Download presentation
Presentation is loading. Please wait.
Published bySamson Ferguson Modified over 6 years ago
1
= Basic Probability Notes Basics of Probability Probability
Definitions Experiment – activity under consideration Outcomes – observable results from the experiment Trials – repetition of the experiment Relative frequency – this is the probability of a certain outcome (like temperature, or an exam grade) Experimental Probability The probability of what happens during trials Theoretical Probability The probability of what should happen during trials Basics of Probability Sample Space – all your possible outcomes What is your sample space for the following: flipping a coin once flipping a coin twice rolling a die rolling 2 dice Event – subset of your sample space Example: rolling a 3 with one die, flipping a coin and getting heads Probability How to find probability: # of ways an event can occur Total number of outcomes Experimental Probability Probability = Theoretical = # times an event occurs Total number of trials Example A college has an enrollment of 1210 students. The number in each class is as shown. Class # of students Example Allen has a bucket of chips. In this bucket there are 5 red, 6 yellow and 2 black chips. Find each probability. P(red) P(white) P(not black) Freshmen 420 Sophomore 315 Junior 260 Senior 215 Total 1210 What is the probability that a student selected at random will be a Freshman? Sophomore? Junior? Senior?
2
Experimental is not always the same as theoretical.
Basic Probability Notes Example Sample space for a standard deck of cards A card is randomly selected from a standard deck of cards. Find each probability. P(Face Card) P(red seven) P(heart) EX: Flipping a coin What is the probability of it landing on heads? What if you flipped the coin 3 times? How many possible out comes are there? Example Sample space for rolling a pair of dice A pair of dice is rolled. Find each probability. P( both die are even) P(sum is 10) P(roll doubles) P(sum is 13) P(sum is > 2) Rules of Probability P(A) is always between 0 and 1 If P(A)=0, then P(B) is 100 If P(B)=0 then P(A) IS 100 Theoretical vs. Experimental Probability Theoretical Probability: Experimental (Empirical) Probability: Theoretical vs. Experimental Probability continued: Law of Large Numbers Experimental is not always the same as theoretical. After a large number of trials, experimental probability should get closer to the theoretical probability.
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.