Chapter 6 The Normal Distribution

Chapter 6 The Normal Distribution - Ch. 6 The Normal...

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Ch. 6 The Normal Distribution A continuous random variable is a variable that can assume any value on a continuum (can assume an uncountable number of values) thickness of an item time required to complete a task temperature of a solution height, in inches These can potentially take on any value, depending only on the ability to measure accurately.
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The polygon of the distribution become a smooth curve called Probability Density Function (this is equivalent to Probability Distribution for discrete random variable) a b X P a X b ( ) P a X b ( ) < < = f(X) (Note that the probability of any individual value is zero)
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The Normal Distribution Bell Shaped Perfectly Symmetrical Mean, Median and Mode are Equal Location on the value axis is determined by the mean, μ Spread is determined by the standard deviation, σ The random variable has an infinite theoretical range: + to - Mean = Median = Mode f(X) μ σ - +
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What can we say about the distribution of values around the mean? There are some general rules: Probability is measured by the area under the curve
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This note was uploaded on 11/16/2011 for the course ECON 202 taught by Professor Kim during the Fall '11 term at CSU Fullerton.

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Chapter 6 The Normal Distribution - Ch. 6 The Normal...

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