Question 1

The sample variance (where you divide by n - 1)is an unbiased estimator of the population variance.

Accepted Answer

A) True 
 B)False

Question 2

The sample variance s 2 is an unbiased estimator of the population variance s 2 when the denominator of s 2 is

Accepted Answer

A) n + 1 
B) n 
C) n - 1 
D)    
A) n + 1 
B) n 
C) n - 1 
D)

Question 3

____________________ estimators do not have the capacity to reflect the effects of larger sample sizes.

Accepted Answer

The answer of ____________________ estimators do not have the capacity...

Question 4

Socialist Party Voters A pollster in Italy wants to challenge a claim that 5% of the registered voters in his country are Socialists; he thinks the percentage is lower than that. In a test of hypothesis, H 0: p = 0.05 vs. H 1: p {Socialist Voters Narrative} Construct a 95% confidence interval estimate of the population proportion and explain how to use it to test the hypotheses.

Accepted Answer

@#IMG-DLM& . Thus, LCL = 0.028, and UCL

Question 5

An engineer for an electric fencing company  is interested in the mean length of wires being cut automatically by machine. The desired length of the wires is 12 feet. It is known that the standard deviation in the cutting length is 0.15 feet. Suppose the engineer decided to estimate the mean length to within 0.025 with 99% confidence. What sample size would be needed?

Accepted Answer

n = 240 (u

Question 6

Estimating or testing for p is used in situations when the data are ____________________.

Accepted Answer

The answer of Estimating or testing for p is used...

Question 7

When determining the sample size needed for a proportion for a given level of confidence and sampling error, the closer to 0.50 that p is estimated to be:

Accepted Answer

A) the smaller the sample size required. 
B) the larger the sample size required. 
C) the sample size is not affected. 
D) the effect cannot be determined from the information given. 
A) the smaller the sample size required. 
B) the larger the sample size required. 
C) the sample size is not affected. 
D) the effect cannot be determined from the information given.

Question 8

Define consistency.

Accepted Answer

An unbiased estimator is said

Question 9

The formula   is used to find the ____________________ to estimate a population proportion.

Accepted Answer

The answer of The formula   is used to...

Question 10

Statisticians can control the ____________________ of a confidence interval by determining the sample size necessary to produce the desired results.

Accepted Answer

The answer of Statisticians can control the ____________________ of a...

Question 11

The test statistic for p is approximately normal when ____________________ and ____________________ are both greater than 5.

Accepted Answer

The answer of The test statistic for p is approximately...

Question 12

Socialist Party Voters A pollster in Italy wants to challenge a claim that 5% of the registered voters in his country are Socialists; he thinks the percentage is lower than that. In a test of hypothesis, H 0: p = 0.05 vs. H 1: p {Socialist Voters Narrative} Compute the p -value and explain how to use it to test the hypotheses.

Accepted Answer

p -value = 0.0735. S

Question 13

The sample variance s 2 is an unbiased estimator of the population variance s 2 when the denominator of s 2 is n .

Accepted Answer

A) True 
 B)False

Question 14

If there are two unbiased estimators of the same parameter, the one whose variance is smaller is said to be relatively more ____________________.

Accepted Answer

The answer of If there are two unbiased estimators of...

Question 15

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

Accepted Answer

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

Question 16

An estimator is said to be consistent if:

Accepted Answer

A) the difference between the estimator and the population parameter grows smaller as the sample size grows larger. 
B) it is an unbiased estimator. 
C) the variance of the estimator is zero. 
D) the difference between the estimator and the population parameter stays the same as the sample size grows larger. 
A) the difference between the estimator and the population parameter grows smaller as the sample size grows larger. 
B) it is an unbiased estimator. 
C) the variance of the estimator is zero. 
D) the difference between the estimator and the population parameter stays the same as the sample size grows larger.

Question 17

The use of the standard normal distribution for constructing confidence interval estimate for the population proportion p requires:

Accepted Answer

A) n   and n (1 -   )both greater than 5. 
B) np and n (1 - p )both greater than 5. 
C) n (1 +   )and n (1 -   )both greater than 5. 
D) sample size greater than 5. 
A) n   and n (1 -   )both greater than 5. 
B) np and n (1 - p )both greater than 5. 
C) n (1 +   )and n (1 -   )both greater than 5. 
D) sample size greater than 5.

