Key
The 1st Hourly
Math 1107
Summer Term 2007
Protocol
You will use only the
following resources: Your individual calculator; individual tool-sheet (single
8.5 by 11 inch sheet); your writing utensils; blank paper (provided by me) and
this copy of the hourly. Do not share these resources with anyone else.
In each case, show complete
detail and work for full credit. Follow case study solutions and sample hourly
keys in presenting your solutions. Work all six cases. Using only one side of
the blank sheets provided, present your work. Do not write on both sides of the
sheets provided, and present your work only on these sheets. All of your work
goes on one side each of the blank sheets provided. Space out your work. Do not
share information with any other students during this hourly. Sign and
Acknowledge:
I agree to follow this
protocol.
______________________________________________________________________________________
Name (PRINTED)
Signature Date
Case One
Pair of Dice
Random Variable
25 Points Maximum
We have a pair of dice – a fair d3
{faces 1, 3, 5} and a loaded d4 {faces 2, 4, 6, 7} – note the probability
model for the d4 below.
Face |
Probability |
2 |
0.10 |
4 |
0.20 |
6 |
0.30 |
7 |
0.40 |
Total |
1.00 |
We assume that the dice operate separately and
independently of each other. Suppose that our experiment consists of tossing
the dice, and noting the resulting face-pair.
1. List the possible pairs of face values,
and compute a probability for each pair of face values.
15 Points Maximum
(d4,d3) |
2 |
4 |
6 |
7 |
1 |
(2,1) |
(4,1) |
(6,1) |
(7,1) |
3 |
(2,3) |
(4,3) |
(6,3) |
(7,3) |
5 |
(2,5) |
(4,5) |
(6,5) |
(7,5) |
The pairs are: (2,1), (4,1), (6,1), (7,1),
(2,3), (4,3), (6,3), (7,3), (2,5), (4,5), (6,5) and (7,5).
Pr{(2,1)} = Pr{2 from d4}*Pr{1 from d3} =
(1/10)*(1/3) = 1/30
Pr{(2,3)} = Pr{2 from d4}*Pr{3 from d3} =
(1/10)*(1/3) = 1/30
Pr{(2,5)} = Pr{2 from d4}*Pr{5 from d3} =
(1/10)*(1/3) = 1/30 [subtotal = 3/30]
Pr{(4,1)} =
Pr{4 from d4}*Pr{1 from d3} = (2/10)*(1/3) = 2/30
Pr{(4,3)} =
Pr{4 from d4}*Pr{3 from d3} = (2/10)*(1/3) = 2/30
Pr{(4,5)} =
Pr{4 from d4}*Pr{5 from d3} = (2/10)*(1/3) = 2/30 [subtotal = 6/30]
Pr{(6,1)} =
Pr{6 from d4}*Pr{1 from d3} = (3/10)*(1/3) = 3/30
Pr{(6,3)} =
Pr{6 from d4}*Pr{3 from d3} = (3/10)*(1/3) = 3/30
Pr{(6,5)} =
Pr{6 from d4}*Pr{5 from d3} = (3/10)*(1/3) = 3/30 [subtotal = 9/30]
Pr{(7,1)} =
Pr{7 from d4}*Pr{1 from d3} = (1/10)*(1/3) = 4/30
Pr{(7,3)} =
Pr{7 from d4}*Pr{3 from d3} = (1/10)*(1/3) = 4/30
Pr{(7,5)} =
Pr{7 from d4}*Pr{5 from d3} = (1/10)*(1/3) = 4/30 [subtotal = 12/30]
Check:
(3/30)+(6/30)+(9/30)+(12/30) = (3+6+9+12)/30 = 30/30 = 1
2. When both faces in the pair are odd,
define THING as the product of the face values in the pair. When exactly one
face in the pair is odd, define THING as the sum of the face values in the
pair. Compute and list the possible values for the variable THING, and compute
a probability for each value of THING.
10 Points Maximum
(d4,d3) |
2 |
4 |
6 |
7 |
1 |
(2,1) One Odd Face: THING = (2+1) = 3 |
(4,1) One Odd Face: THING = (4+1) = 5 |
(6,1) One Odd Face: THING = (6+1) = 7 |
(7,1) Both Faces Odd: THING = 7*1=7 |
3 |
(2,3) One Odd Face: THING = (2+3) = 5 |
(4,3) One Odd Face: THING = (4+3) = 7 |
(6,3) One Odd Face: THING = (6+3) = 9 |
(7,3) Both Faces Odd: THING = 7*3=21 |
5 |
(2,5) One Odd Face: THING = (2+5) = 7 |
(4,5) One Odd Face: THING = (4+5) = 9 |
(6,5) One Odd Face: THING = (6+5) = 11 |
(7,5) Both Faces Odd: THING = 7*5=35 |
The pairs are: (2,1), (4,1), (6,1), (7,1),
(2,3), (4,3), (6,3), (7,3), (2,5), (4,5), (6,5) and (7,5).
