May , 5.2, 5.3 Discrete Probability

Slides:



Advertisements
Similar presentations
Bellwork If you roll a die, what is the probability that you roll a 2 or an odd number? P(2 or odd) 2. Is this an example of mutually exclusive, overlapping,
Advertisements

Experimental Probability.
Advanced LABVIEW EE 2303.
March 31, 2015Applied Discrete Mathematics Week 8: Advanced Counting 1 Discrete Probability Example I: A die is biased so that the number 3 appears twice.
Mathematics in Today's World
22C:19 Discrete Structures Discrete Probability Fall 2014 Sukumar Ghosh.
1 Copyright M.R.K. Krishna Rao 2003 Chapter 5. Discrete Probability Everything you have learned about counting constitutes the basis for computing the.
Conditional probability Probability of an event E, given that an event F has occurred is called the conditional probability of E given F, and is written.
AP STATISTICS.   Theoretical: true mathematical probability  Empirical: the relative frequency with which an event occurs in a given experiment  Subjective:
VAVLPVCTYMAUS PSABLADDERZSB EBSANTESHTICL RLDUDSKTTVSRA EDEARCENEAUOD CRFNORSASINTD TPEUUOCPTDATP UNRTMTRBEEXME MIEUSUULSNSNN USNMEMNISAIIT AESXSVPENNISI.
QPLNHTURBIOTS CADAIASOINCOS OSTPOSTLGVAGT AJRLFKLEROUEA CLARITYSOLSTB HTEAMVSRUVAHI INTERACTPELEL NAPKSOCIALIRI GSOCIOGRAMTST CONFORMITYYTY 14 WORDS ANSWERS.
Lecture Discrete Probability. 5.1 Probabilities Important in study of complexity of algorithms. Modeling the uncertain world: information, data.
Review Chapter Chapter 1 Combinatorial Analysis Basic principle of counting Permutation Combination 2.
Counting and Probability. Counting Elements of Sets Theorem. The Inclusion/Exclusion Rule for Two or Three Sets If A, B, and C are finite sets, then N(A.
The Birthday Problem with Applications to Cryptography Amy Prager.
Lecture Discrete Probability. 5.3 Bayes’ Theorem We have seen that the following holds: We can write one conditional probability in terms of the.
Warm-up 5.4 Notes Conditional Probability 1.a. b.c.d. e. 2. a. table on the board. Answer b to f in %s since the numbers are really small. b.c. d.e. f.
CALCULATE THE PROBABILITY OF AN EVENT. 1.ANSWER THIS QUESTION: IS THE EVENT POSSIBLE? STOP: DON’T CONTINUE. THE PROBABILITY OF THE EVENT IS O GO TO NUMBER.
Discrete Mathematics Math 6A Homework 6 Solution.
Probability Formulas The probability of more than one outcome. This is a union of the probabilities. If events are disjoint: If events are not disjoint:
Conditional Probability and Intersection of Events Section 13.3.
ICS 253: Discrete Structures I Discrete Probability King Fahd University of Petroleum & Minerals Information & Computer Science Department.
Example Suppose we roll a die and flip a coin. How many possible outcomes are there? Give the sample space. A and B are defined as: A={Die is a 5 or 6}
Chapter 4 Probability, Randomness, and Uncertainty.
Bernoulli Trials, Geometric and Binomial Probability models.
10.5 Independent Events Objective: Find the probability of 2 or more independent events.
Discrete Math Section 16.3 Use the Binomial Probability theorem to find the probability of a given outcome on repeated independent trials. Flip a coin.
I can find probabilities of compound events.. Compound Events  Involves two or more things happening at once.  Uses the words “and” & “or”
Quiz 5 May , 5.2 Discrete Probability. Quiz 4: May-04 ’ pm In the following experiment we roll a fair die 5 times. a) What is the.
3/7/20161 Now it’s time to look at… Discrete Probability.
Section 6.4: Conditional Probability. Conditional Probability of an Event Let E and F be two events with P(F) > 0. Conditional Probability is denoted.
Now it’s time to look at…
ICS 253: Discrete Structures I
Probability – part 1 Prof. Carla Gomes Rosen 1 1.
Simple Probability Probability Experiment: An action (trial) that has measurable results (counts, measurements, responses). Outcome: The result of a single.
Sequences, Series, and Probability
22C:19 Discrete Math Discrete Probability
Applied Discrete Mathematics Week 7: Probability Theory
Statistics 300: Introduction to Probability and Statistics
A ratio that measures the chance that an event will happen
CS104:Discrete Structures
The Counting Principle
Conditional Probability
Discrete Probability Distributions
Now it’s time to look at…
Statistics 1: Elementary Statistics
Unit 6 Random Variables.
Have Fridays homework out
Lecture 1: Solutions to the Self-Test .
Chapter 17 Thinking about Chance.
Chapter 11: Intro to Genetics
Experimental vs. Theoretical Probability
Intro to Probability.
Now it’s time to look at…
Statistics 1: Elementary Statistics
Probability Problems Solved with
Sets A set is simply any collection of objects
Homework: pg. 398 #4, 5 pg. 402 #10, 11 4.) A. A single random digit simulates one shot, 1-7 represents a made shot 8-10 represents a miss. Then 5 consecutive.
Now it’s time to look at…
Counting Methods and Probability Theory
Mrs.Volynskaya Alg.2 Ch.1.6 PROBABILITY
Counting Methods and Probability Theory
Experimental vs. Theoretical Probability
Now it’s time to look at…
Randomness, Probability, and Simulation
Chapter 3: Independent Events
Lecture 2 Basic Concepts on Probability (Section 0.2)
A random experiment gives rise to possible outcomes, but any particular outcome is uncertain – “random”. For example, tossing a coin… we know H or T will.
Sets, Combinatorics, Probability, and Number Theory
Presentation transcript:

May 4 2004 5.1, 5.2, 5.3 Discrete Probability Quiz 4 May 4 2004 5.1, 5.2, 5.3 Discrete Probability

Quiz 4: May-04 ’04 3.30-3.45 pm We conduct an experiment where we roll a die 5 times. The order in which the numbers a read out is important. What is the total number of possible outcomes of this experiment. b) What is the probability that exactly 3 times a “2” appears in the sequence (event E) (hint: first count the number of ways you can realize a sequence with 3 “2”’s, then count the number of each sequence can be realized.) c) What is the probability that at least twice no “2” appears, i.e. 1,3,4,5 or 6 appears (event F). This question will not be part of your grade. d) Which of the following are true: e) Compute the probabilities: f) Are the events E and F independent ?

Quiz 4: Answers What is the total number of possible outcomes of this experiment. 6^5 b) What is the probability that exactly 3 times a “2” appears in the sequence (event E) (hint: first count the number of ways you can realize a sequence with 3 “2”’s, then count the number of each sequence can be realized.) C(5,3) x 5^2 / 6^5 c) What is the probability that at least twice no “2” appears, i.e. 1,3,4,5 or 6 appears (event F): The probability that at most 3 times a “2” appears= 5^5/6^5 + C(5,1) x 5^4/6^5 + C(5,2) x 5^3/6^5 + C(5,3) x 5^2/6^5. prob. 0 “2”’s appear – prob. 1 “2” appears etc. until prob. 3 “2”’s appear. d) Which of the following are true: If E happens, then F is automatically true  E is subset of F. e) Compute the probabilities: , P(E|F) = P(E)/P(F), P(F|E) = P(E)/P(E) = 1 f) Are the events E and F independent ? NO!