MATH 2510 Chapter Notes - Chapter 5: Standard Deviation, Random Variable, Probability Distribution
26 Sep 2018
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Random variable is a quantitative variable associated with a random or chance outcome of an experiment. A discrete random variable takes on a countable, finite number of values. A continuous random variable takes on any value in an interval of the number line. A discrete probability is doing probabilities rather than frequency for the y variable. A statistical experiment or observation is anything in which measurements are taken. Miu (mean of data) = the sum of xp(x) Epsilon (standard dev) = sqrt( the sum of ( (x - miu)^2p(x))) The mean of a probability dist. is often called expected value. Linear function model- l = a + bx. You can also calculate the mean variance and standard deviation of the linear function. The formula for the mean does not care if its independent, but the formulas for the variance and standard deviation are. Objective is to find probability of r successes out of n trials.
