Question 1

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

Accepted Answer

The answer of What name do we give to a...

Question 2

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

Accepted Answer

The answer of Briefly describe the difference between a parameter...

Question 3

Which of the following represents a population, as opposed to a sample?
A) 2,000 respondents to a magazine survey which has 600,000 subscribers.
B) The first 15 students in your class completing a final exam.
C) Every fourth student to arrive at the book store on your campus.
D) All registered voters in the state of West Virginia

Accepted Answer

A population refers to the entire group of individuals that a researcher is interested in studying, while a sample is a subset of the population. Option D represents all registered voters in the state of West Virginia, which is a clear representation of a population. Options A, B, and C are all examples of samples since they represent only a subset of a larger group.

Question 4

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:
A) the average height of the 950 randomly selected adult walnut trees.
B) the average height of all the adult walnut trees in this forest.
C) all the adult walnut trees in this forest.
D) the 950 adult walnut trees selected at random from this forest.

Accepted Answer

The sample in this study is the 950 adult walnut trees selected at random from this forest. This sample is used to estimate the average height of all 63,000 adult walnut trees in the forest. The sample is not representative of the entire population, but using statistical techniques, the sample can give a good estimate of the population parameter of interest.

Question 5

The Commissioner of Health in the state of New York wanted to study malpractice litigation in Albany last year. She randomly selected 53,000 medical records from the population of 2.5 million patients in Albany last year. The proportion of malpractice claims filed from the 53,000 patients is an example of a(n) ____________________.

Accepted Answer

The answer of The Commissioner of Health in the state...

Question 6

The Human Resources Director at Florida Atlantic University wishes to develop an employee benefits package. To get an idea of what components of a benefits package are most important, he selects 350 employees at random and asks them for their opinions. Numerically summarizing the preferences of these 350 employees is an example of doing ____________________ statistics.

Accepted Answer

The answer of The Human Resources Director at Florida Atlantic...

Question 7

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) ____________________.

Accepted Answer

The answer of The Owner of a large manufacturing company...

Question 8

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.

Accepted Answer

The answer of Each of the following is a form...

Question 9

The Attorney General of the state of California wanted to study criminal law in Los Angeles last year. He randomly selected 46,000 criminal records from the population of 1.5 million convicts in Los Angeles last year. From this sample, he calculated the proportion of litigations, the average amount of money involved per litigation, and the proportion of litigations resulting in a conviction. These calculations are all examples of doing ____________________ statistics.

Accepted Answer

The answer of The Attorney General of the state of...

Question 10

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

Accepted Answer

The answer of What name do we give to a...

Question 11

The Human Resources Director of a large hospital wants to determine the percentage of all employees who favor a newly proposed benefits package. He selects 300 employees at random and finds that 85% approve the newly proposed package. The percentage of all employees of this company who favor the newly proposed package is a(n) ____________________.

Accepted Answer

The answer of The Human Resources Director of a large...

Question 12

The Human Resources Director at Illinois State University wishes to develop an employee pension package. To get an idea of what components of a pension package are most important, he selects 525 employees at random and asks them for their opinions. The group of all employees at ISU is known as the ____________________.

Accepted Answer

The answer of The Human Resources Director at Illinois State...

Question 13

A study is under way to determine the average height of all 29,000 adult pine trees in a certain national forest. The heights of 600 randomly selected adult pine trees are measured and analyzed. The parameter in the study is:
A) the average height of the 600 randomly selected adult pine trees.
B) the average height of all the adult pine trees in this forest.
C) all the adult pine trees in this forest.
D) the 600 adult pine trees selected at random from this forest.

Accepted Answer

The parameter in the study is the average height of all the adult pine trees in this forest. The goal is to estimate this parameter using the sample of 600 randomly selected adult pine trees. The sample mean may provide an estimate of the population mean, but it is not the parameter of interest. Similarly, the entire population of adult pine trees in the forest is not the parameter of interest, but rather the average height of this population. Finally, D is also incorrect because it refers to the specific sample of 600 trees, which is not the parameter being estimated.

Question 14

How do confidence levels compare to significance levels?
A) Confidence levels and significance levels are both typically small.
B) Confidence levels and significance levels are both typically large.
C) Confidence levels are typically small and significance levels are typically large.
D) Confidence levels are typically large and significance levels are typically small.

Accepted Answer

Confidence levels and significance levels are related, but they are not the same thing. Confidence levels have to do with estimating the range within which a population parameter likely falls, while significance levels have to do with determining the probability of observing a sample result as extreme as the one obtained, assuming the null hypothesis is true.

Confidence levels are typically large, meaning they encompass a wide range of possible values for the population parameter. Higher confidence levels correspond to wider intervals.

Significance levels, on the other hand, are typically small. The most common significance level is 0.05, which means that there is only a 5% chance of obtaining a sample result as extreme as the one observed, assuming the null hypothesis is true.

Therefore, choice D is correct as Confidence levels are typically large and significance levels are typically small.

Question 15

The confidence 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.

Accepted Answer

The answer of The confidence level of a statistical inference...

Question 16

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.

Accepted Answer

The significance level of a statistical inference measures the proportion of times a conclusion about a population will be wrong in the long run. This is also known as the Type I error rate. In other words, it measures the probability of rejecting a true null hypothesis.

Question 17

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.

Accepted Answer

The answer of The Surgeon General wanted to study malpractice...

Question 18

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

Accepted Answer

The answer of Briefly describe the difference between a population...

Question 19

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:
A) all FIU students.
B) all college students.
C) all FIU students enrolled last semester.
D) the 750 FIU students selected at random.

Accepted Answer

The population of interest is all FIU students enrolled last semester, as the researcher is trying to estimate the average number of credits earned by these specific students. The sample of 750 students is a random selection from this population. Option A is too broad and includes FIU students who may not have been enrolled last semester, while option B includes all college students which is not relevant to the study. Option D is only the sample itself and not the population of interest.

Quiz 1: What Is Statistics

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

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

Which of the following represents a population, as opposed to a sample?

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:

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) ____________________.

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.

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

A study is under way to determine the average height of all 29,000 adult pine trees in a certain national forest. The heights of 600 randomly selected adult pine trees are measured and analyzed. The parameter in the study is:

How do confidence levels compare to significance levels?

The confidence level of a statistical inference measures:

The significance level of a statistical inference measures:

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