Models of Experimental Probability

Models of Experimental
Probability
H. Reardon
06 June 2016
ED 321M Demo Lesson
Do Now
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A table that measures 7 feet by
8 feet is located below an
indoor balcony. Drawn on the
table is a rectangle with sides
2 feet and 3 feet. Elsa drops a
coin from the balcony onto the
table without looking.
What is the probability the
coin will hit the table inside
the rectangle?
The probability of the coin hitting the
πŸ”
πŸ‘
Assume the coin will not fall
table inside the rectangle is = .
πŸ“πŸ” πŸπŸ–
The probability of the coin hitting the
off the table.
table inside the rectangle is .107.
There is a 10.7% probability that the coin
will hit the table inside the rectangle.
Experimental Probability
οƒ˜ Guiding question: Do the theoretical
rules of probability actually work?
οƒ˜ Marble bags
οƒ˜ In each bag, there are:
οƒ˜ 8 clear green marbles
οƒ˜ 10 frosted green marbles
οƒ˜ 5 clear blue marbles
οƒ˜ 10 frosted blue marbles
οƒ˜ 12 amber marbles
οƒ˜ 16 clear marbles
οƒ˜ 10 black marbles
οƒ˜ 9 silver marbles
οƒ˜ 20 white marbles
οƒ˜ Calculate the theoretical probability
of drawing each color. Record each
probability on your data sheet.
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20
Now…
οƒ˜ We’ll do an experiment!
οƒ˜ One person will draw marbles from
the bag. Another will record data.
Put the marble back after!
οƒ˜ After 20 draws, stop and calculate
the experimental probability of
drawing each color. Record this on
your data sheet.
PE =
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𝒕𝒐𝒕𝒂𝒍 π’π’–π’Žπ’ƒπ’†π’“ π’…π’“π’‚π’˜π’ 𝒐𝒇 𝒂 𝒄𝒐𝒍𝒐𝒓
𝒕𝒐𝒕𝒂𝒍 π’π’–π’Žπ’ƒπ’†π’“ 𝒐𝒇 π’…π’“π’‚π’˜π’”
οƒ˜ Repeat this procedure for 40, 60, 80,
and 100 trials.
οƒ˜ Use your data to answer the
questions that follow.
οƒ˜ If you finish, take a look at the
extension questions at the end.
οƒ˜ Ask if you need help!!
Discussion
What do you notice about the data?
οƒ Experimental probability is not always
perfectly equal to theoretical probability for an
event.
οƒ  As the total number of draws (trials) increases,
the experimental probability results will get
closer and closer to the theoretical probability
results. This is a form of:
The Law of Large Numbers
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