A. Always an estimate of the population mean
B. Always equal to the population value
C. An estimate of the population parameter
D. None of the above
11. We wish to develop a confidence interval for the population mean. The population follows
the normal distribution, the standard deviation of the population is 3, & we have a sample of 10
observations. We decide to use the 90 percent level of confidence. The appropriate value of to
represent the level of confidence is
A. z =1.65
B. z = 1.96
C. t = 1.833
D. t = 1.812
12. A confidence interval
A. Always includes the population parameter
B. Decreases in width as the sample size is increased
C. Cannot include a value of 0
D. None of the above
13. The Special Rule of Addition is used to combine
A. Independent events
B. Mutually exclusive events
C. Events that total more than one
D. Events based on subjective probabilities
14. We use the General Rule of Multiplication to combine
A. Events that are not independent
B. Mutually exclusive events
C. Events that total more than 1.00
D. Events based on subjective probabilities
15. An experiment is a
A. Collection of events
B. Collection of outcomes
