Question 1

The sample mean is an unbiased estimator,follows the central limit theorem,and has minimum variance.

Accepted Answer

A) True 
 B)False

Question 2

There are 25 possible samples of size 2 that can be selected from a population of 5 people using theoretical sampling.

Accepted Answer

A) True 
 B)False

Question 3

Regardless of the shape of the distribution in the population,the sampling distribution of sample variances approximates a

Accepted Answer

A) normal distribution 
B) positively skewed distribution 
C) negatively skewed distribution 
D) multimodal distribution 
A) normal distribution 
B) positively skewed distribution 
C) negatively skewed distribution 
D) multimodal distribution

Question 4

The mean of a sampling distribution of sample means equals the population mean from which the samples were selected.

Accepted Answer

A) True 
 B)False

Question 5

A z transformation can be computed to locate sample means in a sampling distribution.

Accepted Answer

A) True 
 B)False

Question 6

The sample variance is an unbiased estimator of the population variance

Accepted Answer

A) when dividing SS by n 
B) when dividing SS by df 
C) when dividing SS by n ñ 1 
D) both B and C 
A) when dividing SS by n 
B) when dividing SS by df 
C) when dividing SS by n ñ 1 
D) both B and C

Question 7

Two researchers select a sample for a population with a mean of 12.4 and a standard deviation of 9.Researcher A selects a sample of 30 participants.Researcher B selects a sample of 40 participants.Which sample is associated with a smaller standard error?

Accepted Answer

A) Researcher A's,because the sample size was smaller. 
B) Researcher B's,because the sample size was smaller. 
C) Researcher A's,because the sample size was larger. 
D) Researcher B's,because the sample size was larger. 
A) Researcher A's,because the sample size was smaller. 
B) Researcher B's,because the sample size was smaller. 
C) Researcher A's,because the sample size was larger. 
D) Researcher B's,because the sample size was larger.

Question 8

It happens to be the case that the standard error of the sampling distribution of sample means

Accepted Answer

A) is minimal 
B) is approximately equal to that in the population 
C) gets larger as the sample size increases 
D) both A and C 
A) is minimal 
B) is approximately equal to that in the population 
C) gets larger as the sample size increases 
D) both A and C

Question 9

The sampling distribution of the mean has minimum variance.

Accepted Answer

A) True 
 B)False

Question 10

Without knowing a thing about the population variance,we can expect a randomly selected sample variance (sample variance = SS/df)to equal the population variance on average.

Accepted Answer

A) True 
 B)False

Question 11

A sampling distribution is a distribution of scores in a population.

Accepted Answer

A) True 
 B)False

Question 12

A researcher selects a sample of size 6 from a population of size 10.How many possible samples of this size can be selected using theoretical sampling?

Accepted Answer

A) 100,000 
B) 1,000,000 
C) 10,000,000 
D) over 60,000,000 samples 
A) 100,000 
B) 1,000,000 
C) 10,000,000 
D) over 60,000,000 samples

Question 13

What values are distributed along the x-axis for a sampling distribution of the sample variance?

Accepted Answer

A) scores 
B) sample means 
C) sample variances 
D) both B and C 
A) scores 
B) sample means 
C) sample variances 
D) both B and C

Question 14

The mean of the sampling distribution of sample means is

Accepted Answer

A) equal to the population mean 
B) equal to the population variance 
C) both A and B 
D) none of the above 
A) equal to the population mean 
B) equal to the population variance 
C) both A and B 
D) none of the above

Question 15

A researcher selects a sample of 49 participants from a population with a mean of 12 and a standard deviation of 3.5.What is the probability of selecting a sample mean that is at least equal to the population mean?

Accepted Answer

A) .50 
B) equal to the probability of selecting a sample mean that is at most equal to the population mean 
C) both A and B 
D) none of the above 
A) .50 
B) equal to the probability of selecting a sample mean that is at most equal to the population mean 
C) both A and B 
D) none of the above

Question 16

A researcher selects a sample of 49 participants from a population with a mean of 12 and a standard deviation of 3.5.What is the probability of selecting a sample mean of 13 or larger from this population?

Accepted Answer

A) equal to the probability of selecting a score above the mean 
B) about one standard deviation below the mean 
C) less than .03 
D) greater than .31 
A) equal to the probability of selecting a score above the mean 
B) about one standard deviation below the mean 
C) less than .03 
D) greater than .31

Question 17

What values are distributed along the x-axis for a sampling distribution of the sample mean?

Accepted Answer

A) scores 
B) sample means 
C) sample variances 
D) both B and C 
A) scores 
B) sample means 
C) sample variances 
D) both B and C

Question 18

A researcher selects a sample of 169 participants from a population with a mean of 50 and a standard deviation of 13.The probability of selecting a sample mean that is less than 49 is .8413.

