Sampling for Tickets Probability Problem

HUDM4122
Probability and Statistical Inference
February 16, 2015
In the last class
We started Ch. 4.4  in Mendenhall, Beaver, &
Beaver
Today
Ch. 4.4-4.6  in Mendenhall, Beaver, & Beaver
Today
Sampling without Replacement
Permutations
Combinations
Independence
Conditional Probability
We ended last class with this problem
I call a radio station, where they make me pick a
number between 1 and 10
If I get today’s winning number, I get free tickets
to hear Justin Bieber (oh lucky me)
Let’s say I call 5 days in a row
What is the probability I get tickets on exactly one
day? (my daughter will still be excited)
Solution A (professor)
Solution B (class)
These represent two different
problems
One (my solution) is sampling without
replacement
The other is the sum of five independent
events
So which one is right?
Let’s first compute the sample space
I call a radio station, where they make me pick
a number between 1 and 10
I call 5 days in a row
10*10*10*10*10 = 100,000
Let’s first compute the sample space
I call a radio station, where they make me pick
a number between 1 and 10
I call 5 days in a row
10*10*10*10*10 = 100,000
A.K.A. too many to list out
Let’s first compute the sample space
I call a radio station, where they make me pick
a number between 1 and 10
I call 5 days in a row
10*10*10*10*10 = 100,000
A.K.A. too many to list out
Or is it?
bieber-tix-example.xlsx
 
bieber-tix-example.xlsx
0.32805
So, the professor was wrong
 
So, the professor was wrong
It turns out sleep deprivation 
is
 bad for
cognition
So, the professor was wrong
It turns out sleep deprivation 
is
 bad for
cognition
Don’t try this on your midterm
So why was this correct?
5 days to win 1 ticket
5 days
In each of 5 days,
1 answer where right
5 days
Correct answer
And 4 more days where wrong;
and there are 9 wrong answers
5 cases
Correct answer
Wrong answers
Wrong days
Each day is independent from other days –
that’s why this is the correct math
5 cases
Correct answer
Wrong answers
Wrong days
Questions? Comments?
 
The sample space for multi-stage data
collection can be calculated using
 The Extended 
mn 
rule
The Extended 
mn 
rule
Let’s say you have k stages of your data
collection
The Extended 
mn 
rule
Let’s say you have k stages of data collection
Unlike the book, I don’t call it an 
experiment
,
because that term is usually given a more specific
meaning by researchers
The Extended 
mn 
rule
Let’s say you have k stages of data collection
And there are n
1
 ways to accomplish the first
stage
And n
2
 ways to accomplish the 2
nd
 stage
And n
3
 ways to accomplish the 3
rd
 stage
And n
k
 ways to accomplish the k
th
 stage
Then the sample space = n
1 
* n
2 
* n
3 … 
* n
k
Any questions about the
Extended 
mn 
rule?
Let’s say you have k stages of data collection
And there are n
1
 ways to accomplish the first
stage
And n
2
 ways to accomplish the 2
nd
 stage
And n
3
 ways to accomplish the 3
rd
 stage
And n
k
 ways to accomplish the k
th
 stage
Then the sample space = n
1 
* n
2 
* n
3 … 
* n
k
Note that there doesn’t have to be the
same probability in each stage!
 
This can come in useful in cases that
are not truly independent
Unlike 
the Justin Bieber example
Independence
Two events A and B are 
independent 
if A does
not affect B and B does not affect A
Which of these are independent?
Which of these are independent?
Which of these are independent?
Which of these are independent?
Which of these are independent?
Which of these are independent?
Which of these are independent?
Which of these are independent?
Example of probability calculation with
non-independent events
Let’s say that I invite 6 friends over to play
Beer Hunter
This can come in useful in cases that
are not truly independent
Let’s say that 6 friends decide to play Beer
Hunter
Rules are
6 cans of beer
1 violently shaken before playing and then
shuffled
Each person chooses a can and opens it
Initial Sample Space = 6
1 Bad outcome
5 Perfectly fine outcomes
If you don’t like beer, imagine it’s root beer
Probability of bad outcome
The probability of a bad outcome for friend 1
is 1/6
Probability of bad outcome
The probability of a bad outcome for friend 1
is 1/6
But if friend 1 comes out OK
The probability of a bad outcome for friend 2
is 1/5, not 1/6!
Probability of bad outcome
The probability of a bad outcome for friend 1
is 1/6
But if friend 1 comes out OK
The probability of a bad outcome for friend 2
is 1/5, not 1/6!
Does everyone see why?
Probability of bad outcome
The probability of a bad outcome for friend 1
is 1/6
But if friend 1 comes out OK
The probability of a bad outcome for friend 2
is 1/5, not 1/6!
Does everyone see why?
Friend 1 already opened a beer can, and it went
ok
This only leaves 5 closed beer cans
Probability of bad outcome
If friend 2 comes out OK
The probability of a bad outcome for friend 3
is 1/4
Probability of bad outcome
If friend 2 comes out OK
The probability of a bad outcome for friend 3
is 1/4
If friend 3 comes out OK
The probability of a bad outcome for friend 4
is 1/3
Probability of bad outcome
If friend 4 comes out OK
The probability of a bad outcome for friend 5
is 1/2
Probability of bad outcome
If friend 4 comes out OK
The probability of a bad outcome for friend 5
is 1/2
If friend 5 comes out OK
Probability of bad outcome
If friend 4 comes out OK
The probability of a bad outcome for friend 5
is 1/2
If friend 5 comes out OK
Friend 6 will need to get a clean shirt
True sample space
6 *5 * 4 * 3 * 2 * 1
This is called 
sampling without replacement
Any questions?
 
