STATS 2B03 Study Guide - Final Guide: Random Variable, Standard Deviation, Central Limit Theorem
15 Oct 2015
School
Department
Course
Professor
Document Summary
B: since events a and b are disjoint, p(a or b) = p(a)+p(b) = . 15 + This leaves another 1 - . 8 = 0. 2 probability (not a 0 probability) of some other event occurring instead of event a or event b. So choice a is not correct: choice a refers to discrete random variables whose distributions are described by a assigning a probability to each possible outcome. Density curves describe the distribution of continuous random variables. Choice d is wrong because, while a normal-distributed random variable is continuous, there are many other continuous distributions as well. An example of another one that we have seen is the uniform distribution (the flat box-shaped one). 8 p(395 < x-bar < 400) = p(x-bar < 400) p(x-bar < 395) = 0. 5 - . 0968 = . 4032: first find a z from table a for which the area to the left of z is equal to . 30.
