Find P( x = 16, n = 16.

A) .9944 B) .4483 C) .5517 D) .1056 A) .9944 B) .4483 C) .5517 D) .1056

Exam 8: Sampling Distributions

The population of lengths of aluminum-coated steel sheets is normally distributed with a mean of 30.05 inches and a standard deviation of .3 inches. What is the probability that the average length of a steel sheet from a sample of 9 steel sheets is more than 29.95 inches long?

(Multiple Choice)

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Question 21

The spread of the sampling distribution of is ________ the spread of the corresponding population distribution sampling distribution.

(Multiple Choice)

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Question 22

A sample size of 500 is sufficiently large to conclude that the sampling distribution of is a normal distribution, when the estimate of the population proportion is .995.

(True/False)

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Question 23

As the sample size , the variation of the sampling distribution of .

(Multiple Choice)

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Question 24

The ________ is the probability distribution of the population of all possible sample means that could be obtained from all possible samples of the same size.

(Multiple Choice)

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Question 25

If we have a sample size of 100 and the estimate of the population proportion is .10, what is the mean of the sampling distribution of the sample proportion?

(Multiple Choice)

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Question 26

The population of all sample proportions has a normal distribution if the sample size (n) is sufficiently large. The rule of thumb for ensuring that n is sufficiently large is

(Multiple Choice)

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Question 27

The ________ is a minimum-variance unbiased point estimate of the mean of a normally distributed population.

(Multiple Choice)

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Question 28

A random sample of size 1,000 is taken from a population where p = .20. Find P( < .22).

(Multiple Choice)

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Question 29

A random sample of size 1,000 is taken from a population where p = .20. What is ?

(Multiple Choice)

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Question 30

The population of lengths of aluminum-coated steel sheets is normally distributed with a mean of 30.05 inches and a standard deviation of .2 inches. A sample of 4 metal sheets is randomly selected from a batch. What is the probability that the average length of a sheet is between 30.25 and 30.35 inches long?

(Multiple Choice)

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Question 31

A random sample of size 1,000 is taken from a population where p = .20. Find P( > .21).

(Multiple Choice)

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Question 32

If the sample size n is infinitely large, then s² is an unbiased estimator of σ².

(True/False)

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Question 33

A random sample of size 36 is taken from a population with mean 50 and standard deviation 5. Find P( < 48).

(Multiple Choice)

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Question 34

A sample statistic is an unbiased point estimate of a population parameter if the mean of the populations of all possible values of the sample statistic equals the population parameter.

(True/False)

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Question 35

The internal auditing staff of a local manufacturing company performs a sample audit each quarter to estimate the proportion of accounts that are more than 90 days overdue (delinquent). The historical records of the company show that over the past 8 years, the average has been that 14 percent of the accounts have been delinquent. For this quarter, the auditing staff randomly selected 250 customer accounts. What are the mean and the standard deviation of the sampling distribution of ?

(Multiple Choice)

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Question 36

A random sample of size 36 is taken from a population with a mean of 50 and a standard deviation of 5. The sampling distribution of ________.

(Multiple Choice)

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Question 37

Find P( < 35) if μ = 40, σ_x = 16, n = 16.

(Multiple Choice)

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Question 38

A random sample of size 36 is taken from a population with mean 50 and standard deviation 5. Find P( > 50.5).

(Multiple Choice)

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Question 39

The reason sample variance has a divisor of n − 1 rather than n is that it makes the variance an unbiased estimate of the population variance.

(True/False)

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Question 40

Showing 21 - 40 of 111

The population of lengths of aluminum-coated steel sheets is normally distributed with a mean of 30.05 inches and a standard deviation of .3 inches. What is the probability that the average length of a steel sheet from a sample of 9 steel sheets is more than 29.95 inches long?

The spread of the sampling distribution of is ________ the spread of the corresponding population distribution sampling distribution.

A sample size of 500 is sufficiently large to conclude that the sampling distribution of is a normal distribution, when the estimate of the population proportion is .995.

As the sample size , the variation of the sampling distribution of .

The ________ is the probability distribution of the population of all possible sample means that could be obtained from all possible samples of the same size.

If we have a sample size of 100 and the estimate of the population proportion is .10, what is the mean of the sampling distribution of the sample proportion?

The population of all sample proportions has a normal distribution if the sample size (n) is sufficiently large. The rule of thumb for ensuring that n is sufficiently large is

The ________ is a minimum-variance unbiased point estimate of the mean of a normally distributed population.

