Ch 52: TExMaT Master Mathematics Teacher 8-12: Discrete Probability Distributions

About This Chapter

Let us show you all you need to be reviewing about discrete probability distributions in preparation for the TExMaT Master Mathematics Teacher 8-12 exam. These video lessons and self-assessment quizzes give you several different approaches that can help you correctly answer the questions on the test.

TExMaT Master Mathematics Teacher 8-12: Discrete Probability Distributions - Chapter Summary

Use the lessons in this chapter as part of your review of discrete probability distributions as you prepare for the TExMaT Master Mathematics Teacher 8-12 exam. The videos go over all the information you need to know, particularly:

  • Types of random variables
  • Interpreting the expected value of discrete random variables
  • Empirical and theoretical discrete probability distribution and expected values
  • Binomial experiments
  • Solving binomial probabilities using formulas and tables
  • Formula for mean and standard deviation of binomial random variables
  • Binomial experiments

Our experienced instructors guide you as you revisit the material about discrete probability distributions as part of your test preparation. Having multiple didactic strategies means you are exposed to the content several times making it clearer and more easily retained.

Objectives of the TExMaT Master Mathematics Teacher 8-12: Discrete Probability Distributions Chapter

The TExMaT Master Mathematics Teacher 8-12 Exam is a standardized test that is designed to ensure that educators certified as a Master Mathematics Teachers have the content and professional knowledge necessary to perform the duties of teaching mathematics and mentoring other teachers at a satisfactory level. Your score on this test will determine whether you are eligible to be certified as a Master Mathematics Teacher in the state of Texas. The lessons in this chapter are found in Domain V: Probability and Statistics: Content, Instruction and Assessment, which makes up about 14% of the test questions. You can check on your mastery of the material and gain some practice answering the types of questions on the test by completing the self-assessment quizzes that go along with each lesson.

There are 90 multiple-choice questions and 1 case-study assignment on this paper-based test. For the multiple-choice questions, you will be given a mathematical problem and be presented with several possible answers, only one of which is correct.The case-study asks you to develop a constructed response.

9 Lessons in Chapter 52: TExMaT Master Mathematics Teacher 8-12: Discrete Probability Distributions
Test your knowledge with a 30-question chapter practice test
Random Variables: Definition, Types & Examples

1. Random Variables: Definition, Types & Examples

This lesson defines the term random variables in the context of probability. You'll learn about certain properties of random variables and the different types of random variables.

Finding & Interpreting the Expected Value of a Discrete Random Variable

2. Finding & Interpreting the Expected Value of a Discrete Random Variable

Discrete random variables appear in your life a lot more than you think. You can use expected values to find the probability of a discrete random variable, as shown in this lesson.

Developing Discrete Probability Distributions Theoretically & Finding Expected Values

3. Developing Discrete Probability Distributions Theoretically & Finding Expected Values

In this lesson, we will look at generating a theoretical probability distribution for a discrete random variable and introduce the concept of expected value.

Developing Discrete Probability Distributions Empirically & Finding Expected Values

4. Developing Discrete Probability Distributions Empirically & Finding Expected Values

In this lesson, we will look at creating a discrete probability distribution given a set of discrete data. We will also look at determining the expected value of the distribution.

Binomial Experiments: Definition, Characteristics & Examples

5. Binomial Experiments: Definition, Characteristics & Examples

Binomial experiments happen in your everyday life far more often than you might think. In this lesson, you will learn the characteristics of binomial experiments that will help you identify them.

Finding Binomial Probabilities Using Formulas: Process & Examples

6. Finding Binomial Probabilities Using Formulas: Process & Examples

You can find the probability of getting a certain number of successes when conducting a binomial experiment. In this lesson, you will learn how to find this information using the binomial probabilities formula.

Finding Binomial Probabilities Using Tables

7. Finding Binomial Probabilities Using Tables

A binomial probability table can look intimidating to use. However, it can make your life a lot easier when trying to figure out binomial probabilities. This lesson will teach you how to read those tables.

Mean & Standard Deviation of a Binomial Random Variable: Formula & Example

8. Mean & Standard Deviation of a Binomial Random Variable: Formula & Example

When working with binomial random variables and experiments, it is important to understand the mean and standard deviation. In this lesson, you will learn how to analyze binomial experiments using the mean and standard deviation of a binomial random variable.

Solving Problems with Binomial Experiments: Steps & Example

9. Solving Problems with Binomial Experiments: Steps & Example

Sometimes when conducting research you will need to use binomial experiments to solve problems. In this lesson, you will learn about binomial experiments and how to use probability to solve problems.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
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Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
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