Question 18

From a sample of 400 items, 14 are found to be defective. The point estimate of the population proportion defective will be:

Accepted Answer

A) 0.035 
B) 0.05 
C) 14 
D) 28.57 
A) 0.035 
B) 0.05 
C) 14 
D) 28.57

Question 19

The problem with relying on a point estimate of a population parameter is that:

Accepted Answer

A) it is virtually certain to be wrong. 
B) it doesn't have the capacity to reflect the effects of larger sample sizes. 
C) it doesn't tell us how close or far the point estimate might be from the parameter. 
D) All of these choices are true. 
A) it is virtually certain to be wrong. 
B) it doesn't have the capacity to reflect the effects of larger sample sizes. 
C) it doesn't tell us how close or far the point estimate might be from the parameter. 
D) All of these choices are true.

Question 20

The error of estimation is the ____________________ between an estimator and the parameter.

Accepted Answer

The answer of The error of estimation is the ____________________...

The sample variance (where you divide by n - 1)is an unbiased estimator of the population variance.

The sample variance s ² is an unbiased estimator of the population variance s ² when the denominator of s ² is

____________________ estimators do not have the capacity to reflect the effects of larger sample sizes.

Estimating or testing for p is used in situations when the data are ____________________.

When determining the sample size needed for a proportion for a given level of confidence and sampling error, the closer to 0.50 that p is estimated to be:

Define consistency.

The formula is used to find the ____________________ to estimate a population proportion.

Statisticians can control the ____________________ of a confidence interval by determining the sample size necessary to produce the desired results.

The test statistic for p is approximately normal when and are both greater than 5.

The sample variance s ² is an unbiased estimator of the population variance s ² when the denominator of s ² is n .

If there are two unbiased estimators of the same parameter, the one whose variance is smaller is said to be relatively more ____________________.

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

An estimator is said to be consistent if:

The use of the standard normal distribution for constructing confidence interval estimate for the population proportion p requires:

From a sample of 400 items, 14 are found to be defective. The point estimate of the population proportion defective will be:

The problem with relying on a point estimate of a population parameter is that:

The error of estimation is the ____________________ between an estimator and the parameter.

What Is Statistics

Graphical and Tabular Descriptive Techniques

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 Populat

Inference About Comparing Two Populat

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlat

Multiple Regression

Review of Statistical Inference

Filters

Exam 9: Introduction to Estimation

The sample variance (where you divide by n - 1)is an unbiased estimator of the population variance.

The sample variance s 2 is an unbiased estimator of the population variance s 2 when the denominator of s 2 is

____________________ estimators do not have the capacity to reflect the effects of larger sample sizes.

Estimating or testing for p is used in situations when the data are ____________________.

When determining the sample size needed for a proportion for a given level of confidence and sampling error, the closer to 0.50 that p is estimated to be:

Define consistency.

The formula is used to find the ____________________ to estimate a population proportion.

Statisticians can control the ____________________ of a confidence interval by determining the sample size necessary to produce the desired results.

The test statistic for p is approximately normal when ____________________ and ____________________ are both greater than 5.

The sample variance s 2 is an unbiased estimator of the population variance s 2 when the denominator of s 2 is n .

If there are two unbiased estimators of the same parameter, the one whose variance is smaller is said to be relatively more ____________________.

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

An estimator is said to be consistent if:

The use of the standard normal distribution for constructing confidence interval estimate for the population proportion p requires:

From a sample of 400 items, 14 are found to be defective. The point estimate of the population proportion defective will be:

The problem with relying on a point estimate of a population parameter is that:

The error of estimation is the ____________________ between an estimator and the parameter.

What Is Statistics

Graphical and Tabular Descriptive Techniques

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 Populat

Inference About Comparing Two Populat

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlat

Multiple Regression

Review of Statistical Inference

Filters

The sample variance s ² is an unbiased estimator of the population variance s ² when the denominator of s ² is

The test statistic for p is approximately normal when and are both greater than 5.

The sample variance s ² is an unbiased estimator of the population variance s ² when the denominator of s ² is n .