Clearly you can’t just list all the possible values. The Normal Distribution is a family of continuous distributions that can model many histograms of real-life data which are mound-shaped (bell-shaped) and symmetric (for example, height, weight, etc.). Continuous distributions describe the properties […] Discrete distributions describe the properties of a random variable for which every individual outcome is assigned a positive probability. The Normal Distribution is a family of continuous distributions that can model many histograms of real-life data which are mound-shaped (bell-shaped) and symmetric (for example, height, weight, etc.). Lottery Tickets. Examples of normal distribtuion, probability and bell curves in everday examples of life. The fact that this is a probability distribution refers to the fact that different outcomes have different likelihoods of occurring. A normal curve has two parameters: mean $\mu$ (center of the curve) standard deviation $\sigma$ (spread about the center) (..and variance $\sigma^2$) Chapter 7 Continuous Probability Distributions 134 For smaller ranges the area principle still works; for example P()0 .

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