Now you do an example
In pairs
Now you do an example
Let’s say I’m a roadie for the band Van Halen
Now you do an example
Let’s say I’m a roadie for the band Van Halen
Professors need to moonlight to make ends meet
in this city
Now you do an example
Let’s say I’m a roadie for the band Van Halen
They have a “no brown M&M’s” clause in their
contract, and if any of the four members get a
brown M&M, I’m fired
Now you do an example
Let’s say I’m a roadie for the band Van Halen
They have a “no brown M&M’s” clause in their
contract, and if any of the four members get a
brown M&M, I’m fired
I’ve just handed them a bowl with 20 M&Ms,
including one brown M&M
Each band member takes 1 M&M without
looking
Now you do an example
Let’s say I’m a roadie for the band Van Halen
They have a “no brown M&M’s” clause in their
contract, and if any of the four members get a
brown M&M, I’m fired
I’ve just handed them a bowl with 20 M&Ms,
including one brown M&M
Each band member takes 1 M&M without looking
What is the sample space?
What is the probability I get fired?
Questions? Comments?
 
Another example: permutations
An application of sampling without
replacement
How many orderings can you have between a
certain number of objects?
Example
Let’s say that I’m redecorating my office in
preparation for a visit from a funder from the US
army (“Bob”), a funder from the National Science
Foundation (“Janet”), and a funder from the US
Department of Education (“Ed”)
I want to place Bob’s book, Janet’s book, and Ed’s
book in a place of honor next to my desk
How many different orders can I put their books
in?
Example
The first book could be Bob’s, Janet’s, or Ed’s
If the first book is Bob’s, the second book can
only be Janet’s or Ed’s
If the first book is Bob’s, and the second book
is Janet’s, then the third book can only be Ed’s
We’re back to the same math of 3*2*1
Any questions?
 
Formal equations
The sample space for n stages, sampling
without replacement, is
n * (n-1) * (n-2) * (n-3) * (n-4) until (n-k)=1
This is written n!
Pronounced “n factorial”
Formal equations
The number of permutations for n objects,
taking all of them together, is
Still n!
n * (n-1) * (n-2) * (n-3) * (n-4) until (n-k)=1
Do it yourself
What is the number of permutations for 4
objects?
What is the number of permutations for 6
objects?
What is the number of permutations for 10
objects?
Do it yourself
What is the number of permutations for 4
objects?
4*3*2*1=24
What is the number of permutations for 6
objects?
6*5*4*3*2*1=720
What is the number of permutations for 10
objects?
10*9*8*7*6*5*4*3*2*1= 3,628,800
Ryan’s daughter suggests
“Daddy, why don’t we try organizing all the
books on your bookshelves in every possible
way?”
I own approximately 600 books
Is this a good idea?
Questions? Comments?
 
More general case
Using general case equation
If I want to find out how many orderings of 2
books I can get from 6 total books
n!/(n-r)!
6!/(6-2)!
6!/4!
720/24
30 possible orderings
Using general case equation
If I want to find out how many orderings of 4
books I can get from 6 total books
n!/(n-r)!
6!/(6-4)!
6!/2!
720/2
360 possible orderings
Any questions?
 
Related problem: Combinations
If we don’t care about order, but only want to
know how many combinations of items we
can get
Combination formula
Example
I have five friends, and three tickets to see
Ferrari Truck
How many combinations of friends could I
potentially bring?
Example
Example
I have 600 books, and want to take 3 books on
a ridiculously long flight to the First
Uzbekistani Conference on Educational Data
Mining
How many combinations of books could I
potentially bring?
Example
Your turn
Peter’s Pizzeria has 6 toppings, and a 2-
topping special
How many combinations of toppings could
you get, and have the special?
Questions?
 
An application
In my son’s play group, he has 6 playmates
5 friends and 1 frenemy
What is the probability that on a specific
playdate with 2 friends, it will involve the
frenemy?
Can be written as
Can be written as
Number of playdates that involve frenemy = 5
Frenemy plus each of 5 friends
Total number of combinations (2 of 6) = 15
5/15 = 1/3
Any questions?
 
