Ch 10: Cambridge Pre-U Math Short Course: Normal Distribution

About This Chapter

Normal distribution is used with variables to provide real-world measurements of data. This part of the Cambridge Pre-U Math Short Course review will go over examples and practical usage of normal distribution.

Cambridge Pre-U Math Short Course: Normal Distribution - Chapter Summary

Normal distribution is applied to measurements of statistics and is frequently used in sciences to analyze data. This set of video lessons in the Cambridge Pre-U Math Short Course review will provide you with an entertaining study session full of short presentations that will keep your attention as you prepare for the Pre-U final exam. This chapter includes the following topics:

  • Examples and characteristics of normal distribution
  • Finding z-scores
  • Estimating areas with z-scores
  • Estimating population percentages
  • Approximating binomial probabilities

If you are having trouble with a certain area of this chapter or the Cambridge course itself, the Study.com team of experts is available with a single click to assist you and answer any additional questions you may have about the material. The self-assessment quizzes included in this chapter will also give you a preview of what to expect on the Cambridge final exam.

6 Lessons in Chapter 10: Cambridge Pre-U Math Short Course: 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.
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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