MATH 10041 Study Guide - Midterm Guide: Probability Distribution, Random Variable, Binomial Distribution

• School: Kent State University
• Department: Mathematics
• Course: MATH 10041
• Professor: Beverly M Reed

Document Summary

Learning outcomes math 10041 chapter 6. Understand that a probability model (or probability distribution) lists the possible outcomes of an experiment and each outcome"s probability; Understand that (and why) the sum of the probabilities in a probability distribution is 1; Understand the difference between discrete and continuous numerical variables; Understand that the expected value of a discrete probability distribution is the mean of that distribution. Interpret the area under the density curve for a continuous distribution and use it to approximate probabilities or proportions; Understand the benefits of making a sketch when finding probabilities using the normal probability model; Understand what the standard normal curve is and how it is used. Understand that the binomial distribution model applies only for some discrete probability experiments; Recognize when the binomial model is an appropriate model for calculating probabilities. Explain, in their own words, what a probability distribution is; Given a numerical random variable, determine if it is discrete or continuous;