1) What is the difference between probability sampling and simple random sampling?

A. There is no difference.

B. Probability sampling is a type of simple random sample.

C. Simple random sampling is a type of probability sampling.

D. In probability sampling each item has an identical chance of being chosen.

2) A poll is planned to determine what proportion of all students favor an increase in fees to support a new track and field stadium. A questionnaire will be published and the first 1000 completed questionnaires will be analyzed. Which of the following errors will be associated with the sample?

A. Sampling errors and errors due to selection bias

B. Errors due to interviewer bias and selection bias

C. Only non-sampling errors

D. Sampling errors only

3) A statistician working for the Department of the Interior is constructing a systematic random sample of trees in a forest preserve. All trees have been identified and numbered with a non-invasive number attached to the bark. The statistician wishes to estimate the mean height of the trees in the forest preserve, and has calculated an appropriate sample size of n=43 trees. The 587th of the 731 trees in the preserve was selected as the first observation in the sample. What is the tree number of the second observation in the sample?

A. 544

B. 588

C. 604

D. 630

4) Which of the following is not a characteristic of an ideal statistician?

A. Technically current (e.g. software)

B. Communicates well (both written and oral)

C. Adapts answers to client desires

D. Can deal with imperfect information

5) Which of the following statements is false?

A. A summary measure calculated from all items of interest is a parameter.

B. A summary measure calculated from some of the items of interest is a statistic.

C. The main goal of descriptive statistics is to estimate characteristics of populations.

D. Statistical inference is the process of making a prediction based on only a small piece of information.

6) Which of the following is an example of statistical inference?

A. Counting the number of patients who file malpractice suits after being discharged from hospitals in New York State.

B. Calculating the mean number of fruit trees damaged by Mediterranean fruit flies in California last year.

C. Calculating the mean age of patients discharged from hospitals in New York State in 1997.

D. Calculating the amount of fly spray needed for your orchard next season.

A. There is no difference.

B. Probability sampling is a type of simple random sample.

C. Simple random sampling is a type of probability sampling.

D. In probability sampling each item has an identical chance of being chosen.

2) A poll is planned to determine what proportion of all students favor an increase in fees to support a new track and field stadium. A questionnaire will be published and the first 1000 completed questionnaires will be analyzed. Which of the following errors will be associated with the sample?

A. Sampling errors and errors due to selection bias

B. Errors due to interviewer bias and selection bias

C. Only non-sampling errors

D. Sampling errors only

3) A statistician working for the Department of the Interior is constructing a systematic random sample of trees in a forest preserve. All trees have been identified and numbered with a non-invasive number attached to the bark. The statistician wishes to estimate the mean height of the trees in the forest preserve, and has calculated an appropriate sample size of n=43 trees. The 587th of the 731 trees in the preserve was selected as the first observation in the sample. What is the tree number of the second observation in the sample?

A. 544

B. 588

C. 604

D. 630

4) Which of the following is not a characteristic of an ideal statistician?

A. Technically current (e.g. software)

B. Communicates well (both written and oral)

C. Adapts answers to client desires

D. Can deal with imperfect information

5) Which of the following statements is false?

A. A summary measure calculated from all items of interest is a parameter.

B. A summary measure calculated from some of the items of interest is a statistic.

C. The main goal of descriptive statistics is to estimate characteristics of populations.

D. Statistical inference is the process of making a prediction based on only a small piece of information.

6) Which of the following is an example of statistical inference?

A. Counting the number of patients who file malpractice suits after being discharged from hospitals in New York State.

B. Calculating the mean number of fruit trees damaged by Mediterranean fruit flies in California last year.

C. Calculating the mean age of patients discharged from hospitals in New York State in 1997.

D. Calculating the amount of fly spray needed for your orchard next season.

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