3.1: Why It Matters- Examining Relationships- Quantitative Data
Why learn how to analyze data by examining the relationships within quantitative data?
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.
Contributors and Attributions
- Concepts in Statistics. Provided by : Open Learning Initiative. Located at : http://oli.cmu.edu . License : CC BY: Attribution