# Ch 21: Ohio EOCE Integrated Math II: Calculating the Standard Deviation

### About This Chapter

## Ohio EOCE Integrated Math II: Calculating the Standard Deviation - Chapter Summary

When studying for the Ohio EOCE Integrated Math II exam, it's a great idea to refresh your knowledge of methods for calculating standard deviation. In these lessons, you'll brush up on scatter plots, quartile hoops and more. By the end of this chapter, you will have greater knowledge of:

- Quartiles and interquartile range
- Line graphs
- The use of quantitative data to make estimates and predictions
- The simple linear regression formula
- Linear regression as a problem-solving technique

Our instructors have developed these lessons specifically to cover material regarding the standard deviation calculations you are likely to see on the exam. The lessons have also been designed to keep you engaged in the studying process, so you'll find several methods for learning. Video lessons are included to visually exhibit the material. Transcripts of the videos are available for text-based learning. Test yourself along the way with self-assessment quizzes. When you've viewed all of the lessons, take the cumulative chapter test to practice for the exam.

### 1. Quartiles & the Interquartile Range: Definition, Formulate & Examples

Quartiles and the interquartile range can be used to group and analyze data sets. In this lesson, learn the definition and steps for finding the quartiles and interquartile range for a given data set.

### 2. 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.

### 3. 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.

### 4. Simple Linear Regression: Definition, Formula & Examples

Simple linear regression is a great way to make observations and interpret data. In this lesson, you will learn to find the regression line of a set of data using a ruler and a graphing calculator.

### 5. Problem Solving Using Linear Regression: Steps & Examples

Linear regression can be a powerful tool for predicting and interpreting information. Learn to use two common formulas for linear regression in this lesson.

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### Other Chapters

Other chapters within the Ohio End of Course Exam - Integrated Math II: Test Prep & Practice course

- Ohio EOCE Integrated Math II: Basic Math Review
- Ohio EOCE Integrated Math II: Basic Algebraic Expressions
- Ohio EOCE Integrated Math II: Solving Word Problems
- Ohio EOCE Integrated Math II: Polynomials
- Ohio EOCE Integrated Math II: Solving Quadratic Equations
- Ohio EOCE Integrated Math II: Linear Equations & Inequalities
- Ohio EOCE Integrated Math II: Absolute Value Equations & Inequalities
- Ohio EOCE Integrated Math II: Graphing Linear Equations & Inequalities
- Ohio EOCE Integrated Math II: Functions in Math
- Ohio EOCE Integrated Math II: Graphing Functions
- Ohio EOCE Integrated Math II: Rational Expressions
- Ohio EOCE Integrated Math II: Matrices
- Ohio EOCE Integrated Math II: Sequences & Series
- Ohio EOCE Integrated Math II: Exponentials & Logarithms
- Ohio EOCE Integrated Math II: Complex Numbers
- Ohio EOCE Integrated Math II: Advanced Coordinate Geometry
- Ohio EOCE Integrated Math II: Three-Dimensional Geometry
- Ohio EOCE Integrated Math II: Overview of Trigonometry
- Ohio EOCE Integrated Math II: Calculating Probability & Permutations
- Ohio EOCE Integrated Math II: Working with Data & Statistics
- Ohio EOCE Integrated Math II: Logic in Mathematics
- Ohio EOCE Integrated Math II: Understanding Limits
- Ohio End of Course Exam - Integrated Math II Flashcards