A random sample of size 1,000 is taken from a population where p = .20. Find P( < .22).

A random sample of size 1,000 is taken from a population where p = .20. What is ?

A random sample of size 1,000 is taken from a population where p = .20. Find P( > .21).

If the sample size n is infinitely large, then s² is an unbiased estimator of σ².

A random sample of size 36 is taken from a population with mean 50 and standard deviation 5. Find P( < 48).

A sample statistic is an unbiased point estimate of a population parameter if the mean of the populations of all possible values of the sample statistic equals the population parameter.

A random sample of size 36 is taken from a population with a mean of 50 and a standard deviation of 5. The sampling distribution of ________.

Find P( < 35) if μ = 40, σ_x = 16, n = 16.

A random sample of size 36 is taken from a population with mean 50 and standard deviation 5. Find P( > 50.5).

The reason sample variance has a divisor of n − 1 rather than n is that it makes the variance an unbiased estimate of the population variance.

An Introduction to Business Statistics and Analytics

Descriptive Statistics and Analytics: Tabular and Graphical Methods

Descriptive Statistics and Analytics: Numerical Methods

Probability and Probability Models

Predictive Analytics I: Trees, K-Nearest Neighbors, Naive Bayes,

Discrete Random Variables

Continuous Random Variables

Confidence Intervals

Hypothesis Testing

Statistical Inferences Based on Two Samples

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Multiple Regression and Model Building

Predictive Analytics Ii: Logistic Regression, Discriminate Analysis,

Time Series Forecasting and Index Numbers

Nonparametric Methods

Decision Theory

Filters

Exam 8: Sampling Distributions

The population of lengths of aluminum-coated steel sheets is normally distributed with a mean of 30.05 inches and a standard deviation of .3 inches. What is the probability that the average length of a steel sheet from a sample of 9 steel sheets is more than 29.95 inches long?

The spread of the sampling distribution of is ________ the spread of the corresponding population distribution sampling distribution.

A sample size of 500 is sufficiently large to conclude that the sampling distribution of is a normal distribution, when the estimate of the population proportion is .995.

As the sample size ________, the variation of the sampling distribution of ________.

The ________ is the probability distribution of the population of all possible sample means that could be obtained from all possible samples of the same size.

If we have a sample size of 100 and the estimate of the population proportion is .10, what is the mean of the sampling distribution of the sample proportion?

The population of all sample proportions has a normal distribution if the sample size (n) is sufficiently large. The rule of thumb for ensuring that n is sufficiently large is

The ________ is a minimum-variance unbiased point estimate of the mean of a normally distributed population.

A random sample of size 1,000 is taken from a population where p = .20. Find P( < .22).

A random sample of size 1,000 is taken from a population where p = .20. What is ?

A random sample of size 1,000 is taken from a population where p = .20. Find P( > .21).

If the sample size n is infinitely large, then s2 is an unbiased estimator of σ2.

A random sample of size 36 is taken from a population with mean 50 and standard deviation 5. Find P( < 48).

A sample statistic is an unbiased point estimate of a population parameter if the mean of the populations of all possible values of the sample statistic equals the population parameter.

A random sample of size 36 is taken from a population with a mean of 50 and a standard deviation of 5. The sampling distribution of ________.

Find P( < 35) if μ = 40, σx = 16, n = 16.

A random sample of size 36 is taken from a population with mean 50 and standard deviation 5. Find P( > 50.5).

The reason sample variance has a divisor of n − 1 rather than n is that it makes the variance an unbiased estimate of the population variance.

An Introduction to Business Statistics and Analytics

Descriptive Statistics and Analytics: Tabular and Graphical Methods

Descriptive Statistics and Analytics: Numerical Methods

Probability and Probability Models

Predictive Analytics I: Trees, K-Nearest Neighbors, Naive Bayes,

Discrete Random Variables

Continuous Random Variables

Confidence Intervals

Hypothesis Testing

Statistical Inferences Based on Two Samples

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Multiple Regression and Model Building

Predictive Analytics Ii: Logistic Regression, Discriminate Analysis,

Time Series Forecasting and Index Numbers

Nonparametric Methods

Decision Theory

Filters

As the sample size , the variation of the sampling distribution of .

If the sample size n is infinitely large, then s² is an unbiased estimator of σ².

Find P( < 35) if μ = 40, σ_x = 16, n = 16.