Exam 7: Sampling Distribution of Means

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The scores from a population resulted in a normally shaped distribution with a μ = 52 and a σ_M = 3. The obtained sample mean of 47 converted to a z-score of _________.

(Multiple Choice)

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Question 41

A sample of n = 49 is drawn at random from a population with a μ = 78 and a σ = 14. What is the probability that the sample mean will be 82 or higher?

(Multiple Choice)

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Question 42

A sample of n = 36 individuals is drawn at random from a population that has a μ = 105 and a σ = 18. The probability is .0500 that the mean of the sample will be below what value?

(Multiple Choice)

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Question 43

The mean for a set of scores is 52, the standard deviation is 14, and the sample size is 36. What is the standard error of the mean?

(Multiple Choice)

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Question 44

In a sampling distribution of means, z-scores are in __________ units.

(Multiple Choice)

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Question 45

In order to determine the proportion of sample means expected to lie above 95% of the distribution, look in column ______ of the normal distribution table.

(Multiple Choice)

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Question 46

Given n = 9 and σ_M = 12, what is σ?

(Multiple Choice)

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Question 47

The amount that a sample mean is expected to vary from the population mean is given by the ________________.

(Multiple Choice)

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Question 48

Explain what is meant by expected value.

(Essay)

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Question 49

The shape, mean, and standard deviation of the sampling distribution of means are all discussed in the

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Question 50

Showing 41 - 50 of 50

The scores from a population resulted in a normally shaped distribution with a μ = 52 and a σ_M = 3. The obtained sample mean of 47 converted to a z-score of _________.

A sample of n = 49 is drawn at random from a population with a μ = 78 and a σ = 14. What is the probability that the sample mean will be 82 or higher?

A sample of n = 36 individuals is drawn at random from a population that has a μ = 105 and a σ = 18. The probability is .0500 that the mean of the sample will be below what value?

The mean for a set of scores is 52, the standard deviation is 14, and the sample size is 36. What is the standard error of the mean?

In a sampling distribution of means, z-scores are in __________ units.

In order to determine the proportion of sample means expected to lie above 95% of the distribution, look in column ______ of the normal distribution table.

Given n = 9 and σ_M = 12, what is σ?

The amount that a sample mean is expected to vary from the population mean is given by the ________________.

Explain what is meant by expected value.

The shape, mean, and standard deviation of the sampling distribution of means are all discussed in the

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

The scores from a population resulted in a normally shaped distribution with a μ = 52 and a σM = 3. The obtained sample mean of 47 converted to a z-score of _________.

A sample of n = 49 is drawn at random from a population with a μ = 78 and a σ = 14. What is the probability that the sample mean will be 82 or higher?

A sample of n = 36 individuals is drawn at random from a population that has a μ = 105 and a σ = 18. The probability is .0500 that the mean of the sample will be below what value?

The mean for a set of scores is 52, the standard deviation is 14, and the sample size is 36. What is the standard error of the mean?

In a sampling distribution of means, z-scores are in __________ units.

In order to determine the proportion of sample means expected to lie above 95% of the distribution, look in column ______ of the normal distribution table.

Given n = 9 and σM = 12, what is σ?

The amount that a sample mean is expected to vary from the population mean is given by the ________________.

Explain what is meant by expected value.

The shape, mean, and standard deviation of the sampling distribution of means are all discussed in the

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

The scores from a population resulted in a normally shaped distribution with a μ = 52 and a σ_M = 3. The obtained sample mean of 47 converted to a z-score of _________.

Given n = 9 and σ_M = 12, what is σ?