### Overview

All the data for this text is located on Github. **Click on any chapter below to see a list of available data sets and a URL for the data set. **

**Chapter 1** Data Collection

**Chapter 2** Organizing and Summarizing Data

**Chapter 3** Numerically Summarizing Data

**Chapter 4** Describing the Relation between Two Variables

**Chapter 5 **Probability

**Chapter 6** Discrete Probability Distributions

**Chapter 7 **The Normal Probability Distribution

**Chapter 8 **Sampling Distributions

**Chapter 9 **Estimating the Value of a Parameter

**Chapter 10 **Hypothesis Tests Regarding a Parameter

##### How to Upload Data to StatCrunch from Github

**Step 1: **Open StatCrunch.

**Step 2: **Select Data > Load > From file > on the Web

**Step 3: **Enter the web address of the data set. Give the data file a name. Be sure the delimeter is set to comma. See below.

##### How to Import Data to R or R Studio from Github

*df_name <- *read.csv("URL of data")

For example, to load the data for Problem 31 in Section 4.1, enter the following

Problem31 <- read.csv("https://sullystats.github.io/Statistics6e/Data/Chapter4/4_1_31.csv")

##### Click on the chapter to see a list of data available for the chapter.

Chapter 1

Data Collection

Chapter 2

Organizing and Summarizing Data

Chapter 3

Numerically Summarizing Data

Chapter 4

Describing the Relation between Two Variables

Chapter 5

Probability

Chapter 6

Discrete Probability Distributions

Chapter 7

The Normal Probability Distribution

Chapter 8

Sampling Distributions

Chapter 9

Estimating the Value of a Parameter

Chapter 10

Hypothesis Testing Regarding a Parameter

Chapter 11

Inference on Two Population Parameters

Chapter 12

Inference on Categorical Data

Chapter 13

Comparing Three or More Means

Chapter 14

Inference on the Least-Squares Regression Model and Multiple Regression

Chapter 15

Nonparametric Statistics