BSTAT2 2nd Edition By Gerald Keller – Test Bank
CHAPTER 1: WHAT IS STATISTICS?
TRUE/FALSE
- The significance level measures the proportion of the time an inference about a population will be correct in the long run.
ANS: F NAT: Analytic; Statistical Inference
- A summary measure that is computed from a sample is called a statistic.
ANS: T NAT: Analytic; Statistical Inference
- The confidence level is the proportion of times that an estimating procedure will be wrong in the long run.
ANS: F NAT: Analytic; Statistical Inference
- A resort employs 3,500 managers and staff. To ascertain their employees’ opinions of a proposed health insurance plan, 350 employees are surveyed at random. The proportion of the 350 employees who favor the health insurance plan represents a parameter in this scenario.
ANS: F NAT: Analytic; Statistical Inference
- In a sample of 350 students selected from a large college of business, 25% are found to be marketing majors. The 25% is a statistic.
ANS: T NAT: Analytic; Statistical Inference
- 35% of a sample of 300 professional baseball players indicated that their parents did not play baseball. Based on this sample, we estimate that approximately 35% of the parents of all professional baseball players did not play baseball, plus or minus 5%. This is an example of using inferential statistics.
ANS: T NAT: Analytic; Statistical Inference
- A population is the group of all items of interest to a statistics practitioner.
ANS: T NAT: Analytic; Statistical Inference
- A statistic is typically a known quantity while a parameter is typically an unknown quantity.
ANS: T NAT: Analytic; Statistical Inference
- Statistical inference is the process of making an estimate, prediction, or decision about a population based on sample data.
ANS: T NAT: Analytic; Statistical Inference
- A descriptive measure of a population is called a parameter.
ANS: T NAT: Analytic; Statistical Inference
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