Types of Data Analysis

Types of Data Analysis
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  • 0:00 A Look at Analyzing Data
  • 0:31 Basic Types of Data Analysis
  • 1:30 Two Main Categories of…
  • 2:16 Examples
  • 2:56 Lesson Summary
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Lesson Transcript
Instructor: Brianna Whiting
In this lesson, we will learn about data analysis. We'll look at a few types of basic data analysis, and then venture into more specific intense analysis. The lesson will conclude with some examples and a summary.

A Look at Analyzing Data

Many students today encounter an assignment in which they must gather data. Sometimes that data comes from an experiment, and other times that data comes from some type of survey or questionnaire. However the data is collected, the next step usually requires analyzing the data. But how? Are there different options?

There are many different ways to analyze data. Some forms are more complex than others, and some focus primarily on numbers. Others center on observations. Let's start with some basic types of data analysis.

Basic Types of Data Analysis

Descriptive is the first type of data analysis that is usually conducted. It describes the main aspects of the data being analyzed. For example, it may describe how well a football player is performing by looking at the number of touchdowns. This allows one to make comparisons among different athletes.

With exploratory data analysis, one is looking for unknown relationships. This type of analysis is a great way to find new connections and to provide future recommendations.

When a researcher takes a small sample in order to point out something about a larger population, they are using inferential analysis, for instance, looking at the grades of all first graders to explain how well the entire elementary school is doing.

Predictive analysis predicts future happenings by looking at current and past facts.

Causal analysis is used to find out what happens to one variable when you change some other variable. So, if police give out tickets for texting, this may cause less accidents to occur.

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