Date post: | 24-Dec-2015 |
Category: |
Documents |
Upload: | dwayne-pierce |
View: | 213 times |
Download: | 0 times |
Warm up:
Solve each system (any method)
W-up 11/4• 1) Cars are being produced by two factories, factory 1
produces twice as many cars (better management) than factory 2 in a given time. Factory 1 is know to produce 2% defectives and factory 2 produces 1% defectives. A car is examined and found to be defective, what is the probability it was produced by factory 1?
• 2. evaluate b(7,4;.20)
• 3. A fair coin is tossed 8 times, what is the probability of obtaining at least 6 heads?
Answers: 1. 80% 2. 2.87% 3. 14.45%
8.3 EXPECTED VALUESWBAT compute expected values in addition to solving application problems involving expected value.
Consider a coin flipping game: If heads shows, you lose
$1. If tails shows, you win $2.• Let E be our expected value.
• Where ½ is the probability of getting Heads or Tails
*So you expect to win an average of $.50 on each play.
Expected Value:• S = Sample Space
• is assigned payoff .• The Expected Value E corresponding to the payoffs is:
Steps to compute E:• Partition “S” into the “A” events.• Determine the probability of each event (Sum of
probabilities should = 1).• Assign payoff values “m”.• Calculate.
Compute the expected value:Outcome
Probability 1/3 1/6 1/4 1/4
Payoff 1 0 4 -2
• SS: {}• Probability: Given• Payoff: Given
• = $.83
A player rolls a die and receives the # of $ = to the # of dots on the die. What is the expected value to play?Roll #1 #2 #3 #4 #5 #6
Probability 1/6 1/6 1/6 1/6 1/6 1/6
Payoff $1 $2 $3 $4 $5 $6
If E = 0 then the “game” is fair
A lab contains 10 microscopes, 2 are defective. If 4 are chosen what is the Expected value of Defective?
Probabilities of 0,1, or 2 defectives:
Assign payoffs of 0 (no defective)1,2 since we are determining the expected #:
• Talk about the answer. • Can’t have 4/5 of a microscope?• We can interpret this to mean that in the long run, we will
average “just under 1 defective microscope”
Expected Value of Bernoulli Trials:• With “n” trials the expected # of successes is:
E=np
*Where “p” is the probability of successes on any single trial.
MC Test contains 100 questions each w/ 4 choices. What is the expected # of correct guesses?• Answer: 25
• So using Bernoulli to explain:
HW WS: 8.3; #s 1-17odd,21, 25, 27