About This Chapter
ACT Math: Data and Statistics - Chapter Summary
Use this chapter to ensure you're familiar with the uses of data and statistics as you prepare for the ACT Math exam. These lessons will help you go over:
- Statistical analysis with data
- Bar graphs, pie charts, line graphs, histograms and tables
- Two-way, relative and cumulative frequency tables
- Estimating and making predictions from categorical and quantitative data
- Categorical and quantitative data
- Center, shape, spread, mean, median, mode and range
- Relationships between quantitative variables
We offer short video lessons that will walk you through each of these mathematical concepts. A text transcript with key terms and a self-assessment quiz accompanies each lesson. If you have any difficulties with these lessons, our expert instructors are available to answer your questions.
1. How to Interpret Information From Graphs
Graphs are an excellent way to condense a lot of information into an easily readable format. In this lesson, you'll learn about reading and interpreting information from graphs.
2. Visual Representations of a Data Set: Shape, Symmetry & Skewness
Visual representations are a fantastic way of understanding and analyzing your data. Use this lesson to understand the characteristics of visual representations of data.
3. 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.
4. What is Bivariate Data? - Definition & Examples
In this lesson, you will be learning about the definition and uses of bivariate data. We will also compare and contrast the characteristics of univariate data and bivariate data.
5. Understanding Bar Graphs and Pie Charts
Bar graphs and pie charts are some of the most used graphical ways to present data. Learn how to read bar graphs and pie charts, and explore some examples to understand how they are interpreted.
6. 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.
7. Mean, Median, Mode & Range
The four most common measures of central tendency are the mean, median, mode, and range. Understand and calculate the mean, median, mode, and range through the given sample problems.
8. Spread in Data Sets: Definition & Example
Identifying the spread in data sets is a very important part of statistics. You can do this several ways, but the most common methods are through range, interquartile range, and variance.
9. Describing the Relationship between Two Quantitative Variables
In this video lesson, you will learn about quantitative variables, what they are, and how one variable relates to another. You will learn why this is important and why it can sometimes even save lives.
10. Making Estimates and Predictions using Quantitative Data
Watch this video lesson to learn how you can read a scatter plot to learn more about a particular situation. Also learn how you can make estimates within the range of data you have and predict what may happen outside the range of data.
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Other chapters within the ACT Prep: Practice & Study Guide course
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