A) should be avoided. B) is a standard deviation. C) is due to mistakes made while collecting data. D) has to be deducted from the standard deviation. A) should be avoided. B) is a standard deviation. C) is due to mistakes made while collecting data. D) has to be deducted from the standard deviation.

Exam 7: Sampling Distribution of Means

A standardized assessment inventory on the personality characteristic of "Perfectionism" has a μ = 70 and a σ = 12. a. Compute σM for a sample of n = 100. b. Compute σM for a sample of n = 25. c. How is σM affected by sample size?

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Question 1

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a. $\sigma_{M}=\frac{12}{\sqrt{100}}=1.2$ b. $\sigma_{M}=\frac{12}{\sqrt{25}}=2.4$ c. As the size of the sample increases, the amount of standard error decreases.

The symbol that represents the standard error of the mean is _______.

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Question 2

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A normally shaped distribution has a μ = 36 and a σ = 12. A sample of 9 individuals is randomly selected and achieved a M = 32. What is the z-score for the obtained sample mean?

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Question 3

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Standard error

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Question 4

The standard deviation for a set of scores is 10 and the sample size is 42. What is the standard error of the mean?

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Question 5

The symbol that represents the expected value of a sampling distribution of means is _____.

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Question 6

Given the same standard deviation for two different distributions, as the size of the sample decreases

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Question 7

The standard error of the mean is based on the

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Question 8

The standard deviation of the sampling distribution of means is called the ______________.

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Question 9

A random sample of size n = 40 is randomly drawn from a population that is normally distributed with a μ = 82 and a σ = 13. The probability is .02 that the sample mean will be above what value?

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Question 10

The central limit theorem covers all of the following aspects of the sampling distribution of means, except the

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Question 11

A random sample of size n = 48 is drawn from a normally shaped distribution with a μ = 110 and a σ = 17. What is the probability that the mean of the sample will be greater than 104?

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Question 12

A population distribution is normally distributed with a μ = 93 and a σ = 13. If n = 50, what proportion of sample means can be expected to be less than 97?

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Question 13

A sample of n = 25 is selected at random from a population with a σ = 15. Approximately how much difference in the scores would you expect between the sample mean and the population mean?

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Question 14

A sample of n = 9 is drawn at random from a population with a μ = 32 and a σ = 9. The probability that the sample mean will be 34 or below is _________.

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Question 15

Given a population mean of 78 and a standard error of the mean value of 2, what else do we need to use the formula to find the range of means that would be expected to occur 90% of the time?

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Question 16

If we added up all of our means from a sampling distribution of means and divided by the number that represented all possible samples, the result would be the _______________.

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Question 17

M = μ + (z)(σ_M) is used to

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Question 18

The sampling distribution of means is

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Question 19

In order to use the z-score formula for determining the probability of obtaining a sample mean, we need all of the following, except _____________.

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Question 20

Showing 1 - 20 of 50

A standardized assessment inventory on the personality characteristic of "Perfectionism" has a μ = 70 and a σ = 12. a. Compute σM for a sample of n = 100. b. Compute σM for a sample of n = 25. c. How is σM affected by sample size?

The symbol that represents the standard error of the mean is _______.

A normally shaped distribution has a μ = 36 and a σ = 12. A sample of 9 individuals is randomly selected and achieved a M = 32. What is the z-score for the obtained sample mean?

Standard error

The standard deviation for a set of scores is 10 and the sample size is 42. What is the standard error of the mean?

The symbol that represents the expected value of a sampling distribution of means is _____.

Given the same standard deviation for two different distributions, as the size of the sample decreases

The standard error of the mean is based on the

The standard deviation of the sampling distribution of means is called the ______________.

A random sample of size n = 40 is randomly drawn from a population that is normally distributed with a μ = 82 and a σ = 13. The probability is .02 that the sample mean will be above what value?

The central limit theorem covers all of the following aspects of the sampling distribution of means, except the

A random sample of size n = 48 is drawn from a normally shaped distribution with a μ = 110 and a σ = 17. What is the probability that the mean of the sample will be greater than 104?

