# Ch 38: Distribution & Inference in Statistics

Use the following video lessons and quizzes to help you understand the central limit theorem and the law of large numbers. Learn how to solve problems using normal distributions and z-scores.

## Distribution & Inference in Statistics - Chapter Summary

Instructors begin this chapter on normal distribution by examining its properties. You can take a look at this bell curve's symmetrical center and single mode, as well as the asymptotes at either end, and learn how the normal distribution is used to estimate population percentages.

The relationship between normal distributions, standard deviations and z-scores is covered as well. Video lessons show you the processes involved in finding these measures and illustrate the uses of z-scores to estimate areas.

The chapter concludes with lessons relating normal distribution to two main probability theorems, the central limit theorem and the law of large numbers, both of which can be used to describe the sampling distributions and expected values of an experiment's outcomes. By the time you finish these lessons, you should be familiar with the following:

• Characteristics of normal distribution
• The steps for finding and using z-scores
• Applications of the law of large numbers
• Uses of the central limit theorem

This chapter contains plenty of resources to help you master the concept of normal distribution. In addition to illustrated videos taught by experienced instructors, there are transcripts with embedded links to text lessons that outline key statistics terminology. Lessons also include practice problems, as well as self-assessment quizzes, to help ensure you've got a firm grasp of the main ideas.

5 Lessons in Chapter 38: Distribution & Inference in Statistics
Test your knowledge with a 30-question chapter practice test
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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