THING{(2,1)} = 2
+ 1 = 3
THING{(2,3)} = 2
+ 3 = 5
THING{(2,5)} = 2
+ 5 = 7
THING{(4,1)} = 4
+ 1 = 5
THING{(4,3)} = 4
+ 3 = 7
THING{(4,5)} = 4
+ 5 = 9
THING{(6,1)} = 6
+ 1 = 7
THING{(6,3)} = 6
+ 3 = 9
THING{(6,5)} = 6
+ 5 = 11
THING{(7,1)} = 7*1
= 7
THING{(7,3)} = 7*3
= 21
THING{(7,5)} = 7*5
= 35
Pr{THING=3} =
Pr{(2,1)} = 1/30
Pr{THING=5} =
Pr{One of (2,3), (4,1) Shows} = Pr{(2,3)} + Pr{(4,1)} = (1/30) + (2/30) = 3/30
Pr{THING=7} =
Pr{One of (2,5), (4,3), (6,1), (7,1) Shows} = Pr{(2,5)} + Pr{(4,3)} + Pr{(6,1)}
+ Pr{(7,1)} = (1/30) + (2/30) + (3/30) + (4/30) = 10/30
Pr{THING=9} =
Pr{One of (4,5), (6,3) Shows} = Pr{(4,5)} + Pr{(6,3)} = (2/30) + (3/30) = 5/30
Pr{THING=11} =
Pr{(6,5)} = 3/30
Pr{THING=21} =
Pr{(7,3)} = 4/30
Pr{THING=35} =
Pr{(7,5)} = 4/30
Check: (1/30) +
(3/30) + (10/30) + (5/30) + (3/30) + (4/30) + (4/30) = (1+3+10+5+3+4+4)/30 =
30/30 = 1
Show all work and full detail for full
credit.
Case Two
Color Slot Machine
Conditional Probabilities
25 Points Maximum
Here is our slot machine – on each trial,
it produces a six color sequence, using the table below:
Sequence* |
Probability |
BGBYYG |
0.10 |
GBBRRG |
0.15 |
YRBGGR |
0.11 |
YRGGBB |
0.35 |
YBYYRR |
0.23 |
BBYYRY |
0.05 |
BBBBBY |
0.01 |
Total |
1.00 |
*B-Blue, G-Green, R-Red, Y-Yellow, Sequence is numbered as 1st
to 6th , from left to right: (1st 2nd 3rd
4th 5th6th )
Compute the
following conditional probabilities.
1. Pr{“BB”
Shows | Yellow Shows}
9 Points Maximum
Sequence* |
Probability |
BGBYYG |
0.10 |
YRBGGR |
0.11 |
YRGGBB |
0.35 |
YBYYRR |
0.23 |
BBYYRY |
0.05 |
BBBBBY |
0.01 |
Total |
0.85 |
Pr{Yellow Shows} = Pr{One of BGBYYG,
YRBGGR, YRGGBB, YBYYRR, BBYYRY, BBBBBY Shows} =
Pr{BGBYYG} + Pr{YRBGGR + Pr{YRGGBB +
Pr{YBYYRR + Pr{BBYYRY + Pr{BBBBBY} =
0.10 + 0.11 + 0.35 + 0.23 + 0.05 + 0.01 =
0.21 + 0.58 + 0.06 = 0.79 + 0.06 = .85
Sequence* |
Probability |
YRGGBB |
0.35 |
BBYYRY |
0.05 |
BBBBBY |
0.01 |
Total |
0.41 |
Pr{“BB” and Yellow Show} = Pr{One of
YRGGBB, BBYYRY, BBBBBY Shows} =
Pr{YRGGBB} + Pr{BBYYRY} + Pr{BBBBBY} = 0.35
+ 0.05 + 0.01 = 0.41
Pr{“BB” Shows | Yellow Shows} = Pr{“BB” and
Yellow Show}/ Pr{Yellow Shows} = 0.41/0.85
2. Pr{Yellow
Shows | “BR” Shows }
8 Points Maximum
Sequence* |
Probability |
GBBRRG |
0.15 |
Total |
0.15 |
Pr{“BR”
Shows} = Pr{GBBRRG} = 0.15
Sequence* |
Probability |
Total |
0 |
Pr{Yellow and “BR” Show} = Pr{No Events
Qualify} = 0
Pr{Yellow Shows | “BR” Shows } = Pr{Yellow and “BR” Show}/ Pr{ “BR” Shows} =
0/0.15 = 0
3. Pr{Green
Shows | Red Shows}
8 Points Maximum
Sequence* |
Probability |
GBBRRG |
0.15 |
YRBGGR |
0.11 |
YRGGBB |
0.35 |
YBYYRR |
0.23 |
BBYYRY |
0.05 |
Total |
0.89 |
Pr{Red Shows} = Pr{One of GBBRRG, YRBGGR,
YRGGBB, YBYYRR, BBYYRY Shows} =
Pr{GBBRRG} + Pr{YRBGGR} + Pr{YRGGBB} +
Pr{YBYYRR} + Pr{BBYYRY} =
0.15 + 0.11 + 0.35 + 0.23 + 0.05 = 0.26 +
0.58 + 0.05 = 0.84 + 0.05 = 0.89
Sequence* |
Probability |
GBBRRG |
0.15 |
YRBGGR |
0.11 |
YRGGBB |
0.35 |
Total |
0.61 |
Pr{Green and Red Show} = Pr{One of GBBRRG,
