PPT-6.3: Binomial and Geometric Random Variables

63 Binomial and Geometric Random Variables After this section you should be able to DETERMINE whether the conditions for a binomial setting are met COMPUTE and INTERPRET probabilities involving binomial random variables. If is a random variable with this probability distribution 0 1 0 1 1 1 1 since the 0 term vanishes Let 1 and 1 Subbing 1 and 1 into the last sum and using the fact that the limits 1 and correspond to 0 and 1 respectively 0 1 1 1 1 0 Delta On-Time Performance at Hartsfield-Jackson Atlanta International (June, 2003 - June, 2015). http://www.transtats.bts.gov/OT_Delay/ot_delaycause1.asp?display=data&pn=1. Data / Model. Total Operations: 2,278,897. Chapter 17: . probability models. Unit 4. The basis for the probability models we will examine in this chapter is the . Bernoulli . (. Ber. -. Noo. -Lee) . trial.. We have Bernoulli trials if:. there are two possible outcomes (success and failure).. 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.. http://www.answers.com/topic/binomial-distribution. Chapter 13: Bernoulli Random Variables. http://www.boost.org/doc/libs/1_42_0/libs/math/doc/sf_and_dist/html. /. math_toolkit. /. dist. /. dist_ref. Delta On-Time Performance at Hartsfield-Jackson Atlanta International (June, 2003 - June, 2015). http://www.transtats.bts.gov/OT_Delay/ot_delaycause1.asp?display=data&pn=1. Data / Model. Total Operations: 2,278,897. B i nom i al & G eometr i c R andom V ar i ables Section 6.3 Reference Text: The Practice of Statistics , Fourth Edition. Starnes, Yates, Moore Objectives Binomial Random Variables and Binomial Distribution Binomial v. Geometric The primary difference between a binomial random variable and a geometric random variable is what you are counting. A binomial random variable counts the number of "successes" Chapter 8. Warm up. Find each combination or permutation. . 5 C 2. 10 C 3. 10 P 3. 8.1 The Binomial Distribution. A . binomial experiment. . is . statistical . experiment. that has the following properties: . Sit with your group and choose a team name. Preferably something corny that has to do with statistics . Today’s game will test your strength, wit, knowledge, and endurance! Remember… HW Passes are at stake folks! May the force be with you!. 5.3. Binomial Random Variables. 5. Determine whether or not a given scenario is a binomial setting.. Calculate . probabilities involving a single value of a binomial random . variable.. Make . a histogram to display a binomial distribution and describe its shape.. 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..