RES/341 Final Exam

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1) A sufficiently large coverage error will result in which of the following?

A. Statistics about the actual population rather than the target population

B. Non-response bias

C. Probability sampling

D. Inability to perform inferential statistics

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

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

B. There is no difference.

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

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

3) A survey was mailed to a total of 400 students; 100 were randomly selected from each of the freshman, sophomore, junior and senior classes last semester. What sampling method was used?

A. Systematic sample

B. Cluster sample

C. Stratified sample

D. Simple random sample

4) Which of the following is not a reason one should have knowledge of statistics?

A. To help interpret existing information

B. To increase the amount of information available for use

C. To make future projections of one’s sales

D. To be able to mount an effective effort to change a government regulation that negatively affects one’s business

5) The collection and summarization of the socioeconomic and physical characteristics of the employees of a particular firm is an example of

A. a statistic.

B. a parameter.

C. inferential statistics.

D. descriptive statistics.

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

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

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

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

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

Progress:

(0/24)

1) A sufficiently large coverage error will result in which of the following?

A. Statistics about the actual population rather than the target population

B. Non-response bias

C. Probability sampling

D. Inability to perform inferential statistics

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

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

B. There is no difference.

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

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

3) A survey was mailed to a total of 400 students; 100 were randomly selected from each of the freshman, sophomore, junior and senior classes last semester. What sampling method was used?

A. Systematic sample

B. Cluster sample

C. Stratified sample

D. Simple random sample

4) Which of the following is not a reason one should have knowledge of statistics?

A. To help interpret existing information

B. To increase the amount of information available for use

C. To make future projections of one’s sales

D. To be able to mount an effective effort to change a government regulation that negatively affects one’s business

5) The collection and summarization of the socioeconomic and physical characteristics of the employees of a particular firm is an example of

A. a statistic.

B. a parameter.

C. inferential statistics.

D. descriptive statistics.

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

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

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

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

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

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