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Grade 9:  The Learning Equation Math

42.01 Using Probability to Make Decisions

4icon.gif (5323 bytes)

Chance and Uncertainty

Refresher pp 108-9

 

 

SeekAWord2ech.class Author

Prerequisite Skills:

 

 

Learning Outcomes:

The student will:

Experimental and Theoretical Probability for Coins

Experiment:  Toss a coin 20 times using the virtual coin provided. Does the experimental probability have to match the theoretical probability?

The theoretical probability of the event is the fraction:

# ways the event can occur
total possible outcomes
 

The experimental probability for equally likely events is the fraction:

# favourable outcomes
total outcomes
 
In the Experiment, the theoretical probability of the event that heads comes up is:
P(H) =

1/2

= 0.5 = 50%
P(T) = 1/2 = 0.5 = 50%

The experimental probability for equally likely events is the fraction:

# favourable outcomes
total outcomes

In the Experiment, if heads comes up 13 of 20 times, the experimental probability of the event that heads comes up is:

P(H) = 13/20

= 0.65 = 65%

 

 

 

 

Colour Spinner

The theoretical probability of the event is the fraction:

# ways the event can occur
total possible outcomes

The theoretical probability of red is 1/5 or 20%.

The experimental probability for red:

          # red         
total outcomes(spin)

Click the green button 100 times.  Does the experimental probability match the theoretical probability.

 

 

Experimental and Theoretical Probability for 2 Di

Click on the green button below. The total for the roll is a favorable outcome for the number rolled. Rolling dice produces data for experimental probability.

There are 36 possible outcomes each time two dice are thrown. Study the pattern of the animation below.

Virtual dice for generating experimental and theoretical probability data.

Experiment:  Toss the dice 100 times. If 12 comes up 10 times, what is the experimental probability?

The theoretical probability of the event is the fraction:

# ways the event can occur
total possible outcomes

The experimental probability for equally likely events is the fraction:

# favourable outcomes
total outcomes
Look at the chart above. The theoretical probability of the event that 12 comes up is:

P(12) = 1/36 = 0.028 = 2.8%

If  in this experiment, 12 is rolled 3 times, the experimental probability of the event that twelves comes up is:

P(12) = 3/100 = 0.03 = 3%

 

Other sites show the theoretical probability and or experimental probability of rolling particular numbers when two dice are rolled.

Probability:   What are Your Chances?

Site 1

 

 

The Monty Hall Problem

Suppose you're on a game show, and you're given the choice of three doors: Behind one door is the Grand Prize; behind the others, Booby Prizes. You pick a door, say Door A, and the host, who knows what is behind each door, opens another door, say Door B, revealing a Booby Prize. The host then offers you the opportunity to change your selection to Door C. Should you stick with your original choice or switch? Does it make any difference? (This is similar to the routine on the TV game show Let's Make a Deal, hosted by Monty Hall, hence the name of the problem.)

Assuming that the host always chooses to open a door with a Booby Prize, and would never reveal the Grand Prize, the possibly surprising answer is that you should switch to the third door, which is now twice as likely as your original choice to be hiding the Grand Prize. This problem can be analyzed using Bayes' theorem or trees (see "You're the Expert" at the end of Chapter 6 of Finite Mathematics Applied to the Real World), but here is an intuitive argument. When you chose Door A, the probability that you chose the Grand Prize was 1/3 and the probability that it was behind one of the other doors was 2/3. By showing you which of Doors B and C does not hide the Grand Prize (Door B, say), the host is giving you quite a bit of information about those two doors. The probability is still 2/3 that one of them hides the Grand Prize, but now you know which of the two it would be: Door C. So, the probability is still only 1/3 that the Grand Prize is behind Door A, but 2/3 that it is behind Door C.

If you find this result counterintuitive (and even most mathematicians do), try running the simulation below. Choose a door by clicking on it. The host (your computer) will then open one of the other doors, revealing a pig. You may then, by clicking on the appropriate door, choose to stick with your choice or switch to the remaining door. After a moment the doors will close to allow you to try again. Below the doors are shown two running calculations: the experimental probability that you will win if you stay with your original choice and the experimental probability that you will win if you switch. After many tries, will these numbers be close to 1/2, or will they be close to 1/3 and 2/3 respectively?

If your browser is Java-capable, press the Java button to run a simulation of the game show above.

freeware source:  Monty Hall Simulation

 

Similar Simulations

Monte Carlo

Monty Hall- individual trials

Monty Hall - multiple trials

The Let's Make a Deal Applet

Education, Mathematics, Fun, Monty Hall Dilemma

 

 

Ken White's Coin Flipping Page

Coin Flip - free coin-flipping javascript

 

Enrichment:

Statistical Calculator

 

 

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