About This Chapter
FTCE Middle Grades Mathematics: Interpreting Data - Chapter Summary
Our video lessons will cover the essential facts about interpreting data. The knowledgeable instructors leading this chapter will provide you with a better understanding of the topics included on the FTCE Middle Grades Mathematics test. The lessons in this chapter will cover information like:
- Making estimates and predictions based on data
- The process of creating a scatterplot
- The definition of quantitative data
- How to differentiate between populations and samples in statistics
- Ways to make arguments and form predictions from univariate data
- Making estimates and predictions using quantitative data
This chapter's lessons will help you prepare for the FTCE Middle Grades Mathematics test. By this chapter's conclusion, you will be well armed with the knowledge you need to answer the data interpretation questions on the exam. Follow the engaging video lessons to brush-up on the topic, and take quizzes to practice.
1. 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.
2. Creating & Interpreting Scatterplots: Process & Examples
Scatterplots are a great visual representation of two sets of data. In this lesson, you will learn how to interpret bivariate data to create scatterplots and understand the relationship between the two variables.
3. 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.
4. 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!
5. Making Arguments & Predictions from Univariate Data
Univariate data is used to describe a situation or experiment; however, you can also use the data to make arguments and predictions. This lesson will show you how to use measures of central tendency to make arguments and predictions.
6. 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 College Preparatory Mathematics: Help and Review course
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- Solving and Graphing Inequalities: Help and Review
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- Properties of Exponents: Help and Review
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- Logarithms and Exponential Equations: Help and Review
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