About This Chapter
Using Data & Statistics - Chapter Summary
In this chapter, learn why tables are a great way to showcase data and find out what you need to do to your data in order to create your own tables. Additional topics include histograms and frequency tables, two other ways to represent data visually. You could learn about weighted average and the situations where it should be used instead of the standard average. Lessons also cover the measures of variability, including range and standard deviation. After you have finished this chapter, you should be able to:
- Define data analysis and examine the processes used
- Explain how measures of central tendency relate to samples
- Identify the formula for the arithmetic mean
- Describe when the geographic mean is preferred over the arithmetic mean
These professionally created video lessons have been designed to make even the most challenging topics easy to understand. If you want to skip ahead in a video to a specific topic, use the video tabs feature in the Timeline. Our printable transcripts make excellent study guides you can print out and take anywhere for convenient review.
1. What is Data Analysis? - Definition & Overview
In this lesson, we will learn about data analysis. We will define it, learn about the forms of data collection, and go through the process of data analysis. The lesson will conclude with a brief quiz to check your knowledge.
2. Summarizing Categorical Data using Tables
Watch this video lesson to find out why data tables are an excellent way to summarize your categorical data. Learn what you need to do to your data before constructing a table and the two ways you can show your data.
3. Frequency Distributions: Definition & Types
This lesson explores the process of creating frequency distributions and histograms to give readers of your future scientific articles a numerical or visual way to understand the data you have presented.
4. Mean, Median & Mode: Measures of Central Tendency
By describing the data using central tendency, a researcher and reader can understand what the typical score looks like. In this lesson, we will explore in more detail these measures of central tendency and how they relate to samples and populations.
5. Arithmetic Mean: Definition, Formula & Example
In this lesson, we will learn about the arithmetic mean, which is a quantity that is used in a wide variety of applications, such as science, engineering, medicine, statistics and finance.
6. Geometric Mean: Definition and Formula
Watch this video lesson to learn how different the geometric mean is from the arithmetic mean, or average, that we are all so familiar with. Learn in what circumstance the geometric mean is preferred. Also, learn the formula and how to use it.
7. Calculating Weighted Average: Method, Formula & Example
This lesson will examine the concept of a weighted average and types of situations when it should be used instead of a standard average. It will also give some real-world examples of a weighted average.
8. Measures of Variability: Range, Variance & Standard Deviation
Looking specifically at range, variance, and standard deviation, this lesson explores the relationship between these measures and samples, populations, and what it says about your data.
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