# 4.1: Why It Matters: Examining Relationships: Quantitative Data

- Page ID
- 251308

Before we begin *Examining Relationships: Quantitative Data*, let’s see how the new ideas in this module relate to what we learned in the previous modules, *Types of Statistical Studies and Producing Data* and *Summarizing Data Graphically and Numerically*.

Recall the Big Picture:

We begin a statistical investigation with a research question. The investigation proceeds with the following steps:

- Produce Data: Determine what to measure, then collect the data.
**← Types of Statistical Studies and Producing Data** - Explore the Data: Analyze and summarize the data.
**←**Summarizing Data Graphically and Numerically,**Examining Relationships: Quantitative Data** - Draw a Conclusion: Use the data, probability, and statistical inference to draw a conclusion about the population.

*Types of Statistical Studies and Producing Data* focused on methods for collecting reliable data. *Summarizing Data Graphically and Numerically* focused on summarizing and analyzing data for a quantitative variable. In this module, we focus on summarizing and analyzing the relationship between two quantitative variables. In the Big Picture of Statistics, the material in *Examining Relationships: Quantitative Data* is still part of exploratory data analysis.

- Concepts in Statistics.
**Provided by**: Open Learning Initiative.**Located at**: http://oli.cmu.edu.**License**:*CC BY: Attribution*