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1) The weighted mean is...

1) The weighted mean is a special case of the:

A. Median

B. Mode

C. Mean

D. Geometric mean

2) A difference between calculating the sample mean and the population mean is:

A. We divide the sum of the observations by n - 1 instead of n

B. The observations are ranked and select the middle value for the population mean.

C. Only in the symbols, we use instead of µ and n instead of N.

D. There are no differences.

3) Which of the following measures of central location is affected most by extreme values?

A. Mean

B. Mode

C. Median

D. Geometric mean

4) Which of the following is not a requirement of a probability distribution?

A. Sum of the possible outcomes is 1.00.

B. The outcomes are mutually exclusive.

C. Equally likely probability of a success.

D. The probability of each outcome is between 0 and 1.

5) The mean and the variance are equal in

A. The binomial distribution.

B. The Poisson distribution.

C. All probability distributions.

D. The hypergeometric distribution.

6) Which of the following is not a requirement of a binomial distribution?

A. Only two possible outcomes.

B. A fixed number of trails.

C. A constant probability of success.

D. Equally likely outcomes.

7) Suppose a population consisted of 20 items. How many different samples of n = 3 are possible?

A. 1140

B. 20

C. 6840

D. 120

8) In a simple random sample

A. Every Kth item is selected to be in the sample.

B. Every item has a chance to be in the sample.

C. Every item has the same chance to be in the sample.

D. All of these

9) The difference between the sample mean and the population mean is called the

A. Population standard deviation.

B. Standard error of the mean.

C. Population mean.

D. Sampling error.

10) 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 these

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, and we have a sample of 10 observations. We decide to use the 90% level of confidence. The appropriate value of to represent the level of confidence is

A. z=1.96

B. t=1.833

C. z =1.65

D. t=1.812

12) Which of the following statements is not a characteristic of the t distribution?

A. It has a mean of 0.

B. It is symmetrical.

C. It is a continuous distribution.

D. Like z there is only one t distribution.

13) The Special Rule of Addition is used to combine

A. Mutually exclusive events

B. Independent events.

C. Events that total more than one.

D. Events based on subjective probabilities

14) Which of the following is not a type of probability?

A. Independent

B. Subjective

C. Relative frequency

D. Classical

15) Events are independent if

A. The probability of their occurrence is greater than 1.

B. By virtue of one event happening another cannot.

C. We can count the possible outcomes.

D. The probability of one event happening does not affect the probability of another event happening.

16) A nominal scale variable is

A. Has a meaningful zero point.

B. Usually the result of counting something.

C. May assume negative values.

D. Cannot have more than two categories.

17) A discrete variable is

A. Can assume only whole number values.

B. An example of a qualitative variable.

C. Can assume only certain clearly separated values

D. Cannot be negative.

18) Which of the following statements is true regarding a sample?

A. It is a part of population.

B. It must contain at least five observations.

C. It refers to descriptive statistics

D. All of these are correct

19) In a two-sample test of means for independent samples, we use the z distribution when

A. Both populations have at least 4,000 observations.

B. The population standard deviations are equal.

C. Both population standard deviations are known.

D. nB and n(1-B) are both greater than 5.

20) A Type I error is

A. A value determined from the test statistic

B. The correct decision

C. Rejecting the null hypothesis when it is true

D. Accepting the null hypothesis when it is false.

21) The alternate hypothesis

A. Will always contain the equal sign.

B. Is accepted if the null hypothesis is rejected.

C. Tells the value of the sample mean.

D. None of these

22) In a contingency table

A. The number of rows must be the same as the number of columns.

B. A variable is classified according to two criteria.

C. There must be at least 10 observations in each cell.

D. All of these

23) In a goodness-of-fit test where the sample size is 200, there are 5 categories, and the significance le

A. Median

B. Mode

C. Mean

D. Geometric mean

2) A difference between calculating the sample mean and the population mean is:

A. We divide the sum of the observations by n - 1 instead of n

B. The observations are ranked and select the middle value for the population mean.

C. Only in the symbols, we use instead of µ and n instead of N.

D. There are no differences.

3) Which of the following measures of central location is affected most by extreme values?

A. Mean

B. Mode

C. Median

D. Geometric mean

4) Which of the following is not a requirement of a probability distribution?

A. Sum of the possible outcomes is 1.00.

B. The outcomes are mutually exclusive.

C. Equally likely probability of a success.

D. The probability of each outcome is between 0 and 1.

5) The mean and the variance are equal in

A. The binomial distribution.

B. The Poisson distribution.

C. All probability distributions.

D. The hypergeometric distribution.

6) Which of the following is not a requirement of a binomial distribution?

A. Only two possible outcomes.

B. A fixed number of trails.

C. A constant probability of success.

D. Equally likely outcomes.

7) Suppose a population consisted of 20 items. How many different samples of n = 3 are possible?

A. 1140

B. 20

C. 6840

D. 120

8) In a simple random sample

A. Every Kth item is selected to be in the sample.

B. Every item has a chance to be in the sample.

C. Every item has the same chance to be in the sample.

D. All of these

9) The difference between the sample mean and the population mean is called the

A. Population standard deviation.

B. Standard error of the mean.

C. Population mean.

D. Sampling error.

10) 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 these

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, and we have a sample of 10 observations. We decide to use the 90% level of confidence. The appropriate value of to represent the level of confidence is

A. z=1.96

B. t=1.833

C. z =1.65

D. t=1.812

12) Which of the following statements is not a characteristic of the t distribution?

A. It has a mean of 0.

B. It is symmetrical.

C. It is a continuous distribution.

D. Like z there is only one t distribution.

13) The Special Rule of Addition is used to combine

A. Mutually exclusive events

B. Independent events.

C. Events that total more than one.

D. Events based on subjective probabilities

14) Which of the following is not a type of probability?

A. Independent

B. Subjective

C. Relative frequency

D. Classical

15) Events are independent if

A. The probability of their occurrence is greater than 1.

B. By virtue of one event happening another cannot.

C. We can count the possible outcomes.

D. The probability of one event happening does not affect the probability of another event happening.

16) A nominal scale variable is

A. Has a meaningful zero point.

B. Usually the result of counting something.

C. May assume negative values.

D. Cannot have more than two categories.

17) A discrete variable is

A. Can assume only whole number values.

B. An example of a qualitative variable.

C. Can assume only certain clearly separated values

D. Cannot be negative.

18) Which of the following statements is true regarding a sample?

A. It is a part of population.

B. It must contain at least five observations.

C. It refers to descriptive statistics

D. All of these are correct

19) In a two-sample test of means for independent samples, we use the z distribution when

A. Both populations have at least 4,000 observations.

B. The population standard deviations are equal.

C. Both population standard deviations are known.

D. nB and n(1-B) are both greater than 5.

20) A Type I error is

A. A value determined from the test statistic

B. The correct decision

C. Rejecting the null hypothesis when it is true

D. Accepting the null hypothesis when it is false.

21) The alternate hypothesis

A. Will always contain the equal sign.

B. Is accepted if the null hypothesis is rejected.

C. Tells the value of the sample mean.

D. None of these

22) In a contingency table

A. The number of rows must be the same as the number of columns.

B. A variable is classified according to two criteria.

C. There must be at least 10 observations in each cell.

D. All of these

23) In a goodness-of-fit test where the sample size is 200, there are 5 categories, and the significance le

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