An unbiased estimate of σ2 is _____.

A) s B) s2 C) D) σ A) s B) s2 C) D) σ

Find P( x = 16,n = 16.

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

Exam 7: Sampling and Sampling Distributions

Packages of sugar bags for Sweeter Sugar Inc.have an average weight of 16 ounces and a standard deviation of 0.2 ounces.The weights of the sugar packages are normally distributed.What is the probability that 16 randomly selected packages will have a weight in excess of 16.075 ounces?

Free

(Multiple Choice)

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Question 1

Correct Answer:

Verified

The ______________ of a sample statistic is the probability distribution of the population of all possible values of the sample statistic.

Free

(Multiple Choice)

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Question 2

Correct Answer:

Verified

The notation for the standard deviation of the sampling distribution of the sample mean is __________.

Free

(Multiple Choice)

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Question 3

Correct Answer:

Verified

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

(Multiple Choice)

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Question 4

If p = .8 and n = 50,then we can conclude that the sampling distribution of is approximately a normal distribution.

(True/False)

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Question 5

For large samples,the sampling distribution of is approximately normal with a mean of _____.

(Multiple Choice)

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Question 6

For nonnormal populations,as the sample size (n)___,the distribution of sample means approaches a(n) distribution.

(Multiple Choice)

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Question 7

Consider a sampling distribution formed based on n = 3.The standard deviation of the population of all sample means is ______________ less than the standard deviation of the population of individual measurements σ.

(Multiple Choice)

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Question 8

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 9

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 10

____________ says that if the sample size is sufficiently large,then the sample means are approximately normally distributed.

(Multiple Choice)

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Question 11

The standard deviation of all possible sample proportions increases as the sample size increases.

(True/False)

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Question 12

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 13

The mean of the sampling distribution of is always equal to the mean of the sampled population.

(True/False)

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Question 14

The mean of the sampling distribution of the sample proportion is equal to _____ when the sample size is sufficiently large.

(Multiple Choice)

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Question 15

The sampling distribution of a sample statistic is the probability distribution of the population of all possible values of the sample statistic.

(True/False)

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Question 16

If the sampled population distribution is skewed,then in most cases the sampling distribution of the mean can be approximated by the normal distribution if the sample size n is at least 30.

(True/False)

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Question 17

An unbiased estimate of σ² is _____.

(Multiple Choice)

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Question 18

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

(Multiple Choice)

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Question 19

If the sampled population has a mean of 48 and standard deviation of 16,then the mean and the standard deviation for the sampling distribution of for n = 16 are

(Multiple Choice)

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Question 20

Showing 1 - 20 of 52

Packages of sugar bags for Sweeter Sugar Inc.have an average weight of 16 ounces and a standard deviation of 0.2 ounces.The weights of the sugar packages are normally distributed.What is the probability that 16 randomly selected packages will have a weight in excess of 16.075 ounces?

The ______________ of a sample statistic is the probability distribution of the population of all possible values of the sample statistic.

The notation for the standard deviation of the sampling distribution of the sample mean is __________.

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

If p = .8 and n = 50,then we can conclude that the sampling distribution of is approximately a normal distribution.

For large samples,the sampling distribution of is approximately normal with a mean of _____.

For nonnormal populations,as the sample size (n)___,the distribution of sample means approaches a(n) distribution.

Consider a sampling distribution formed based on n = 3.The standard deviation of the population of all sample means is ______________ less than the standard deviation of the population of individual measurements σ.

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 ____________________.

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

____________ says that if the sample size is sufficiently large,then the sample means are approximately normally distributed.

The standard deviation of all possible sample proportions increases as the sample size increases.

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.

The mean of the sampling distribution of is always equal to the mean of the sampled population.

The mean of the sampling distribution of the sample proportion is equal to _____ when the sample size is sufficiently large.

The sampling distribution of a sample statistic is the probability distribution of the population of all possible values of the sample statistic.

If the sampled population distribution is skewed,then in most cases the sampling distribution of the mean can be approximated by the normal distribution if the sample size n is at least 30.

An unbiased estimate of σ² is _____.

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

If the sampled population has a mean of 48 and standard deviation of 16,then the mean and the standard deviation for the sampling distribution of for n = 16 are

An Introduction to Business Statistics

Descriptive Statistics: Tabular and Graphical Methods

Descriptive Statistics: Numerical Methods

Probability

Discrete Random Variables

Continuous Random Variables

Confidence Intervals

Hypothesis Testing

Statistical Inferences for Means and Proportions

Statistical Inferences for Population Variances

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Multiple Regression and Model Building

Time Series Forecasting and Index Numbers

Nonparametric Methods

Decision Theory

Filters

Exam 7: Sampling and Sampling Distributions

Packages of sugar bags for Sweeter Sugar Inc.have an average weight of 16 ounces and a standard deviation of 0.2 ounces.The weights of the sugar packages are normally distributed.What is the probability that 16 randomly selected packages will have a weight in excess of 16.075 ounces?

The ______________ of a sample statistic is the probability distribution of the population of all possible values of the sample statistic.

The notation for the standard deviation of the sampling distribution of the sample mean is __________.

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

If p = .8 and n = 50,then we can conclude that the sampling distribution of is approximately a normal distribution.

For large samples,the sampling distribution of is approximately normal with a mean of _____.

For nonnormal populations,as the sample size (n)___________________,the distribution of sample means approaches a(n)________________ distribution.

Consider a sampling distribution formed based on n = 3.The standard deviation of the population of all sample means is ______________ less than the standard deviation of the population of individual measurements σ.

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 ____________________.

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

____________ says that if the sample size is sufficiently large,then the sample means are approximately normally distributed.

The standard deviation of all possible sample proportions increases as the sample size increases.

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.

The mean of the sampling distribution of is always equal to the mean of the sampled population.

The mean of the sampling distribution of the sample proportion is equal to _____ when the sample size is sufficiently large.

The sampling distribution of a sample statistic is the probability distribution of the population of all possible values of the sample statistic.

If the sampled population distribution is skewed,then in most cases the sampling distribution of the mean can be approximated by the normal distribution if the sample size n is at least 30.

An unbiased estimate of σ2 is _____.

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

If the sampled population has a mean of 48 and standard deviation of 16,then the mean and the standard deviation for the sampling distribution of for n = 16 are

An Introduction to Business Statistics

Descriptive Statistics: Tabular and Graphical Methods

Descriptive Statistics: Numerical Methods

Probability

Discrete Random Variables

Continuous Random Variables

Confidence Intervals

Hypothesis Testing

Statistical Inferences for Means and Proportions

Statistical Inferences for Population Variances

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Multiple Regression and Model Building

Time Series Forecasting and Index Numbers

Nonparametric Methods

Decision Theory

Filters

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

For nonnormal populations,as the sample size (n)___,the distribution of sample means approaches a(n) distribution.

An unbiased estimate of σ² is _____.

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