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Ch 21: Calculating & Presenting Statistics

About This Chapter

Watch our entertaining video lessons to learn all about calculations and presentations of statistics. Use the short, self-assessment quizzes with each lesson to gauge your progress.

Calculating & Presenting Statistics - Chapter Summary and Learning Objectives

Never get scared off by the term 'statistics' again! Expert instructors will walk you through lessons dealing with the measures of central tendency, such as mean, median, mode and range. You can also practice reading data in tables, schedules, bar graphs and pie charts. Take the quick quiz that accompanies each lesson to be sure you're on track. When you've finished this chapter, you'll be well versed in the following topics:

  • Dispersion and skewness
  • Properties and characteristics of normal distribution
  • Regression analysis
  • Understanding data in tables, schedules, graphs and charts

Video Objective
How to Calculate Mean, Median, Mode & Range Learn to calculate measures of central tendencies.
Measures of Dispersion and Skewness Find out how the statistical characteristics of dispersion and skewness can be used to describe data.
Normal Distribution: Definition, Properties, Characteristics & Example Discover why the bell curve is an important distribution in studying data.
Regression Analysis: Definition & Examples Examine how regression analysis can help you analyze info from surveys and observations.
Organizing and Understanding Data with Tables & Schedules Compare the types of information that may be displayed in tables and schedules.
Understanding Bar Graphs and Pie Charts Take a look at how data can be compared in bar graphs and pie charts.

6 Lessons in Chapter 21: Calculating & Presenting Statistics
Test your knowledge with a 30-question chapter practice test
Mean, Median, Mode & Range

1. Mean, Median, Mode & Range

In this lesson, explore how to calculate the mean, median, mode and range of any given data set. These calculations, known as measures of central tendency, can provide valuable information about a data set.

Measures of Dispersion and Skewness

2. Measures of Dispersion and Skewness

Watch this video lesson to learn how you can describe your data using two different statistical characteristics. Learn what it means for your graph to have variability and what it means for your graph to be skewed.

Normal Distribution: Definition, Properties, Characteristics & Example

3. Normal Distribution: Definition, Properties, Characteristics & Example

In this lesson, we will look at the Normal Distribution, more commonly known as the Bell Curve. We'll look at some of its fascinating properties and learn why it is one of the most important distributions in the study of data.

Regression Analysis: Definition & Examples

4. Regression Analysis: Definition & Examples

Watch this video lesson to learn about regression analysis and how you can use it to help you analyze and better understand data that you receive from surveys or observations. Learn what is involved in regression analysis and what to look out for.

Organizing and Understanding Data with Tables & Schedules

5. Organizing and Understanding Data with Tables & Schedules

In math, when we have to deal with a lot of data, having a visual format to present all the data becomes very useful. Watch this video lesson to learn how you can take advantage of two of these visual formats.

Understanding Bar Graphs and Pie Charts

6. Understanding Bar Graphs and Pie Charts

In this lesson, we will examine two of the most widely used types of graphs: bar graphs and pie charts. These two graphs can provide the reader with a comparison of the different data that is displayed.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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