Question 1

In selecting the sample size to estimate the population proportion p, if we have no knowledge of even the approximate values of the sample proportion   , we:

Accepted Answer

A)  take another sample and estimate. 
B)  take two more samples and find the average of their. 
C)  let= 0.50. 
D)  let= 0.95. 
A)  take another sample and estimate. 
B)  take two more samples and find the average of their. 
C)  let= 0.50. 
D)  let= 0.95.

Question 2

Physicians: A random sample of 200 physicians shows that there are 36 of them who make at least $400,000 a year.
-Construct a 99% confidence interval estimate of the population proportion of physicians who make at least $400,000 a year, and explain how to use it to test the hypotheses.

Accepted Answer

@#IMG-DLM& . Thus, LCL = 0.11, and UCL =

Question 3

Which of the following would be an appropriate null hypothesis?

Accepted Answer

A)  The population proportion is equal to 0.60. 
B)  The sample proportion is equal to 0.60. 
C)  The population proportion is not equal to 0.60. 
D)  All of these choices are true. 
A)  The population proportion is equal to 0.60. 
B)  The sample proportion is equal to 0.60. 
C)  The population proportion is not equal to 0.60. 
D)  All of these choices are true.

Question 4

Define relative efficiency.

Accepted Answer

If there are two unbiased esti

Question 5

If there are two unbiased estimators of a population parameter available, the one that has the smallest variance is said to be:

Accepted Answer

A)  a biased estimator. 
B)  relatively efficient. 
C)  consistent. 
D)  relatively unbiased. 
A)  a biased estimator. 
B)  relatively efficient. 
C)  consistent. 
D)  relatively unbiased.

Question 6

Which of the following statements is true?

Accepted Answer

A)  The sample mean is relatively more efficient than the sample median. 
B)  The version of the sample variance where you divide by n is biased. 
C)  The sample mean is consistent. 
D)  All of these choices are true. 
A)  The sample mean is relatively more efficient than the sample median. 
B)  The version of the sample variance where you divide by n is biased. 
C)  The sample mean is consistent. 
D)  All of these choices are true.

Question 7

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, HS1U1B10S1U1B0: p = 0.05 vs. HS1U1B11S1U1B0: p < 0.05, his random sample of size 1,000 registered voters revealed that the number of Socialists was 40.
-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 8

Physicians: A random sample of 200 physicians shows that there are 36 of them who make at least $400,000 a year.
-Compute the p-value and explain how to use it to test the hypotheses.

Accepted Answer

p-value = 0.0233.
Si

Question 9

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

Accepted Answer

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

Question 10

The confidence interval estimate of the population mean is constructed around the sample mean.

Accepted Answer

A) True 
 B)False

Question 11

To produce a confidence interval estimator for the total, we multiply the lower and upper confidence limits of the interval estimator of p by ____________________.

Accepted Answer

N
the popu

Question 12

An unbiased estimator is a sample statistic whose expected value equals the population parameter.

Accepted Answer

A) True 
 B)False

Question 13

The lower limit of the 90% confidence interval for the population proportion p, given that n = 400 and   = 0.10, is 0.0247.

Accepted Answer

A) True 
 B)False

Question 14

Which of the following statements is correct?

Accepted Answer

A)  The sample mean is an unbiased estimator of the population mean. 
B)  The sample proportion is an unbiased estimator of the population proportion. 
C)  The difference between two sample means is an unbiased estimator of the difference between two population means. 
D)  All of these choices are true. 
A)  The sample mean is an unbiased estimator of the population mean. 
B)  The sample proportion is an unbiased estimator of the population proportion. 
C)  The difference between two sample means is an unbiased estimator of the difference between two population means. 
D)  All of these choices are true.

Question 15

A(n) ____________________ estimator of a population parameter is an estimator whose expected value is equal to that parameter.

Accepted Answer

The answer of A(n) ____________________ estimator of a population parameter...

