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View or Print: Summary: Contents: BrownMath.com → Stats w/o Tears → 7. Normal Distributions Stats without Tears 7. Normal Distributions Updated 8 July 2024 Copyright © 2013–2025 by Stan Brown, BrownMath.com These pages change automatically for your screen or printer. Underlined text, printed URLs, and the table of contents become live links on screen; and you can use your browser’s commands to change the size of the text or search for key words. The normal distribution (ND) is important for two reasons. First, many natural and artificial processes are ND. You’ll look at some of those in this chapter. Second, any process can be treated as a ND through sampling. That will be the subject of Chapter 8, and it’s also the foundation of the inferential statistics you’ll do in Chapters 9 through 11. 7A. Continuous Random Variables 7A1. Density Curves 7A2. Probability and Continuous Distributions · Area = Probability · Two Interpretations of Probability 7B. The Normal Model 7B1. Properties of the Normal Distribution 7B2. From Boundaries, Find Probability · Computing the Area · Percentiles 7B3. From Probability, Find Boundaries · Percentiles Again 7C. The Standard Normal Distribution 7C1. “N...