MATH 1P98 Lecture : Poisson Probability

• School: Brock University
• Department: Mathematics and Statistics
• Course: MATH 1P98
• Professor: Dot Miners

Document Summary

Poisson probability: large # of trials; n>100. Small probability of success; np<10: an observed probability of success over a given time period; num of fish/hour. P(r) = number of success over a given time period r = # of successes over same time period (e ) ( )r r ! Note: and r have same time period. Ex: police officer observed that on average, he stops 0. 7 people per hour. Probability of pulling over r people in an 8hr shift. **how to do this on calculator: shift button, dot button, (negative button), 5. 6 times 5. 6, yx, 1 divide 1, shift button, 4. = (given probability/1 hr) * new time fram. Chap 6: normal distribution: bell shaped, symmetric around , tails never touch x-axis, area under the curve = 1. 68% of data falls between . 95 %of data falls between 2 .