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Ch 13: Glencoe Algebra 1 Chapter 13: Statistics

About This Chapter

The Statistics chapter of this Glencoe Algebra 1 Textbook Companion Course helps students learn essential algebra lessons of statistics. Each of these simple and fun video lessons is about five minutes long and is sequenced to align with the Statistics textbook chapter.

How it works:

  • Identify the lessons in the Glencoe Algebra 1 Statistics chapter with which you need help.
  • Find the corresponding video lessons within this companion course chapter.
  • Watch fun videos that cover the 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:

  • Random sampling
  • Stratified and simple random samples
  • Matrix notation and equal matrices
  • Operations with matrices
  • Creation and interpretation of histograms
  • Calculations for mean, median, mode and range
  • Maximums, minimums and outliers in data sets
  • Creation and interpretation of box plots

Glencoe is a registered trademark of McGraw-Hill Education, which is not affiliated with Study.com.

12 Lessons in Chapter 13: Glencoe Algebra 1 Chapter 13: Statistics
Test your knowledge with a 30-question chapter practice test
What is Random Sampling? - Definition, Conditions & Measures

1. What is Random Sampling? - Definition, Conditions & Measures

Random sampling is used in many research scenarios. In this lesson, you will learn how to use random sampling and find out the benefits and risks of using random samples.

Probability Sampling Methods: Definition & Types

2. Probability Sampling Methods: Definition & Types

Choosing a sample is one of the most important steps in research. But how should you choose? In this lesson, we'll look at three types of probability sampling: simple random, systematic, and stratified sampling.

Simple Random Samples: Definition & Examples

3. Simple Random Samples: Definition & Examples

Simple random sampling is a common method used to collect data in many different fields. From psychology to economics, simple random sampling can be the most feasible way to get information. Learn all about it in this lesson!

Stratified Random Samples: Definition, Characteristics & Examples

4. Stratified Random Samples: Definition, Characteristics & Examples

Random sampling isn't always simple! There are many different types of sampling. In this lesson, you will learn how to use stratified random sampling and when it is most appropriate to use it.

Matrix Notation, Equal Matrices & Math Operations with Matrices

5. Matrix Notation, Equal Matrices & Math Operations with Matrices

Watch this video lesson to learn about the basics of matrices and what kinds of math operations you can do with them. Also learn how to determine whether two matrices are the same or not.

Frequency & Relative Frequency Tables: Definition & Examples

6. Frequency & Relative Frequency Tables: Definition & Examples

Frequency and relative frequency tables are a good way to visualize information. This is especially useful for information that is grouped into categories where you are looking for popularity or mode.

Creating & Interpreting Histograms: Process & Examples

7. Creating & Interpreting Histograms: Process & Examples

Creating histograms can help you easily identify and interpret data. This lesson will give you several examples to better understand histograms and how to create them.

How to Calculate Mean, Median, Mode & Range

8. How to Calculate Mean, Median, Mode & Range

Measures of central tendency can provide valuable information about a set of data. In this lesson, explore how to calculate the mean, median, mode and range of any given data set.

Quartiles & the Interquartile Range: Definition, Formulate & Examples

9. 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.

Calculating the Mean, Median, Mode & Range: Practice Problems

10. Calculating the Mean, Median, Mode & Range: Practice Problems

Calculating the mean, median, mode, and range of a data set is a fundamental part of learning statistics. Use this video to practice your skills and then test your knowledge with a short quiz.

Maximums, Minimums & Outliers in a Data Set

11. 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

12. 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!

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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