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Ch 17: Probability, Statistics & Evaluating Data

About This Chapter

In this chapter, you can review entertaining lessons and take short quizzes to improve your understanding of probability, statistics and the evaluation of data in preparation for a test. These helpful resources are available in a secure online environment and make the studying process fun and effective.

Probability, Statistics & Evaluating Data - Chapter Summary

This self-paced chapter is filled with bite-sized lessons developed to boost your knowledge of quantitative data, histograms in math, simple conditional probabilities and more. Examining these lessons can simplify the process of reviewing probability, statistics and the evaluation of data. By the end of this chapter, you will be able to:

  • Differentiate between descriptive and inferential statistics
  • Describe differences between samples and populations in statistics
  • Define and share examples of categorical, discrete and continuous data
  • Interpret graphs, tables and charts
  • Read and interpret line graphs
  • Calculate mean, median, range and mode
  • Make predictions and estimates from categorical data

Studying this chapter is convenient thanks to around-the-clock accessibility via any computer or mobile device with an Internet connection. When you're ready, check your comprehension of probability, statistics and data evaluation by taking the multiple-choice quizzes. The Dashboard tracks your progress through this chapter and lets you submit lesson topic questions to our experts with ease.

11 Lessons in Chapter 17: Probability, Statistics & Evaluating Data
Test your knowledge with a 30-question chapter practice test
How to Calculate Simple Conditional Probabilities

1. How to Calculate Simple Conditional Probabilities

Conditional probability, just like it sounds, is a probability that happens on the condition of a previous event occurring. To calculate conditional probabilities, we must first consider the effects of the previous event on the current event.

Descriptive & Inferential Statistics: Definition, Differences & Examples

2. Descriptive & Inferential Statistics: Definition, Differences & Examples

Descriptive and inferential statistics each give different insights into the nature of the data gathered. One alone cannot give the whole picture. Together, they provide a powerful tool for both description and prediction.

Difference between Populations & Samples in Statistics

3. Difference between Populations & Samples in Statistics

Before you start collecting any information, it is important to understand the differences between population and samples. This lesson will show you how!

What is Quantitative Data? - Definition & Examples

4. What is Quantitative Data? - Definition & Examples

Watch this video lesson to find out the difference between saying you have seven apples and saying that those apples are delicious. You will learn about quantitative data and why it is useful.

What is Categorical Data? - Definition & Examples

5. What is Categorical Data? - Definition & Examples

Categorical data is one of two types of data that you can collect when conducting research. This lesson will teach you how to understand and use categorical data.

Discrete & Continuous Data: Definition & Examples

6. Discrete & Continuous Data: Definition & Examples

You might be surprised to find that data is more than just a collection of numbers. Data is divided into several categories, including discrete and continuous data. Find out why!

What is a Histogram in Math? - Definition & Examples

7. What is a Histogram in Math? - Definition & Examples

Watch this video lesson to see how useful a histogram can be when you need to show a bunch of data in an easy to read format. Also, learn how you can easily gather the information you need from looking at a histogram.

Interpreting Charts, Graphs & Tables

8. Interpreting Charts, Graphs & Tables

Important information in the business and scientific world is often presented in various visual aids. In this lesson, we will discuss how to read and interpret charts, graphs, and tables.

Reading and Interpreting Line Graphs

9. Reading and Interpreting Line Graphs

Watch this video lesson to find out how useful line graphs can be and how much information you can gain just from looking at one. Learn how you can apply that information in your own life to help you make better decisions.

How to Calculate Mean, Median, Mode & Range

10. How to Calculate Mean, Median, Mode & Range

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

Make Estimates and Predictions from Categorical Data

11. Make Estimates and Predictions from Categorical Data

Categorical data can be estimated but not predicted. Learn why in this video lesson along with how to read and gather information from a bar graph of categorical data.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
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Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
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