Question 1

When estimating the population mean using a confidence interval, the sample mean is in the ____________________ of the interval.

Accepted Answer

The answer of When estimating the population mean using a...

Question 2

Which of the following statements is false regarding the sample size needed to estimate a population mean?

Accepted Answer

A) It is directly proportional to the population variance. 
B) It is directly proportional to the square of z $\alpha$ / 2. 
C) It is directly proportional to the square of the maximum allowable error B. 
D) None of these choices. 
A) It is directly proportional to the population variance. 
B) It is directly proportional to the square of z $\alpha$ / 2. 
C) It is directly proportional to the square of the maximum allowable error B. 
D) None of these choices.

Question 3

If the population standard deviation is guesstimated, and it turned out to be smaller than you assumed, then the sample size you calculated is ____________________ than it needs to be.

Accepted Answer

larger
big

Question 4

The librarian at the New York City Public Library has asked her assistant for an interval estimate of the mean number of books checked out each day. The assistant took a sample and found the mean to be 880 books. She provides the librarian with an interval estimate of between 790 and 970 books checked out per day. An efficient, unbiased point estimate of the number of books checked out each day at the New York City Public Library is:

Accepted Answer

A) 790 
B) 880 
C) 90 
D) None of these choices. 
A) 790 
B) 880 
C) 90 
D) None of these choices.

Question 5

Determine the sample size that is required to estimate a population mean to within 0.4 units with a 99% confidence when the population standard deviation is 1.75.

Accepted Answer

128 (using

Question 6

Knowing that an estimator is unbiased only assures us that its expected value equals the parameter, but it does not tell us how close the estimator is to the parameter.

Accepted Answer

A) True 
 B)False

Question 7

NARRBEGIN: Time Spent Playing Comput
Time Spent Playing Computer Games
Suppose that the amount of time teenagers spend playing computer games per week is normally distributed with a standard deviation of 1.5 hours. A sample of 100 teenagers is selected at random, and the sample mean computed as 6.5 hours.NARREND
-{Time Spent Playing Computer Games Narrative} Interpret the 95% confidence interval for this situation.

Accepted Answer

Based on our sample, we estima

Question 8

The term 1 - $\alpha$ refers to the probability that a confidence interval does not contain the population parameter.

Accepted Answer

A) True 
 B)False

Question 9

One can reduce the width of a confidence interval by taking a smaller sample size.

Accepted Answer

A) True 
 B)False

Question 10

A confidence interval is defined as:

Accepted Answer

A) a point estimate plus or minus a specific confidence level. 
B) a lower and upper confidence limit associated with a specific level of confidence. 
C) an interval that has a 95% probability of containing the population parameter. 
D) a lower and upper confidence limit that has a 95% probability of containing the population parameter. 
A) a point estimate plus or minus a specific confidence level. 
B) a lower and upper confidence limit associated with a specific level of confidence. 
C) an interval that has a 95% probability of containing the population parameter. 
D) a lower and upper confidence limit that has a 95% probability of containing the population parameter.

Question 11

The smallest number in a confidence interval is abbreviated by ____________________.

Accepted Answer

The answer of The smallest number in a confidence interval...

Question 12

If the bound on the error of estimation decreases, the sample size ____________________.

Accepted Answer

The answer of If the bound on the error of...

When estimating the population mean using a confidence interval, the sample mean is in the ____________________ of the interval.

Which of the following statements is false regarding the sample size needed to estimate a population mean?

If the population standard deviation is guesstimated, and it turned out to be smaller than you assumed, then the sample size you calculated is ____________________ than it needs to be.

Determine the sample size that is required to estimate a population mean to within 0.4 units with a 99% confidence when the population standard deviation is 1.75.

Knowing that an estimator is unbiased only assures us that its expected value equals the parameter, but it does not tell us how close the estimator is to the parameter.

The term 1 - $\alpha$ refers to the probability that a confidence interval does not contain the population parameter.

One can reduce the width of a confidence interval by taking a smaller sample size.

A confidence interval is defined as:

The smallest number in a confidence interval is abbreviated by ____________________.

If the bound on the error of estimation decreases, the sample size ____________________.

What Is Statistics

Graphical Descriptive Techniques I

Graphical Descriptive Techniques II

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations

Analysis of Variance

Chi-Squared Tests Optional

Simple Linear Regression and Correlation

Multiple Regression

Filters

Exam 10: Introduction to Estimation

When estimating the population mean using a confidence interval, the sample mean is in the ____________________ of the interval.

Which of the following statements is false regarding the sample size needed to estimate a population mean?

If the population standard deviation is guesstimated, and it turned out to be smaller than you assumed, then the sample size you calculated is ____________________ than it needs to be.

Determine the sample size that is required to estimate a population mean to within 0.4 units with a 99% confidence when the population standard deviation is 1.75.

Knowing that an estimator is unbiased only assures us that its expected value equals the parameter, but it does not tell us how close the estimator is to the parameter.

The term 1 - α\alphaα refers to the probability that a confidence interval does not contain the population parameter.

One can reduce the width of a confidence interval by taking a smaller sample size.

A confidence interval is defined as:

The smallest number in a confidence interval is abbreviated by ____________________.

If the bound on the error of estimation decreases, the sample size ____________________.

What Is Statistics

Graphical Descriptive Techniques I

Graphical Descriptive Techniques II

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations

Analysis of Variance

Chi-Squared Tests Optional

Simple Linear Regression and Correlation

Multiple Regression

Filters

The term 1 - $\alpha$ refers to the probability that a confidence interval does not contain the population parameter.