Ch 41: TExES Physics/Math 7-12: Statistical Inference

About This Chapter

Sharpen your understanding of statistical inference before you sit for the TExES Physics/Math 7-12 teacher certification examination. When you study this chapter's lessons and take the corresponding quizzes, you can review the subject.

TExES Physics/Math 7-12: Statistical Inference - Chapter Summary

This chapter addresses statistical inference, statistical analysis, bivariate data and variability in statistics. In part, the educational lessons will refresh your memory of scatterplots and outline the techniques for reading them, and they'll allow you to explore various kinds of statistics. Review these topics before you take the TExES Physics/Math 7-12 examination. This chapter could help you with:

  • Analyzing statistical data in order to predict trends
  • Examining the correlation between coefficients and scatterplots
  • Interpreting graphs of categorical data
  • Making estimates with quantitative data
  • Learning more about internal validity
  • Defining bivariate data, variability in statistics, simple linear regression and hypothesis testing
  • Calculating the intercept and slope of linear models
  • Completing practice problems involving linear relationships
  • Studying the law of large numbers
  • Estimating parameters with sample data

All of these tutorial lessons emphasize a different statistical inference topic. If you're planning to sit for the TExES Physics/Math 7-12 examination in the near future, your review of these subjects could prepare you for related questions on the certification assessment. The lessons are short, entertaining and developed by math and physics experts. Self-assessment quizzes, written transcripts and worksheets are all included to enhance your learning experience.

14 Lessons in Chapter 41: TExES Physics/Math 7-12: Statistical Inference
Test your knowledge with a 30-question chapter practice test
Statistical Analysis: Using Data to Find Trends and Examine Relationships

1. Statistical Analysis: Using Data to Find Trends and Examine Relationships

Many different organizations use statistical analysis to describe and analyze data and to predict future trends. Learn about the different types of statistics in this video lesson.

The Relationship Between Variables: Correlation Coefficient & Scatterplots

2. The Relationship Between Variables: Correlation Coefficient & Scatterplots

The focus of this lesson is on how both correlation coefficients and scatterplots convey the same message. Specifically, this lesson will explore how these two can reveal the same information but in different ways.

Make Estimates and Predictions from Categorical Data

3. 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.

Making Estimates and Predictions using Quantitative Data

4. 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.

Drawing Conclusions Based on Internal Validity

5. Drawing Conclusions Based on Internal Validity

When a researcher gets the results of their study back, how do they know that the independent variable caused the results? In this lesson, we'll look at how internal validity shapes the way researchers draw conclusions about their research.

What is Bivariate Data? - Definition & Examples

6. What is Bivariate Data? - Definition & Examples

In this lesson, you will be learning about the definition and uses of bivariate data. We will also compare and contrast the characteristics of univariate data and bivariate data.

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.

Interpreting the Slope & Intercept of a Linear Model

9. Interpreting the Slope & Intercept of a Linear Model

You've probably seen slope and intercept in algebra. These concepts can also be used to predict and understand information in statistics. Take a look at this lesson!

Interpreting Linear Relationships Using Data: Practice Problems

10. Interpreting Linear Relationships Using Data: Practice Problems

Understanding linear relationships is an important part of understanding statistics. This lesson will help you review linear relationships and will go through three practice problems to help you retain your knowledge. When you are finished, test out your knowledge with a short quiz!

Understanding the Law of Large Numbers

11. Understanding the Law of Large Numbers

The law of large numbers is a concept that is often misunderstood in statistics. In this lesson, you will learn the real meaning of the law of large numbers and how it is employed.

Estimating a Parameter from Sample Data: Process & Examples

12. Estimating a Parameter from Sample Data: Process & Examples

One of the most useful things we can do with data is use it to describe a population. Learn how in this lesson as we discuss the concepts of parameters and samples.

What is Hypothesis Testing? - Definition, Steps & Examples

13. What is Hypothesis Testing? - Definition, Steps & Examples

A proper hypothesis test consists of four steps. After watching this video lesson, you'll understand how to create a hypothesis test to help you confirm or disprove an assumption.

Variability in Statistics: Definition & Measures

14. Variability in Statistics: Definition & Measures

Variability is a measure of the spread of a data set. Learn more about the different measures of variability including the range, variance, and standard deviation, and the way in which they are used in the field of psychology.

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

Earning College Credit

Did you know… We have over 160 college courses that prepare you to earn credit by exam that is accepted by over 1,500 colleges and universities. You can test out of the first two years of college and save thousands off your degree. Anyone can earn credit-by-exam regardless of age or education level.

To learn more, visit our Earning Credit Page

Transferring credit to the school of your choice

Not sure what college you want to attend yet? Study.com has thousands of articles about every imaginable degree, area of study and career path that can help you find the school that's right for you.

Other Chapters

Other chapters within the TExES Physics/Mathematics 7-12 (243): Practice & Study Guide course

Support