About This Chapter
Interpreting & Analyzing Data Sets - Chapter Summary
What is spread in data sets? How do you find trends when analyzing data? Why is ranking data important? These are examples of the types of questions you will explore when you use the lessons in this chapter. Each lesson contains definitions and detailed examples to facilitate your learning experience. After completing this chapter, you should be able to:
- Identify the spread in data sets
- Find the quartiles and interquartile range for data sets
- Understand how to order and rank data
- List different types of statistics determined by data analysis
- Describe how companies use data analysis methods to solve problems
Our easy-to-follow lessons from expert instructors simplify complex information and ensure your full understanding of this material. Demonstrate your knowledge of these topics by taking a self-assessment quiz after completing each lesson. Monitor your progress through this chapter on your Dashboard, and contact instructors if you have any questions regarding the topics discussed in any of the lessons.
1. Spread in Data Sets: Definition & Example
Identifying the spread in data sets is a very important part of statistics. You can do this several ways, but the most common methods are through range, interquartile range, and variance.
2. Quartiles & the Interquartile Range: Definition, Formulate & Examples
Quartiles and the interquartile range can be used to group and analyze data sets. In this lesson, learn the definition and steps for finding the quartiles and interquartile range for a given data set.
3. Ordering & Ranking Data: Process & Example
Ordering and ranking data can often be more important than you might think. In addition to being an important part of competitions, ranking data can be another way of analyzing and evaluating research.
4. Statistical Analysis: Using Data to Find Trends and Examine Relationships
Many different organizations use statistical analysis to describe and analyze data and to predict future trends. Learn about the different types of statistics in this video lesson.
5. Analyzing, Applying, and Drawing Conclusions From Research to Make Recommendations
In this lesson, we'll explore how companies analyze, apply and draw conclusions from research to solve problems. Learn how effective recommendations can help a business survive and thrive.
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