Question 1

According to the central limit theorem what happens to the sampling distribution of sample means as N becomes larger?

Accepted Answer

The distribution becomes appro

Question 2

Will the standard error always be lower than the standard deviation? Why or why not?

Accepted Answer

The standard error will always be smalle

Question 3

0,3,6,9 is a sample of the population 1,2,3,4,5,6,7,8,9,10.

Accepted Answer

A) True 
 B)False

Question 4

SELECT ALL THAT APPLY.
-In a population of 250 students,60% are Whites,20% are Latinos,15% are Blacks,and 5% others.In a proportionate stratified random sample of 120,

Accepted Answer

A) the number of Whites selected is 72. 
B) the number of Blacks selected is 50. 
C) the number of Latinos selected is 37. 
D) the number of other racial and ethnicity background selected is 6. 
A) the number of Whites selected is 72. 
B) the number of Blacks selected is 50. 
C) the number of Latinos selected is 37. 
D) the number of other racial and ethnicity background selected is 6.

Question 5

SELECT ALL THAT APPLY.
-The probability of rolling an even number with a six-sided,equally weighted die is

Accepted Answer

A) 1/3. 
B) 1/2. 
C) 1/6. 
D) 3/6. 
A) 1/3. 
B) 1/2. 
C) 1/6. 
D) 3/6.

Question 6

A small population of N = 12 has values of 2,2,3,4,4,7,8,8,8,9,12,12.Choose ten samples of size 3 and calculate the mean for each.Then calculate the mean of the ten sample means.What does the mean of the ten sample means approximate in this case?

Accepted Answer

The mean of sample m

Question 7

What is the major drawback of using the proportionate stratified sample?

Accepted Answer

In a proportionate stratified sample,the

Question 8

A small population of N = 12 has values of 2,2,3,4,4,7,8,8,8,9,12,12.Choose ten samples of size 3 and calculate the mean and standard deviation for each.

Accepted Answer

Answers wi

Question 9

SELECT ALL THAT APPLY.
-The central limit theorem tells us that as the sample size gets larger,

Accepted Answer

A) the mean of the sampling distribution becomes equal to the population mean. 
B) the standard error of the mean decreases in size. 
C) the closer the sample means will be to the population mean. 
D) the sample statistics clusters away from the population parameter. 
A) the mean of the sampling distribution becomes equal to the population mean. 
B) the standard error of the mean decreases in size. 
C) the closer the sample means will be to the population mean. 
D) the sample statistics clusters away from the population parameter.

Question 10

A theoretical probability distribution of all possible sample values for the statistics in which we are interested in is referred to as a

Accepted Answer

A) sample. 
B) sampling distribution. 
C) population. 
D) sampling frequency. 
A) sample. 
B) sampling distribution. 
C) population. 
D) sampling frequency.

According to the central limit theorem what happens to the sampling distribution of sample means as N becomes larger?

Will the standard error always be lower than the standard deviation? Why or why not?

0,3,6,9 is a sample of the population 1,2,3,4,5,6,7,8,9,10.

SELECT ALL THAT APPLY. -In a population of 250 students,60% are Whites,20% are Latinos,15% are Blacks,and 5% others.In a proportionate stratified random sample of 120,

SELECT ALL THAT APPLY. -The probability of rolling an even number with a six-sided,equally weighted die is

A small population of N = 12 has values of 2,2,3,4,4,7,8,8,8,9,12,12.Choose ten samples of size 3 and calculate the mean for each.Then calculate the mean of the ten sample means.What does the mean of the ten sample means approximate in this case?

What is the major drawback of using the proportionate stratified sample?

A small population of N = 12 has values of 2,2,3,4,4,7,8,8,8,9,12,12.Choose ten samples of size 3 and calculate the mean and standard deviation for each.

SELECT ALL THAT APPLY. -The central limit theorem tells us that as the sample size gets larger,

A theoretical probability distribution of all possible sample values for the statistics in which we are interested in is referred to as a

The What and the Why of Statistics

The Organization and Graphic Presentation of Data

Measures of Central Tendency

Measures of Variability

The Normal Distribution

Estimation

Testing Hypotheses

Bivariate Tables

The Chi-Square Test and Measures of Association

Analysis of Variance

Regression and Correlation

Filters

Exam 6: Sampling and Sampling Distributions

According to the central limit theorem what happens to the sampling distribution of sample means as N becomes larger?

Will the standard error always be lower than the standard deviation? Why or why not?

0,3,6,9 is a sample of the population 1,2,3,4,5,6,7,8,9,10.

SELECT ALL THAT APPLY. -In a population of 250 students,60% are Whites,20% are Latinos,15% are Blacks,and 5% others.In a proportionate stratified random sample of 120,

SELECT ALL THAT APPLY. -The probability of rolling an even number with a six-sided,equally weighted die is

A small population of N = 12 has values of 2,2,3,4,4,7,8,8,8,9,12,12.Choose ten samples of size 3 and calculate the mean for each.Then calculate the mean of the ten sample means.What does the mean of the ten sample means approximate in this case?

What is the major drawback of using the proportionate stratified sample?

A small population of N = 12 has values of 2,2,3,4,4,7,8,8,8,9,12,12.Choose ten samples of size 3 and calculate the mean and standard deviation for each.

SELECT ALL THAT APPLY. -The central limit theorem tells us that as the sample size gets larger,

A theoretical probability distribution of all possible sample values for the statistics in which we are interested in is referred to as a

The What and the Why of Statistics

The Organization and Graphic Presentation of Data

Measures of Central Tendency

Measures of Variability

The Normal Distribution

Estimation

Testing Hypotheses

Bivariate Tables

The Chi-Square Test and Measures of Association

Analysis of Variance

Regression and Correlation

Filters