Chapter 6: Continuous Probability Distribution

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6 Terms

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Exponential Probability Distribution

A continuous probability distribution that is useful in computing probabilities for the time it takes to complete a task.

<p><span>A continuous probability distribution that is useful in computing probabilities for the time it takes to complete a task.</span></p>
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Normal Probability Distribution

A continuous probability distribution. Its probability density function is bell shaped and determined by its mean μ and standard deviation σ.

<p><span>A continuous probability distribution. Its probability density function is bell shaped and determined by its mean </span><em>μ</em><span> and standard deviation </span><em>σ</em><span>.</span></p>
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Probability Density Function

A function used to compute probabilities for a continuous random variable. The area under the graph of a probability density function over an interval represents probability.

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Standard Normal Probability Distribution

A normal distribution with a mean of zero and a standard deviation of one.

<p><span>A normal distribution with a mean of zero and a standard deviation of one.</span></p>
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Uniform Probability Distribution

A continuous probability distribution for which the probability that the random variable will assume a value in any interval is the same for each interval of equal length.

<p><span>A continuous probability distribution for which the probability that the random variable will assume a value in any interval is the same for each interval of equal length.</span></p>
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Uniform Probability Density Function

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