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4.1 Intro to Simulations and Experimental Probability Design a simulation to model the probability of an event Ex: design a simulation to determine the experimental probability that more than one of 5 keyboards chosen in a class will be defective if we know that 25% are defective 1. Get a well-shuffled deck of cards, choosing clubs to represent a defective keyboard 2. Choose 5 cards with replacement and record how many are clubs 3. Repeat a large number of times (e.g., 4 outcomes x 10 = 40) and calculate the experimental probability
Citation preview
Unit 1 Review (4.1-4.5)MDM 4U
Mr. Lieff
Test Format 20 MC (4 per section) 15 Marks K/U 20 Marks APP (choice 3 of 5) 10 Marks TIPS (choice 2 of 3) 15% COMM (using formulas, good form,
rounding, concluding statements)
4.1 Intro to Simulations and Experimental Probability Design a simulation to model the probability of an
event Ex: design a simulation to determine the
experimental probability that more than one of 5 keyboards chosen in a class will be defective if we know that 25% are defective
1. Get a well-shuffled deck of cards, choosing clubs to represent a defective keyboard
2. Choose 5 cards with replacement and record how many are clubs
3. Repeat a large number of times (e.g., 4 outcomes x 10 = 40) and calculate the experimental probability
4.2 Theoretical Probability
Work with Venn diagrams ex: Create a Venn diagram illustrating the
sets of face cards and red cards S = 52red & face = 6
red = 20face = 6
4.2 Theoretical Probability
Calculate the probability of an event or its complement
Ex: What is the probability of randomly choosing a male from a class of 30 students if 10 are female?
P(A) = n(A) = 20 = 0.67 n(S) 30
4.2 Theoretical Probability Ex: Calculate the probability of not throwing a
total of four with 3 dice There are 63 = 216 possible outcomes with three
dice Only 3 outcomes produce a 4 P(sum = 4) = 3_
216 probability of not throwing a sum of 4 is:
1 – 3_ = 213 = 0.986 216 216
4.3 Finding Probability Using Sets
Recognize the different types of sets (union, intersection, complement)
Utilize the Additive Principle for the Union of Two Sets: n(A U B) = n(A) + n(B) – n(A ∩ B) P(A U B) = P(A) + P(B) – P(A ∩ B)
4.3 Finding Probability Using Sets
Ex: What is the probability of drawing a red card or a face card
Ans: P(A U B) = P(A) + P(B) – P(A ∩ B) P(red or face) = P(red) + P(face) – P(red and face) = 26/52 + 12/52 – 6/52
= 32/52 = 0.615
4.3 Finding Probability Using Sets
What is n(B υ C) 2+8+3+3+6+2+1+8+1 = 34 What is P(A∩B∩C)? n(A∩B∩C) = 3 = 0.07 n(S) 43
4.4 Conditional Probability 100 Students surveyed
Course Taken No. of students
English 80
Mathematics 33
French 68
English and Mathematics
30
French and Mathematics
6
English and French
50
All three courses 5
What is the probability that a student takes Mathematics given that he or she also takes English?
4.4 Conditional Probability
M
F
E
5
25
45
5
1
2
17
4.4 Conditional Probability
To answer the question in (b), we need to find P(Math|English).
We know... P(Math|English) = P(Math ∩ English)
P(English) Therefore…
P(Math|English) = 30 / 100 = 30 x 100 = 3
80 / 100 100 80 8
4.4 Conditional Probability
Calculate the probability of event B occurring, given that A has occurred Need P(B|A) and P(A)
Use the multiplicative law for conditional probability
Ex: What is the probability of drawing a jack and a queen in sequence, given no replacement?
P(1J ∩ 2Q) = P(2Q | 1J) x P(1J) = 4 x 4 = 16 = 0.006 51 52 2 652
4.5 Tree Diagrams and Outcome Tables
A sock drawer has a red, a green and a blue sock You pull out one sock, replace it and pull another out Draw a tree diagram representing the possible outcomes What is the probability of drawing 2 red socks? These are independent events
R
R
R
R
B
B
B
BG
G
G
G
91
31
31
)()()(
redPredPredandredP
4.5 Tree Diagrams and Outcome Tables Mr. Lieff is going fishing He finds that he catches fish 70% of the time
when the wind is out of the east He also finds that he catches fish 50% of the
time when the wind is out of the west If there is a 60% chance of a west wind
today, what are his chances of having fish for dinner?
We will start by creating a tree diagram
4.5 Tree Diagrams and Outcome Tables
west
east
fish dinner
fish dinner
bean dinner
bean dinner
0.6
0.4 0.7
0.3
0.5
0.5
P=0.3
P=0.3
P=0.28
P=0.12
4.5 Tree Diagrams and Outcome Tables P(east, catch) = P(east) x P(catch | east) = 0.4 x 0.7 = 0.28 P(west, catch) = P(west) x P(catch | west) = 0.6 x 0.5 = 0.30 Probability of a fish dinner: 0.28 + 0.3 = 0.58 So Mr. Lieff has a 58% chance of catching a
fish for dinner
Review
Read class notes and home learning Complete
pp. 268-269 #3-4, 5abceg, 7, 9, 10; p. 270 #1-3, 7 pp. 324-325 #1, 2; p. 326 #1