Math 1025 - Lesson Plan Chapter 5 v2

Math 1025 - Lesson Plan Chapter 5 v2 - Chapter 5 - Normal...

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Chapter 5 - Normal Probability Distributions Section 5.1 - Introduction to Normal Distributions Objectives Interpret graphs of normal probability distributions Find areas under the standard normal curve 1) Continuous random variable - Has an infinite number of possible values that can be represented by an interval on the number line. 2) Continuous probability distribution - The probability distribution of a continuous random variable. 3) Normal distribution - (a) A continuous probability distribution for a random variable, x . (b) The most important continuous probability distribution in statistics. (c) The graph of a normal distribution is called the normal curve . 4) Properties of Normal Distributions - 1. The mean, median, and mode are equal. 2. The normal curve is bell-shaped and symmetric about the mean. 3. The total area under the curve is equal to one. 4. The normal curve approaches, but never touches the x -axis as it extends farther and farther away from the mean. 5. Between μ – σ and μ + σ (in the center of the curve), the graph curves downward. The graph curves upward to the left of μ – σ and to the right of μ + σ. The points at which the curve changes from curving upward to curving downward are called the inflection points . 5) Probability density function (pdf)- is a function that graphs the probability distribution of a continuous random variable. Pdf for an normal curve is: 6) Means and Standard Deviations for Normal Distributions - (a) A normal distribution can have any mean and any positive standard deviation. (b) The mean gives the location of the line of symmetry. (c) The standard deviation describes the spread of the data. Example#1 & Try It Yourself 1 - (p. 241) Look at the normal curves like in the margin of page 241 & ex. #1. Which curve has the greatest mean? Which curve has the greatest standard deviation? {Look at normal curves in Excel spread sheet - Normal Graph Illustration }. a. Where is the line of symmetry in the graphs? b. Which graph is more spread out and why? Example#2 & Try It Yourself 2 - (p. 242) Look at the normal curves like in the examples on page 242. Note line of symmetry, inflection points and estimate the standard deviation (and mean). {look at normal curves in excel}. a. Where is the line of symmetry in the graphs? b. Estimate the inflection points and the distance from the mean to where the curve is at the x-axis to estimate the standard deviation. 7) Standard normal distribution - A normal distribution with a mean of 0 and a standard deviation of 1. 8) Properties of the Standard Normal Distribution - 1. The cumulative area is close to 0 for z -scores close to z = - 3.49. 2. The cumulative area increases as the z -scores increase. 3. The cumulative area for z = 0 is 0.5000. 4. The cumulative area is close to 1 for z -scores close to z = 3.49.
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Use z-score to transform Normal Distribution to Standard Normal distributions. Area under the Standard Normal Curve gives you probabilities of z-values or cumulative probabilities of the z-values. Finding Areas Under the Standard Normal Curve -
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This note was uploaded on 02/07/2012 for the course MATH 1025 taught by Professor Raney during the Fall '10 term at Metro State.

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Math 1025 - Lesson Plan Chapter 5 v2 - Chapter 5 - Normal...

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