Conditional Probability
Let’s take two non-independent events, A and
B
P(A | B) =
Probability of A,
Given that we know that B occurred
Conditional Probability
Let’s take two non-independent events, A and B
P(A | B) =
Probability of A,
Given that we know that B occurred
Note that this tells us 
nothing 
about
 
P(A | ~B)
 
P(A) overall
General Multiplication Rule
Probability of A and B equals
Probability of A
Multiplied by
Probability of B, given A
General Multiplication Rule
Example
Example
You try it
You try it
You try it
You try it
A Concrete Example
P(Bob parties late, night before exam) = 0.5
P(Bob does badly on exam | parties late) = 0.7
P(Bob does badly on exam | ~parties late) = 0.2
What is the probability that Bob parties late and
does badly?
A Concrete Example
P(Bob parties late, night before exam) = 0.5
P(Bob does badly on exam | parties late) = 0.7
P(Bob does badly on exam | ~parties late) = 0.2
What is the probability that Bob parties late and
does badly?
0.35
Conditional Probability Formula
Conditional Probability Formula
Conditional Probability Formula
Conditional Probability Formula
Example
Example
You try it
You try it
What if we want to determine
What if we want to determine
Upcoming Classes
2/18 Bayes Theorem
Ch. 4-7
HW3 due
2/23 Discrete Random Variables and Their
Probability Distributions
Ch. 4-8
Homework 3
Due in 2 days
In the ASSISTments system
Questions? Comments?
 
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The content covers a probability problem involving sampling without replacement to win tickets to a Justin Bieber concert. The solution is computed for the probability of winning tickets on exactly one day out of five. It discusses the distinction between two different problems - one involving sampling without replacement and the other the sum of five independent events.

  • Probability
  • Sampling
  • Tickets
  • Justin Bieber
  • Independent Events

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Presentation Transcript


  1. HUDM4122 Probability and Statistical Inference February 16, 2015

  2. In the last class We started Ch. 4.4 in Mendenhall, Beaver, & Beaver

  3. Today Ch. 4.4-4.6 in Mendenhall, Beaver, & Beaver

  4. Today Sampling without Replacement Permutations Combinations Independence Conditional Probability

  5. We ended last class with this problem I call a radio station, where they make me pick a number between 1 and 10 If I get today s winning number, I get free tickets to hear Justin Bieber (oh lucky me) Let s say I call 5 days in a row What is the probability I get tickets on exactly one day? (my daughter will still be excited)

  6. Solution A (professor) 1 1 9 1 9 9 10+ + 10 10 10 9 10 9 10 10 10 1 9 9 + 10 1 10 10 9 10 10 9 10 9 + 10 = 0.40951

  7. Solution B (class) 1 (9 10)4 5 10 = 0.32805

  8. These represent two different problems One (my solution) is sampling without replacement The other is the sum of five independent events So which one is right?

  9. Lets first compute the sample space I call a radio station, where they make me pick a number between 1 and 10 I call 5 days in a row 10*10*10*10*10 = 100,000

  10. Lets first compute the sample space I call a radio station, where they make me pick a number between 1 and 10 I call 5 days in a row 10*10*10*10*10 = 100,000 A.K.A. too many to list out

  11. Lets first compute the sample space I call a radio station, where they make me pick a number between 1 and 10 I call 5 days in a row 10*10*10*10*10 = 100,000 A.K.A. too many to list out Or is it?

  12. bieber-tix-example.xlsx

  13. bieber-tix-example.xlsx 0.32805

  14. So, the professor was wrong

  15. So, the professor was wrong It turns out sleep deprivation is bad for cognition

  16. So, the professor was wrong It turns out sleep deprivation is bad for cognition Don t try this on your midterm

  17. So why was this correct? 1 (9 10)4 5 10

  18. 5 days to win 1 ticket 1 (9 10)4 5 10 5 days CXXXX XCXXX XXCXX XXXCX XXXXC

  19. In each of 5 days, 1 answer where right 1 (9 10)4 5 10 5 days Correct answer

  20. And 4 more days where wrong; and there are 9 wrong answers Wrong days 1 (9 10)4 5 10 5 cases Correct answer Wrong answers

  21. Each day is independent from other days that s why this is the correct math Wrong days 1 (9 10)4 5 10 5 cases Correct answer Wrong answers

  22. Questions? Comments?

  23. The sample space for multi-stage data collection can be calculated using The Extended mn rule

  24. The Extended mn rule Let s say you have k stages of your data collection

  25. The Extended mn rule Let s say you have k stages of data collection Unlike the book, I don t call it an experiment, because that term is usually given a more specific meaning by researchers

