PPT-4.2 (cont.) Standard Deviation of a Discrete Random Variabl

First center expected value Now spread 42 cont Standard Deviation of a Discrete Random Variable Measures how spread out the random variable is Summarizing data and probability Data. RANDOM VARIABLES Definition usually denoted as X or Y or even Z and it is th e numerical outcome of a random process Example random process The number of heads in 10 tosses of a coin Example The number 5 rating Professor William Greene. Stern School of Business. IOMS Department. Department of Economics. Statistics and Data Analysis. Part 11 – . Two Normal. Approximations. Normal Approximations . Professor William Greene. Stern School of Business. IOMS Department. Department of Economics. Statistics and Data Analysis. Part 5 – . Random Variables. Random Variable. Using . random variables to organize the information about a random occurrence. Describing Symmetric Data. Symmetric Data. Body temp. of 93 adults. Recall: 2 characteristics of a data set to measure. center. measures where the “middle” of the data is located. variability. measures how “spread out” the data is. Ch.3 – Quantifying Uncertainty. Anthony J Petrella, PhD. Bioengineering. Big Picture. Why study traditional probability (Ch. 2)?. Unions and intersections allow us to conceptualize system level variability with multiple sources. 1. http://www.landers.co.uk/statistics-cartoons/. 5.1-5.2: Random Variables - Goals. Be able to define what a random variable is.. Be able to differentiate between discrete and continuous random variables.. Random Variables. Definition:. A rule that assigns one (and only one) numerical value to each simple event of an experiment; or. A function that assigns numerical values to the possible outcomes of an experiment.. Random Variables. Definition:. A rule that assigns one (and only one) numerical value to each simple event of an experiment; or. A function that assigns numerical values to the possible outcomes of an experiment.. adding . constants to random variables, multiplying random variables by constants, and adding two random variables together. AP Statistics B. pp. 373-74. 1. Pp. 373-74 are just plain hard. I don’t like the way they are written. Algebra 1B Lesson 42. Instructional material 2. Standard Deviation. Standard Deviation . is a number that tells us how a value in the data set differs from the mean. It also tells us how spread out the numbers are. The bigger the standard deviation, the more widespread the data is.. HW 3 Statistics  Suppose that X is a discrete random variable whose distribution is Value of X: x 1 x 2 x 3 … x k Probablily: p 1 p 2 p 3 … p k  To find the mean (also called the expected Objective. : . Use experimental and theoretical distributions to make judgments about . the . likelihood of various outcomes in uncertain . situations. CHS Statistics. Decide if the following random variable x is discrete(D) or continuous(C). . Section 6.1. Discrete and Continuous. Random Variables. Discrete and Continuous Random Variables. USE the probability distribution of a discrete random variable to CALCULATE the probability of an event.. 1. http://www.landers.co.uk/statistics-cartoons/. 5.1-5.2: Random Variables - Goals. Be able to define what a random variable is.. Be able to differentiate between discrete and continuous random variables..