About This Chapter
Categorical Data - Chapter Summary
The lessons in this chapter cover categorical data and the ways to analyze, display and summarize it. You'll learn to use a variety of formats to display data, including tables, scatter plots, stem-and-leaf plots, box-and-whisker plots, histograms and pie charts. Another lesson will teach you how to support arguments, draw conclusions and make predictions using summary statistics and graphs to interpret data.
You'll learn various techniques of analyzing and summarizing bi-variate data, and gain an understanding of working with proportions. By the end of this chapter, you should be familiar with the following:
- How to summarize categorical data using tables
- Pie charts and bar graphs
- Frequency and relative frequency tables
- How to calculate percent increase with frequency and relative frequency tables
- How to use univariate data to make arguments and predictions
- Bivariate data and two-way tables
- Joint, marginal and conditional frequencies
- Confidence intervals and hypothesis testing for proportions
These concise, easy-to-follow video lessons are taught by instructors who are experts in their fields. They use real world examples to explain their topics, and each lesson has key terms highlighted so they're easy to remember. The multiple-choice quizzes at the end of the videos let you test your knowledge. The questions link back to the video, making it simple to review important passages with having to re-watch the entire lesson.
1. Statistical Analysis with Categorical Data
Learn why percentages are so important when analyzing categorical data in this video lesson. Watch as the data is turned into a data table and a visual bar graph as ways to analyze the data.
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. How to Calculate Percent Increase with Relative & Cumulative Frequency Tables
In statistics, one way to describe and analyze data is by using frequency tables. This lesson will discuss relative and cumulative frequencies and how to calculate percent increase using these two methods.
4. What is a Two-Way Table?
Do you believe in Martians? Do you watch football on television? A Two-Way Table or Contingency Table is a great way to show the results of all kinds of survey questions. In this video we will learn how to read a two-way table.
5. Joint, Marginal & Conditional Frequencies: Definitions, Differences & Examples
Joint, marginal, and conditional frequencies are all part of analyzing categorical data and two-way tables. This lesson will help you learn the definitions and differences between each concept.
6. Finding Confidence Intervals for Proportions: Formula & Example
In this lesson, you're going learn how to figure out the margin of error, confidence interval, and point estimate for a population proportion with large sample sizes.
7. Hypothesis Testing for a Proportion
Data sets can be mutually exclusive. What that means is that the population will either be or answer one thing or another. In this lesson, we'll explore how hypothesis testing is applied in that situation.
Earning College Credit
Did you know… We have over 200 college courses that prepare you to earn credit by exam that is accepted by over 1,500 colleges and universities. You can test out of the first two years of college and save thousands off your degree. Anyone can earn credit-by-exam regardless of age or education level.
To learn more, visit our Earning Credit Page
Transferring credit to the school of your choice
Not sure what college you want to attend yet? Study.com has thousands of articles about every imaginable degree, area of study and career path that can help you find the school that's right for you.
Other chapters within the Business Math: Help and Review course
- Graphing and Evaluating Equations and Functions: Help and Review
- Quadratic Equations and Functions: Help and Review
- Linear Equations and Inequalities: Help and Review
- Number Sense - Business Math: Help and Review
- Depreciation & Salvage Values: Help and Review
- Interest & Purchases: Help and Review
- Probability and Statistics for Business: Help and Review
- Math for Financial Analysis
- Business Math Applications
- Project Management Formulas & Calculations