  26. The Extended mn rule Let s say you have k stages of data collection And there are n1 ways to accomplish the first stage And n2 ways to accomplish the 2nd stage And n3 ways to accomplish the 3rd stage And nk ways to accomplish the kth stage Then the sample space = n1 * n2 * n3 * nk

  27. Any questions about the Extended mn rule? Let s say you have k stages of data collection And there are n1 ways to accomplish the first stage And n2 ways to accomplish the 2nd stage And n3 ways to accomplish the 3rd stage And nk ways to accomplish the kth stage Then the sample space = n1 * n2 * n3 * nk

  28. Note that there doesnt have to be the same probability in each stage!

  29. This can come in useful in cases that are not truly independent Unlike the Justin Bieber example

  30. Independence Two events A and B are independent if A does not affect B and B does not affect A

  31. Which of these are independent? A B Flipping a fair coin Flipping same fair coin again

  32. Which of these are independent? A B Flipping a fair coin Flipping a biased coin Flipping same fair coin again Flipping same biased coin again

  33. Which of these are independent? A B Flipping a fair coin Flipping a biased coin Bob parties late night before midterm Flipping same fair coin again Flipping same biased coin again Bob falls asleep during midterm

  34. Which of these are independent? A B Flipping a fair coin Flipping a biased coin Bob parties late night before midterm Bob s grade on midterm Flipping same fair coin again Flipping same biased coin again Bob falls asleep during midterm Bob s grade on final

  35. Which of these are independent? A B Flipping a fair coin Flipping a biased coin Bob parties late night before midterm Bob s grade on midterm Bob disrupts class Flipping same fair coin again Flipping same biased coin again Bob falls asleep during midterm Bob s grade on final Bob gets expelled

  36. Which of these are independent? A B Flipping a fair coin Flipping a biased coin Bob parties late night before midterm Bob s grade on midterm Bob disrupts class Bob gets expelled Flipping same fair coin again Flipping same biased coin again Bob falls asleep during midterm Bob s grade on final Bob gets expelled Bob takes job at McDonald s

  37. Which of these are independent? A B Flipping a fair coin Flipping a biased coin Bob parties late night before midterm Bob s grade on midterm Bob disrupts class Bob gets expelled Bob takes job at McDonald s Flipping same fair coin again Flipping same biased coin again Bob falls asleep during midterm Bob s grade on final Bob gets expelled Bob takes job at McDonald s Bob wins lottery

  38. Which of these are independent? A B Flipping a fair coin Flipping a biased coin Bob parties late night before midterm Bob s grade on midterm Bob disrupts class Bob gets expelled Bob takes job at McDonald s Bob wins lottery Flipping same fair coin again Flipping same biased coin again Bob falls asleep during midterm Bob s grade on final Bob gets expelled Bob takes job at McDonald s Bob wins lottery Bob becomes ill due to congenital heart problem

  39. Example of probability calculation with non-independent events Let s say that I invite 6 friends over to play Beer Hunter

  40. This can come in useful in cases that are not truly independent Let s say that 6 friends decide to play Beer Hunter Rules are 6 cans of beer 1 violently shaken before playing and then shuffled Each person chooses a can and opens it

  41. Initial Sample Space = 6 1 Bad outcome 5 Perfectly fine outcomes If you don t like beer, imagine it s root beer

  42. Probability of bad outcome The probability of a bad outcome for friend 1 is 1/6

  43. Probability of bad outcome The probability of a bad outcome for friend 1 is 1/6 But if friend 1 comes out OK The probability of a bad outcome for friend 2 is 1/5, not 1/6!

  44. Probability of bad outcome The probability of a bad outcome for friend 1 is 1/6 But if friend 1 comes out OK The probability of a bad outcome for friend 2 is 1/5, not 1/6! Does everyone see why?

  45. Probability of bad outcome The probability of a bad outcome for friend 1 is 1/6 But if friend 1 comes out OK The probability of a bad outcome for friend 2 is 1/5, not 1/6! Does everyone see why? Friend 1 already opened a beer can, and it went ok This only leaves 5 closed beer cans

  46. Probability of bad outcome If friend 2 comes out OK The probability of a bad outcome for friend 3 is 1/4

  47. Probability of bad outcome If friend 2 comes out OK The probability of a bad outcome for friend 3 is 1/4 If friend 3 comes out OK The probability of a bad outcome for friend 4 is 1/3

  48. Probability of bad outcome If friend 4 comes out OK The probability of a bad outcome for friend 5 is 1/2

  49. Probability of bad outcome If friend 4 comes out OK The probability of a bad outcome for friend 5 is 1/2 If friend 5 comes out OK

  50. Probability of bad outcome If friend 4 comes out OK The probability of a bad outcome for friend 5 is 1/2 If friend 5 comes out OK Friend 6 will need to get a clean shirt

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