Week 3 Quiz Crjs-4402-1 Planning And Budgeting 2018 Fall

A normal distribution is a continuous probability for a random variable X which is defined based on its mean and standard deviation. The total area under the normal distribution curve can never be infinite. Certainly the value is a finite number and equal to 1. An important property of the normal distribution is the fact that the total area to the left of a specific random variable, say x equals the probability that a randomly chosen value will be less than x. This implies that P(Xx). Consequently, the total area under the curve must be less or equal to the highest probability value of any randomly chosen values which equals 1. I.e. the area under the curve is less than or equal to 1 and therefore not infinite. Y, dXiJ(x( I_TS 1EZBmU/xYy5g/GMGeD3Vqq8K)fw9 xrxwrTZaGy8IjbRcXI u3KGnD1NIBs RuKV.ELM2fi V vlu8zH (W )6-rCSj id DAIqbJx 6kASht(QpmcaSlXP1Mh9MVdDAaVBfJP8 AVf 6Q