Question 16

The formula   is used to find the sample size needed to estimate a population proportion. In this formula, B represents the ____________________ on the error of estimation.

Accepted Answer

The answer of The formula   is used to...

Question 17

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 18

In testing a hypothesis about a population proportion p, the z test statistic measures how close the computed sample proportion   has come to the hypothesized population parameter.

Accepted Answer

A) True 
 B)False

Question 19

It is intuitively reasonable to expect that a larger sample will produce more ____________________ results.

Accepted Answer

The answer of It is intuitively reasonable to expect that...

Question 20

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

Accepted Answer

The answer of If the population standard deviation is guesstimated,...

In selecting the sample size to estimate the population proportion p, if we have no knowledge of even the approximate values of the sample proportion , we:

Physicians: A random sample of 200 physicians shows that there are 36 of them who make at least $400,000 a year. -Construct a 99% confidence interval estimate of the population proportion of physicians who make at least $400,000 a year, and explain how to use it to test the hypotheses.

Which of the following would be an appropriate null hypothesis?

Define relative efficiency.

If there are two unbiased estimators of a population parameter available, the one that has the smallest variance is said to be:

Which of the following statements is true?

Physicians: A random sample of 200 physicians shows that there are 36 of them who make at least $400,000 a year. -Compute the p-value and explain how to use it to test the hypotheses.

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

The confidence interval estimate of the population mean is constructed around the sample mean.

To produce a confidence interval estimator for the total, we multiply the lower and upper confidence limits of the interval estimator of p by ____________________.

An unbiased estimator is a sample statistic whose expected value equals the population parameter.

The lower limit of the 90% confidence interval for the population proportion p, given that n = 400 and = 0.10, is 0.0247.

Which of the following statements is correct?

A(n) ____________________ estimator of a population parameter is an estimator whose expected value is equal to that parameter.

The formula is used to find the sample size needed to estimate a population proportion. In this formula, B represents the ____________________ on the error of estimation.

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

In testing a hypothesis about a population proportion p, the z test statistic measures how close the computed sample proportion has come to the hypothesized population parameter.

It is intuitively reasonable to expect that a larger sample will produce more ____________________ results.

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

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 Populations, Part 1

Inference About Comparing Two Populations, Part 2

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Review of Statistical Inference

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Exam 9: Introduction to Estimation

In selecting the sample size to estimate the population proportion p, if we have no knowledge of even the approximate values of the sample proportion , we:

Physicians: A random sample of 200 physicians shows that there are 36 of them who make at least $400,000 a year. -Construct a 99% confidence interval estimate of the population proportion of physicians who make at least $400,000 a year, and explain how to use it to test the hypotheses.

Which of the following would be an appropriate null hypothesis?

Define relative efficiency.

If there are two unbiased estimators of a population parameter available, the one that has the smallest variance is said to be:

Which of the following statements is true?

Physicians: A random sample of 200 physicians shows that there are 36 of them who make at least $400,000 a year. -Compute the p-value and explain how to use it to test the hypotheses.

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

The confidence interval estimate of the population mean is constructed around the sample mean.

To produce a confidence interval estimator for the total, we multiply the lower and upper confidence limits of the interval estimator of p by ____________________.

An unbiased estimator is a sample statistic whose expected value equals the population parameter.

The lower limit of the 90% confidence interval for the population proportion p, given that n = 400 and = 0.10, is 0.0247.

Which of the following statements is correct?

A(n) ____________________ estimator of a population parameter is an estimator whose expected value is equal to that parameter.

The formula is used to find the sample size needed to estimate a population proportion. In this formula, B represents the ____________________ on the error of estimation.

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

In testing a hypothesis about a population proportion p, the z test statistic measures how close the computed sample proportion has come to the hypothesized population parameter.

It is intuitively reasonable to expect that a larger sample will produce more ____________________ results.

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

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 Populations, Part 1

Inference About Comparing Two Populations, Part 2

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Review of Statistical Inference

Filters