Ch 10: Glencoe Math Connects Chapter 10: Data Analysis and Statistics

About This Chapter

The Data Analysis and Statistics chapter of this Glencoe Math Connects Companion Course helps students learn the essential lessons associated with statistics and data analysis. Each of these simple and fun video lessons is about five minutes long and is sequenced to align with the Data Analysis and Statistics textbook chapter.

How It Works:

  • Identify the lessons in the Glencoe Math Connects Data Analysis and Statistics chapter with which you need help.
  • Find the corresponding video lessons within this companion course chapter.
  • Watch fun videos that cover the data analysis and statistics topics you need to learn or review.
  • Complete the quizzes to test your understanding.
  • If you need additional help, rewatch the videos until you've mastered the material or submit a question for one of our instructors.

Students will learn:

  • Mode, mean and median
  • The meaning of spread in data sets
  • Examples of quartiles and interquartile ranges
  • The outliers, minimums and maximums in a data set
  • How to create and interpret box plots
  • How to use double-box and whisker plots
  • The process of creating scatterplots
  • The meaning of simple linear regression
  • How to solve linear regression problems
  • Ways to display statistical data

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8 Lessons in Chapter 10: Glencoe Math Connects Chapter 10: Data Analysis and Statistics
Test your knowledge with a 30-question chapter practice test
Mean, Median & Mode: Measures of Central Tendency

1. Mean, Median & Mode: Measures of Central Tendency

By describing the data using central tendency, a researcher and reader can understand what the typical score looks like. In this lesson, we will explore in more detail these measures of central tendency and how they relate to samples and populations.

Spread in Data Sets: Definition & Example

2. 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.

Quartiles & the Interquartile Range: Definition, Formulate & Examples

3. 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.

Maximums, Minimums & Outliers in a Data Set

4. Maximums, Minimums & Outliers in a Data Set

When analyzing data sets, the first thing to identify is the maximums, minimums, and outliers. This lesson will help you learn how to identify these important items.

Creating & Interpreting Box Plots: Process & Examples

5. Creating & Interpreting Box Plots: Process & Examples

Box plots are an essential tool in statistical analysis. This lesson will help you create a box plot and understand its meaning. When you are finished, test your understanding with a short quiz!

Creating & Interpreting Scatterplots: Process & Examples

6. 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.

Simple Linear Regression: Definition, Formula & Examples

7. 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.

Problem Solving Using Linear Regression: Steps & Examples

8. 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.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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