[PDF] MATH 323 - TOTAL PROBABILITY AND BAYES THEOREM: EXAMPLES



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Total Probability Theorem - Cornell University

† Example A coin is flipped 10 times ¢ Ω is the space of all sequences of H and T of length 10 ¢ Let X count the number of heads ¢ For example X(HHTHHTTHTH) = 6 † Can you think of an analogous X for the other prob-lems mentioned above? 6 †



WORKED EXAMPLES 1 TOTAL PROBABILITY AND BAYES’ THEOREM

TOTAL PROBABILITY AND BAYES’ THEOREM EXAMPLE 1 A biased coin (with probability of obtaining a Head equal to p > 0) is tossed repeatedly and independently until the first head is observed Compute the probability that the first head appears at an even numbered toss SOLUTION: Define:



MATH 323 - TOTAL PROBABILITY AND BAYES THEOREM: EXAMPLES

MATH 323 - TOTAL PROBABILITY AND BAYES THEOREM: EXAMPLES EXAMPLE 1 A biased coin (with probability of obtaining a Head equal to p > 0) is tossed repeatedly and independently until the first head is observed



Priors, Total Probability, Expectation, Multiple Trials

Estimating P(B) Total Probability Theorem: If A 1, A 2, A 3, is a (finite or countably infinite) partition of S (they are pairwise disjoint subsets and their union is S), and



Probability Theory 1 Sample spaces and events

For example, the sample space might be the outcomes of the roll of a die, or ips of a coin To each element xof the sample space, we assign a probability, which will be a non-negative number between 0 and 1, which we will denote by p(x) We require that X x2S p(x) = 1; so the total probability of the elements of our sample space is 1



Bayes Theorem Examples By Scott Hartshorn

change it would roll a 2, so the total probability that our friend would draw the 8 sided die, and roll a 2 is 1 / 24 Step 5 – Normalize the Results The total probability of the picking one of the 3 dice, and rolling a 2 is 1/12 + 1/18 + 1/24 = 13 / 72 So we know that the odds that we selected any of the dice and rolled a 2 are 13 / 72



Worked examples — Basic Concepts of Probability Theory

Worked examples — Basic Concepts of Probability Theory Example 1 A regular tetrahedron is a body that has four faces and, if is tossed, the probability that it lands on any face is 1/4 Suppose that one face of a regular tetrahedron has three colors: red, green, and blue The three faces each have only one color: red, blue, and green



GCSE TOPIC BOOKLET PROBABILITY: SAMPLE SPACE DIAGRAMS

The table below shows some of the possible total scores (a) (b) (c) 6 4 Second dice 6 4 10 First dice Complete the table to show all the possible total scores What is the probability of getting a total score of 20 or more? If the two dice are thrown 720 times, how many times would you expect to get a total score of 20 or more?



Probabilit´es - Université Paris-Saclay

Groupe 3 Groupe 4 TOTAL Filles 3 10 13 Garc¸ons 25 19 44 TOTAL 28 29 57 Quelle est la probabilit´e que j’aie tir´e 1 ´etudiant(e) de chaque genre et 1 ´etudiant(e) de chaque groupe Au total, il y a 57×56 = 3192 arrangements de 2 ´etudiant(e)s parmi 57 On consid`ere que tous ces arrangements sont ´equiprobables

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