COMM 215 Lecture Notes - Lecture 6: Addison-Wesley, Probability Distribution, Unimodality
31 Jan 2017
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Document Summary
Comm 215 - lecture 6 - intro to continuous probability distributions. Approaches horizontal axis on either side of the mean towards +- infinity. Variation determines height & spread of dist. Changing shifts the distribution left or right. Probability for a range of values is defined by the area under the curve. Values above the mean have positive z values, those below have negative z values. X is 3 std dev above the mean. Probabilities provided represent chances of a value being between a positive z-value and the population mean of 0. Uniform probability distribution: distribution of little information: the probability over any interval of continuous random variable is the same as for any other interval of the same width. The exponential probability distribution: used to measure the time that elapses between two occurrences of an event. The graph of a uniform distribution is a rectangle. Measures time elapsed between 2 occurrences of an event.