A population distribution is normally distributed with a μ = 93 and a σ = 13. If n = 50, what proportion of sample means can be expected to be less than 97?

A sample of n = 25 is selected at random from a population with a σ = 15. Approximately how much difference in the scores would you expect between the sample mean and the population mean?

A sample of n = 9 is drawn at random from a population with a μ = 32 and a σ = 9. The probability that the sample mean will be 34 or below is _________.

Given a population mean of 78 and a standard error of the mean value of 2, what else do we need to use the formula to find the range of means that would be expected to occur 90% of the time?

If we added up all of our means from a sampling distribution of means and divided by the number that represented all possible samples, the result would be the _______________.

M = μ + (z)(σ_M) is used to

The sampling distribution of means is

In order to use the z-score formula for determining the probability of obtaining a sample mean, we need all of the following, except _____________.

Organizing Data Using Tables and Graphs

Measures of Central Tendency

Measures of Variability

Z-Scores and Other Standard Scores

Probability and the Normal Distribution

Hypothesis Testing

One-Sample T-Test

Two-Sample T-Test: Independent Samples Design

Two-Sample T-Test: Related Samples Design

Confidence Interval Versus Point Estimation

One-Way Analysis of Variance

Factorial Analysis of Variance

Correlation and Regression

Chi-Square

Introduction to Statistics

Nonparametric Statistics for Ordinal Data

Filters

Exam 7: Sampling Distribution of Means

A standardized assessment inventory on the personality characteristic of "Perfectionism" has a μ = 70 and a σ = 12. a. Compute σM for a sample of n = 100. b. Compute σM for a sample of n = 25. c. How is σM affected by sample size?

The symbol that represents the standard error of the mean is _______.

A normally shaped distribution has a μ = 36 and a σ = 12. A sample of 9 individuals is randomly selected and achieved a M = 32. What is the z-score for the obtained sample mean?

Standard error

The standard deviation for a set of scores is 10 and the sample size is 42. What is the standard error of the mean?

The symbol that represents the expected value of a sampling distribution of means is _____.

Given the same standard deviation for two different distributions, as the size of the sample decreases

The standard error of the mean is based on the

The standard deviation of the sampling distribution of means is called the ______________.

A random sample of size n = 40 is randomly drawn from a population that is normally distributed with a μ = 82 and a σ = 13. The probability is .02 that the sample mean will be above what value?

The central limit theorem covers all of the following aspects of the sampling distribution of means, except the

A random sample of size n = 48 is drawn from a normally shaped distribution with a μ = 110 and a σ = 17. What is the probability that the mean of the sample will be greater than 104?

A population distribution is normally distributed with a μ = 93 and a σ = 13. If n = 50, what proportion of sample means can be expected to be less than 97?

A sample of n = 25 is selected at random from a population with a σ = 15. Approximately how much difference in the scores would you expect between the sample mean and the population mean?

A sample of n = 9 is drawn at random from a population with a μ = 32 and a σ = 9. The probability that the sample mean will be 34 or below is _________.

Given a population mean of 78 and a standard error of the mean value of 2, what else do we need to use the formula to find the range of means that would be expected to occur 90% of the time?

If we added up all of our means from a sampling distribution of means and divided by the number that represented all possible samples, the result would be the _______________.

M = μ + (z)(σM) is used to

The sampling distribution of means is

In order to use the z-score formula for determining the probability of obtaining a sample mean, we need all of the following, except _____________.

Organizing Data Using Tables and Graphs

Measures of Central Tendency

Measures of Variability

Z-Scores and Other Standard Scores

Probability and the Normal Distribution

Hypothesis Testing

One-Sample T-Test

Two-Sample T-Test: Independent Samples Design

Two-Sample T-Test: Related Samples Design

Confidence Interval Versus Point Estimation

One-Way Analysis of Variance

Factorial Analysis of Variance

Correlation and Regression

Chi-Square

Introduction to Statistics

Nonparametric Statistics for Ordinal Data

Filters

M = μ + (z)(σ_M) is used to