Question 1

Answer the following questions based on this set of numbers: 
1               2               2               3               3               3               4               5 
  
a. What is the range? 
b. What is the variance? 
c. What is the standard deviation?

Accepted Answer

a. range = 4 
b. var

Question 2

As you increase the number of observations in a sample from 50 to 500, you are most likely to

Accepted Answer

A)  leave the mean and standard deviation approximately unchanged. 
B)  increase the variability as the sample size increases. 
C)  decrease the variability as the sample size increases. 
D)  make the shape of the distribution more skewed. 
A)  leave the mean and standard deviation approximately unchanged. 
B)  increase the variability as the sample size increases. 
C)  decrease the variability as the sample size increases. 
D)  make the shape of the distribution more skewed.

Answer the following questions based on this set of numbers: 1 2 2 3 3 3 4 5 a. What is the range? b. What is the variance? c. What is the standard deviation?

As you increase the number of observations in a sample from 50 to 500, you are most likely to

Introduction

Basic Concepts

Displaying Data

Measures of Central Tendency

The Normal Distribution

Basic Concepts of Probability

Sampling Distributions and Hypothesis Testing

Correlation

Regression

Multiple Regression

Hypothesis Tests Applied to Means: One Sample

Hypothesis Tests Applied to Means: Two Related Samples

Hypothesis Tests Applied to Means: Two Independent Samples

Power

One-Way Analysis of Variance

Factorial Analysis of Variance

Repeated-Measures Analysis of Variance

Chi-Square

Nonparametric and Resampling Statistical Tests

Meta-Analysis

Filters

Exam 5: Measures of Variability

Answer the following questions based on this set of numbers: 1 2 2 3 3 3 4 5 a. What is the range? b. What is the variance? c. What is the standard deviation?

As you increase the number of observations in a sample from 50 to 500, you are most likely to

Introduction

Basic Concepts

Displaying Data

Measures of Central Tendency

The Normal Distribution

Basic Concepts of Probability

Sampling Distributions and Hypothesis Testing

Correlation

Regression

Multiple Regression

Hypothesis Tests Applied to Means: One Sample

Hypothesis Tests Applied to Means: Two Related Samples

Hypothesis Tests Applied to Means: Two Independent Samples

Power

One-Way Analysis of Variance

Factorial Analysis of Variance

Repeated-Measures Analysis of Variance

Chi-Square

Nonparametric and Resampling Statistical Tests

Meta-Analysis

Filters