MATH 10041 Lecture Notes - Lecture 14: Binomial Distribution, Standard Deviation

• School: Kent State University
• Department: Mathematics
• Course: MATH 10041
• Professor: Rajeev Rajaram

Document Summary

Binomial probability model- a model for discrete-valued numerical variables (counts and whole numbers) Use when the outcome is a count. Only two outcomes are possible at each trial (success of failure of the trial) The probability of success is the same at each trial (success = p) If all of these characteristics are met, use the binomial model to find. To mathematically find if you can use the binomial model probabilities p n = . Less than 5, can"t be a binomial model (must be normal) If the number of trials is large enough, the distributions will be symmetric. Like the law of large numbers (ch 5. 4) The shape of the binomial distribution depends on both n and p. 2nd vars - a:binompdf( - n, p, x - enter. Ex. what is the probability that you flip a coin 10 times and you get 5 heads.