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Exam 1: What Is Statistics

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Question 21

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The significance level of a statistical inference measures:

A) the proportion of times a conclusion about a population will be correct in the long run.
B) the proportion of times a conclusion about a population will be wrong in the long run.
C) the proportion of times an estimation procedure will be correct in the long run.
D) the proportion of times an estimation procedure will be wrong in the long run.

E) A) and C)
F) B) and C)

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Question 22

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What name do we give to a descriptive measure of a sample?

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Question 23

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Each of the following is a form of doing ____________________ statistics: 1) presenting your data using a graph; 2) calculating the mean of your sample; and 3) organizing your data into a table.

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.

You take a random sample to estimate a population mean and your results have a confidence level of 80%. That means the process you used will give you correct results 80% of the time.

The Surgeon General wanted to study malpractice litigation in Chicago. A sample of 32,000 medical records was selected from all 3.5 million patients who were discharged during the year 2011. Using the information from the sample to make conclusions about malpractice litigation in Chicago is an example of doing ____________________ statistics.

The Owner of a large manufacturing company wishes to develop a new employee health benefits package. He selects 500 employees at random and asks them about their preferences regarding their current health benefits package. The 500 employees selected is a(n) ____________________.

Statistical inference is the process of making an estimate, prediction, or decision about a population based on sample data.

The process of using sample statistics to draw conclusions about population parameters is called:

A descriptive measure that is computed from a sample is called a:

What name do we give to a descriptive measure of a population?

Which of the following is a measure of the reliability of a statistical inference?

A descriptive measure of a population is called a parameter.

A summary measure that is computed from a sample is called a statistic.

A summary measure that is computed from a population is called a:

A study is under way to determine the average height of all 63,000 adult walnut trees in a certain national forest. The heights of 950 randomly selected adult walnut trees are measured and analyzed. The sample in this study is:

Briefly describe the difference between a population and a sample and give an example of each.

A researcher at Florida International University (FIU) wants to estimate the average number of credits earned by students last semester at FIU. She randomly selects 750 students from last semester and finds that they averaged 13.75 credits per student. The population of interest to the researcher is:

Briefly describe the difference between a parameter and a statistic, and give an example of each.