Which of the following best describes an interval estimator?F1F1F1S1F1F1F10

A) An interval estimator is the same as a point estimator. B) An interval estimator is an interval that draws inferences about a population based on a sample statistic. C) An interval estimator can only be done for the population mean. D) An interval estimator can only be done for the population proportion. A) An interval estimator is the same as a point estimator. B) An interval estimator is an interval that draws inferences about a population based on a sample statistic. C) An interval estimator can only be done for the population mean. D) An interval estimator can only be done for the population proportion.

Exam 10: Estimation: Describing a Single Population

You need four values to construct the confidence interval estimate of ? . These are the sample mean, sample size, population standard deviation and confidence level.

(True/False)

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Question 101

Suppose that your task is to estimate the mean of a normally distributed population to within 10 units with 95% confidence and that the population standard deviation is known to be 70. What sample size should you use with a 90% confidence level?

(Short Answer)

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Question 102

The sample mean is an unbiased estimator of the population mean µ, and (when sampling from a normal population) the sample median is also an unbiased estimator of µ. However, the sample mean is relatively more efficient than the sample median.

(True/False)

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Question 103

The population proportion of voters in favour of a particular political candidate is being estimated with a confidence interval. A random sample of 55 voters is taken, and 28 are found to be in favour. Find and interpret a 90% confidence interval for the population proportion of people in favour of this political candidate.

(Essay)

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Question 104

Which of the following best describes an interval estimator?

(Multiple Choice)

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Question 105

The z value for a 95% confidence interval estimate is:

(Multiple Choice)

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Question 106

Suppose that the amount of time teenagers spend on the Internet is normally distributed, with a standard deviation of 1.5 hours. A sample of 100 teenagers is selected at random, and the sample mean is computed as 6.5 hours. Determine the 95% confidence interval estimate of the population mean. Interpret

(Essay)

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Question 107

What is the margin of error for a 99% confidence interval for the population proportion of people that own more than one mobile phone, if a random sample of 50 people was taken, and 10 of these had more than one mobile phone?

(Short Answer)

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Question 108

Which of the following statements is false?

(Multiple Choice)

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Question 109

The standard error of the sampling distribution of the sample proportion $\hat { p }$ , when the sample size n = 100 and the population proportion p = 0.30, is 0.0021.

(True/False)

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Question 110

Determine the minimum sample size required for estimating the population proportion of number of people who drive to work, to within 0.003, with 80% confidence.

(Essay)

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Question 111

The sample proportion $\hat { p }$ is a consistent estimator of the population proportion p because it is unbiased and the variance of $\hat { p }$ is p(1 - p)/n, which grows smaller as n grows larger.

(True/False)

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Question 112

Suppose that your task is to estimate the mean of a normally distributed population to within 10 units with 95% confidence and that the population standard deviation is known to be 70. What sample size should be used if you wish to estimate the population mean to within 5 units?

(Short Answer)

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Question 113

The upper limit of a confidence interval at the 99% level of confidence for the population proportion if a sample of size 100 had 40 successes is:

(Multiple Choice)

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Question 114

Suppose that the amount of time teenagers spend on the Internet is normally distributed, with a standard deviation of 1.5 hours. A sample of 100 teenagers is selected at random, and the sample mean is computed as 6.5 hours. Determine the 90% confidence interval estimate of the population mean.

(Short Answer)

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Question 115

Suppose that your task is to estimate the mean of a normally distributed population to within 10 units with 95% confidence and that the population standard deviation is known to be 70. What sample size should you use, changing the standard deviation to 50?

(Short Answer)

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Question 116

The lower and upper limits of the 68.26% confidence interval for the population mean µ, given that n = 64, $\bar { X }$ = 110 and ? = 8, are 109 and 111, respectively.

(True/False)

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Question 117

From a sample of 300 items, 15 are defective. The point estimate of the population proportion defective will be:

(Multiple Choice)

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Question 118

In developing an interval estimate at 87.4% for a population mean, the value of z to use is:

(Multiple Choice)

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Question 119

A random sample of size n has been selected from a normally distributed population whose standard deviation is s. In estimating an interval for the population mean, the t-distribution should be used instead of the z-test if:

(Multiple Choice)

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Question 120

Showing 101 - 120 of 125

You need four values to construct the confidence interval estimate of ? . These are the sample mean, sample size, population standard deviation and confidence level.

Suppose that your task is to estimate the mean of a normally distributed population to within 10 units with 95% confidence and that the population standard deviation is known to be 70. What sample size should you use with a 90% confidence level?

The sample mean is an unbiased estimator of the population mean µ, and (when sampling from a normal population) the sample median is also an unbiased estimator of µ. However, the sample mean is relatively more efficient than the sample median.

Which of the following best describes an interval estimator?

The z value for a 95% confidence interval estimate is:

What is the margin of error for a 99% confidence interval for the population proportion of people that own more than one mobile phone, if a random sample of 50 people was taken, and 10 of these had more than one mobile phone?

Which of the following statements is false?

The standard error of the sampling distribution of the sample proportion $\hat { p }$ , when the sample size n = 100 and the population proportion p = 0.30, is 0.0021.

Determine the minimum sample size required for estimating the population proportion of number of people who drive to work, to within 0.003, with 80% confidence.

