Ch 37: TExES Physics/Math 7-12: Statistics

About This Chapter

Before taking the TExES Physics/Mathematics 7-12 test, review what you need to know about statistics. Watch this series of lesson videos to refresh your knowledge about central tendency, standard deviation and percentile rank as part of your preparation.

TExES Physics/Math 7-12: Statistics - Chapter Summary

An important part of understanding the findings of any scientific field is understanding the statistics behind them. Before you take the TExES Physics/Mathematics 7-12 exam, watch these lesson videos of professional instructors as they explain the functions and equations for central tendency, standard deviation and percentile rank. After this chapter you should be prepared to answer questions regarding:

  • The mean, median and mode of a distribution
  • Population and sample variance
  • Standard deviation
  • Range, maximums, minimums and outliers
  • Interquartile range and percentiles
  • Frequency and frequency tables
  • Histograms

After watching the lesson videos in this chapter, complete lesson worksheets and quizzes to further reinforce your understanding of the statistical procedures presented in this chapter. Use your quiz results to find out what areas you could improve upon, then do so by going through video tags that are linked to the key points of the lesson videos. If at any time in the chapter you become confused, be sure to ask our expert instructors for clarification so that you will be fully prepared for statistics questions on the TExES Physics/Mathematics 7-12 exam.

14 Lessons in Chapter 37: TExES Physics/Math 7-12: Statistics
Test your knowledge with a 30-question chapter practice test
Descriptive & Inferential Statistics: Definition, Differences & Examples

1. Descriptive & Inferential Statistics: Definition, Differences & Examples

Descriptive and inferential statistics each give different insights into the nature of the data gathered. One alone cannot give the whole picture. Together, they provide a powerful tool for both description and prediction.

How to Calculate Mean, Median, Mode & Range

2. 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.

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

3. 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.

Population & Sample Variance: Definition, Formula & Examples

4. Population & Sample Variance: Definition, Formula & Examples

Population and sample variance can help you describe and analyze data beyond the mean of the data set. In this lesson, learn the differences between population and sample variance.

Calculating the Standard Deviation

5. Calculating the Standard Deviation

In this lesson, we will examine the meaning and process of calculating the standard deviation of a data set. Standard deviation can help to determine if the data set is a normal distribution.

Maximums, Minimums & Outliers in a Data Set

6. 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.

Quartiles & the Interquartile Range: Definition, Formulate & Examples

7. 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.

Finding Percentiles in a Data Set: Formula & Examples

8. Finding Percentiles in a Data Set: Formula & Examples

Percentiles are often used in academics to compare student scores. Finding percentiles in a data set can be a useful way to organize and compare numbers in a data set.

Frequency & Relative Frequency Tables: Definition & Examples

9. 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.

Cumulative Frequency Tables: Definition, Uses & Examples

10. Cumulative Frequency Tables: Definition, Uses & Examples

Cumulative frequency tables can help you analyze and understand large amounts of information. In this lesson, you practice creating and interpreting cumulative frequency tables.

How to Calculate Percent Increase with Relative & Cumulative Frequency Tables

11. How to Calculate Percent Increase with Relative & Cumulative Frequency Tables

In statistics, one way to describe and analyze data is by using frequency tables. This lesson will discuss relative and cumulative frequencies and how to calculate percent increase using these two methods.

Creating & Interpreting Histograms: Process & Examples

12. 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.

The Effect of Linear Transformations on Measures of Center & Spread

13. The Effect of Linear Transformations on Measures of Center & Spread

Linear transformations can be a great way to manipulate and analyze data. This lesson will show you how those transformations affect the center and spread of data.

Using Mean, Median, and Mode for Assessment

14. Using Mean, Median, and Mode for Assessment

How does a teacher decide what is a good exam score and what is a bad one? This lesson focuses on classroom assessment, but instead of different types of assessment (such as essay versus true/false questions), we'll discuss statistical methods for summarizing scores on any form of testing. Specifically, this lesson covers the statistical tools known as the mean, median and mode.

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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