Accepted Answer

A) True 
 B)False

Question 19

What does it mean to say that the sample mean is an unbiased estimator of the population mean?

Accepted Answer

A) The sample means will vary minimally from the population mean. 
B) The sampling distribution of possible sample means is approximately normally distributed,regardless of the shape of the distribution in the population. 
C) If we select a sample at random,then on average we can expect the sample mean to equal the population mean. 
D) all of the above 
A) The sample means will vary minimally from the population mean. 
B) The sampling distribution of possible sample means is approximately normally distributed,regardless of the shape of the distribution in the population. 
C) If we select a sample at random,then on average we can expect the sample mean to equal the population mean. 
D) all of the above

The sample mean is an unbiased estimator,follows the central limit theorem,and has minimum variance.

There are 25 possible samples of size 2 that can be selected from a population of 5 people using theoretical sampling.

Regardless of the shape of the distribution in the population,the sampling distribution of sample variances approximates a

The mean of a sampling distribution of sample means equals the population mean from which the samples were selected.

A z transformation can be computed to locate sample means in a sampling distribution.

The sample variance is an unbiased estimator of the population variance

Two researchers select a sample for a population with a mean of 12.4 and a standard deviation of 9.Researcher A selects a sample of 30 participants.Researcher B selects a sample of 40 participants.Which sample is associated with a smaller standard error?

It happens to be the case that the standard error of the sampling distribution of sample means

The sampling distribution of the mean has minimum variance.

Without knowing a thing about the population variance,we can expect a randomly selected sample variance (sample variance = SS/df)to equal the population variance on average.

A sampling distribution is a distribution of scores in a population.

A researcher selects a sample of size 6 from a population of size 10.How many possible samples of this size can be selected using theoretical sampling?

What values are distributed along the x-axis for a sampling distribution of the sample variance?

The mean of the sampling distribution of sample means is

A researcher selects a sample of 49 participants from a population with a mean of 12 and a standard deviation of 3.5.What is the probability of selecting a sample mean that is at least equal to the population mean?

A researcher selects a sample of 49 participants from a population with a mean of 12 and a standard deviation of 3.5.What is the probability of selecting a sample mean of 13 or larger from this population?

What values are distributed along the x-axis for a sampling distribution of the sample mean?

A researcher selects a sample of 169 participants from a population with a mean of 50 and a standard deviation of 13.The probability of selecting a sample mean that is less than 49 is .8413.

What does it mean to say that the sample mean is an unbiased estimator of the population mean?

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

Two-Way Analysis of Variance: Between-Subjects Factorial Design

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

Filters

Exam 7: Hypothesis Testing: Significance, Effect Size, and Power

The sample mean is an unbiased estimator,follows the central limit theorem,and has minimum variance.

There are 25 possible samples of size 2 that can be selected from a population of 5 people using theoretical sampling.

Regardless of the shape of the distribution in the population,the sampling distribution of sample variances approximates a

The mean of a sampling distribution of sample means equals the population mean from which the samples were selected.

A z transformation can be computed to locate sample means in a sampling distribution.

The sample variance is an unbiased estimator of the population variance

Two researchers select a sample for a population with a mean of 12.4 and a standard deviation of 9.Researcher A selects a sample of 30 participants.Researcher B selects a sample of 40 participants.Which sample is associated with a smaller standard error?

It happens to be the case that the standard error of the sampling distribution of sample means

The sampling distribution of the mean has minimum variance.

Without knowing a thing about the population variance,we can expect a randomly selected sample variance (sample variance = SS/df)to equal the population variance on average.

A sampling distribution is a distribution of scores in a population.

A researcher selects a sample of size 6 from a population of size 10.How many possible samples of this size can be selected using theoretical sampling?

What values are distributed along the x-axis for a sampling distribution of the sample variance?

The mean of the sampling distribution of sample means is

A researcher selects a sample of 49 participants from a population with a mean of 12 and a standard deviation of 3.5.What is the probability of selecting a sample mean that is at least equal to the population mean?

A researcher selects a sample of 49 participants from a population with a mean of 12 and a standard deviation of 3.5.What is the probability of selecting a sample mean of 13 or larger from this population?

What values are distributed along the x-axis for a sampling distribution of the sample mean?

A researcher selects a sample of 169 participants from a population with a mean of 50 and a standard deviation of 13.The probability of selecting a sample mean that is less than 49 is .8413.

What does it mean to say that the sample mean is an unbiased estimator of the population mean?

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

Two-Way Analysis of Variance: Between-Subjects Factorial Design

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

Filters