About This Chapter
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.
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.
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.
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!
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.
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.
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!
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.
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.
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.
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.
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.
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