The sample proportion $\hat { p }$ is a consistent estimator of the population proportion p because it is unbiased and the variance of $\hat { p }$ is p(1 - p)/n, which grows smaller as n grows larger.

Suppose that your task is to estimate the mean of a normally distributed population to within 10 units with 95% confidence and that the population standard deviation is known to be 70. What sample size should be used if you wish to estimate the population mean to within 5 units?

The upper limit of a confidence interval at the 99% level of confidence for the population proportion if a sample of size 100 had 40 successes is:

Suppose that the amount of time teenagers spend on the Internet is normally distributed, with a standard deviation of 1.5 hours. A sample of 100 teenagers is selected at random, and the sample mean is computed as 6.5 hours. Determine the 90% confidence interval estimate of the population mean.

Suppose that your task is to estimate the mean of a normally distributed population to within 10 units with 95% confidence and that the population standard deviation is known to be 70. What sample size should you use, changing the standard deviation to 50?

The lower and upper limits of the 68.26% confidence interval for the population mean µ, given that n = 64, $\bar { X }$ = 110 and ? = 8, are 109 and 111, respectively.

From a sample of 300 items, 15 are defective. The point estimate of the population proportion defective will be:

In developing an interval estimate at 87.4% for a population mean, the value of z to use is:

A random sample of size n has been selected from a normally distributed population whose standard deviation is s. In estimating an interval for the population mean, the t-distribution should be used instead of the z-test if:

What Is Statistics

Types of Data, Data Collection and Sampling

Graphical Descriptive Techniques Nominal Data

Graphical Descriptive Techniques Numerical Data

Numerical Descriptive Measures

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Statistical Inference and Sampling Distributions

Estimation: Comparing Two Populations

Hypothesis Testing: Describing a Single Population

Hypothesis Testing: Comparing Two Populations

Additional Tests for Nominal Data: Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Time-Series Analysis and Forecasting

Index Numbers

Filters

Exam 10: Estimation: Describing a Single Population

You need four values to construct the confidence interval estimate of ? . These are the sample mean, sample size, population standard deviation and confidence level.

Suppose that your task is to estimate the mean of a normally distributed population to within 10 units with 95% confidence and that the population standard deviation is known to be 70. What sample size should you use with a 90% confidence level?

The sample mean is an unbiased estimator of the population mean µ, and (when sampling from a normal population) the sample median is also an unbiased estimator of µ. However, the sample mean is relatively more efficient than the sample median.

Which of the following best describes an interval estimator?

The z value for a 95% confidence interval estimate is:

What is the margin of error for a 99% confidence interval for the population proportion of people that own more than one mobile phone, if a random sample of 50 people was taken, and 10 of these had more than one mobile phone?

Which of the following statements is false?

The standard error of the sampling distribution of the sample proportion p^\hat { p }p^​ , when the sample size n = 100 and the population proportion p = 0.30, is 0.0021.

Determine the minimum sample size required for estimating the population proportion of number of people who drive to work, to within 0.003, with 80% confidence.

The sample proportion p^\hat { p }p^​ is a consistent estimator of the population proportion p because it is unbiased and the variance of p^\hat { p }p^​ is p(1 - p)/n, which grows smaller as n grows larger.

Suppose that your task is to estimate the mean of a normally distributed population to within 10 units with 95% confidence and that the population standard deviation is known to be 70. What sample size should be used if you wish to estimate the population mean to within 5 units?

The upper limit of a confidence interval at the 99% level of confidence for the population proportion if a sample of size 100 had 40 successes is:

Suppose that the amount of time teenagers spend on the Internet is normally distributed, with a standard deviation of 1.5 hours. A sample of 100 teenagers is selected at random, and the sample mean is computed as 6.5 hours. Determine the 90% confidence interval estimate of the population mean.

Suppose that your task is to estimate the mean of a normally distributed population to within 10 units with 95% confidence and that the population standard deviation is known to be 70. What sample size should you use, changing the standard deviation to 50?

The lower and upper limits of the 68.26% confidence interval for the population mean µ, given that n = 64, Xˉ\bar { X }Xˉ = 110 and ? = 8, are 109 and 111, respectively.

From a sample of 300 items, 15 are defective. The point estimate of the population proportion defective will be:

In developing an interval estimate at 87.4% for a population mean, the value of z to use is:

A random sample of size n has been selected from a normally distributed population whose standard deviation is s. In estimating an interval for the population mean, the t-distribution should be used instead of the z-test if:

What Is Statistics

Types of Data, Data Collection and Sampling

Graphical Descriptive Techniques Nominal Data

Graphical Descriptive Techniques Numerical Data

Numerical Descriptive Measures

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Statistical Inference and Sampling Distributions

Estimation: Comparing Two Populations

Hypothesis Testing: Describing a Single Population

Hypothesis Testing: Comparing Two Populations

Additional Tests for Nominal Data: Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Time-Series Analysis and Forecasting

Index Numbers

Filters

The standard error of the sampling distribution of the sample proportion $\hat { p }$ , when the sample size n = 100 and the population proportion p = 0.30, is 0.0021.

The sample proportion $\hat { p }$ is a consistent estimator of the population proportion p because it is unbiased and the variance of $\hat { p }$ is p(1 - p)/n, which grows smaller as n grows larger.

The lower and upper limits of the 68.26% confidence interval for the population mean µ, given that n = 64, $\bar { X }$ = 110 and ? = 8, are 109 and 111, respectively.