Ch 23: Cambridge Pre-U Mathematics: Normal Distribution

About This Chapter

Allow us to walk you through the properties of the normal distribution of data, and the use of a normal distribution in solving various equations. Video lessons and self-assessment quizzes provide the preparation you need for the Cambridge Pre-U Mathematics exam.

Cambridge Pre-U Mathematics: Normal Distribution - Chapter Summary

The lessons in this chapter cover topics related to normal distribution and its use in mathematics, such as z-scores, estimations based on curves, and estimations of percentages. Study them before you take the exam.Video lessons explore various concepts and show you how to do the following:

  • Understand normal distribution
  • Find z-scores
  • Use z-scores to estimate areas under the normal curve
  • Estimate percentages from normal distributions
  • Use normal distribution
  • Approximate binomial probabilities

Video lessons and self-assessment quizzes introduce you to the basics of normal distribution and its application in mathematics, while making the information easy to understand and retain. Knowledgeable instructors will assist you by providing the information you need to be successful on the Cambridge Pre-U exam.

6 Lessons in Chapter 23: Cambridge Pre-U Mathematics: Normal Distribution
Test your knowledge with a 30-question chapter practice test
Normal Distribution: Definition, Properties, Characteristics & Example

1. Normal Distribution: Definition, Properties, Characteristics & Example

In this lesson, we will look at the Normal Distribution, more commonly known as the Bell Curve. We'll look at some of its fascinating properties and learn why it is one of the most important distributions in the study of data.

Finding Z-Scores: Definition & Examples

2. Finding Z-Scores: Definition & Examples

Talking about multiples of standard deviations can get exhausting and confusing. Luckily, z-scores allow us to talk about how far a point is removed from a mean in terms of how many standard deviations away it is.

Estimating Areas Under the Normal Curve Using Z-Scores

3. Estimating Areas Under the Normal Curve Using Z-Scores

So now that we have a Z-score, what is it used for? Sure, it can make your life easier when describing standard deviations, but finding the area under the normal curve is where the Z-score shines.

Estimating Population Percentages from Normal Distributions: The Empirical Rule & Examples

4. Estimating Population Percentages from Normal Distributions: The Empirical Rule & Examples

If you've been working with z-scores for long, you probably get tired of checking those tables every time you need to check the area under the curve. Luckily, the empirical rule helps us memorize the most important values.

Using the Normal Distribution: Practice Problems

5. Using the Normal Distribution: Practice Problems

In this lesson, we will put the normal distribution to work by solving a few practice problems that help us to really master all that the distribution, as well as Z-Scores, have to offer. Review the concepts with a short quiz at the end.

Using Normal Distribution to Approximate Binomial Probabilities

6. Using Normal Distribution to Approximate Binomial Probabilities

Binomial probabilities describe processes in our world. Learn how to create and interpret a binomial probability distribution graph, and discover how the normal distribution can form a good approximation of the binomial distribution.

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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