YRBGGR, YRGGBB Shows} =
Pr{GBBRRG} + Pr{YRBGGR} + Pr{YRGGBB} = 0.15
+ 0.11 + 0.35 = 0.26 + 0.35 = 0.61
Pr{Green Shows | Red Shows} = Pr{Green and
Red Show} / Pr{Red Shows} = 0.61/0.89
Show all work and full detail for full
credit.
Case Three
Long Run Argument and Perfect Samples
Traumatic Brain Injury (TBI) and Glasgow Coma Scale
(GCS)
25 Points Maximum
Traumatic brain injury (TBI) is an insult to the brain from an external mechanical
force, possibly leading to permanent or temporary impairments of cognitive,
physical, and psychosocial functions with an associated diminished or altered
state of consciousness. The Glasgow Coma
Scale (GCS) is the most widely used system for scoring the level of consciousness
of a patient who has had a traumatic brain injury. GCS is based on the
patient's best eye-opening, verbal, and motor responses. Each response is
scored and then the sum of the three scores is computed. The total score varies
from 3 to 15. The GCS categories are Mild
(for GCS scores between 13 and 15), Moderate
(for GCS scores between 9 and 12) and Severe
(for GCS scores between 3 and 8). It is not unusual for people to die with TBI
before they can be treated or evaluated. We can augment the GCS categories by
adding a PAD (Pre-admission Death,
TBI Noted) category. Suppose that the probabilities tabled below apply to TBI
cases:
TBI
Severity |
Probability |
Mild |
0.10 |
Moderate |
0.15 |
Severe |
0.60 |
PAD |
0.15 |
Total |
1.00 |
1. Interpret
each probability using the Long Run Argument.
10 Points Maximum
In long runs of sampling with replacement,
approximately 10% of sampled TBI cases are mild.
In long runs of sampling with replacement,
approximately 15% of sampled TBI cases are moderate.
In long runs of sampling with replacement,
approximately 60% of sampled TBI cases are severe.
In long runs of sampling with replacement,
approximately 15% of sampled TBI cases are pre-admission deaths(PAD).
2. Compute
and discuss Perfect Samples for n=1200.
15 Points Maximum
9 Points Maximum
EMild = 1200*PMild =
1200*0.10 = 120
EModerate = 1200*PModerate
= 1200*0.15 = 180
ESevere = 1200*PSevere
= 1200*0.60 = 720
EPAD = 1200*PPAD =
1200*0.15 = 180
Check: EMild + EModerate
+ ESevere + EPAD = 120 + 180 + 720 +180 =300 + 900 = 1200
6 Points Maximum
Random samples of TBI cases of size 1200
yield approximately 120 mild cases.
Random samples of TBI cases of size 1200
yield approximately 180 moderate cases.
Random samples of TBI cases of size 1200
yield approximately 720 severe cases.
Random samples of TBI cases of size 1200
yield approximately 180 PAD cases.
Show all work and full detail for full
credit. Provide complete discussion for full credit.
Case Four
Color Slot Machine
Probability Rules
25 Points Maximum
Here is our slot machine – on each trial,
it produces a six color sequence, using the table below:
Sequence* |
Probability |
BGBYYG |
0.10 |
GBBRRG |
0.15 |
YRBGGR |
0.11 |
YRGGBB |
0.35 |
YBYYRR |
0.23 |
BBYYRY |
0.05 |
BBBBBY |
0.01 |
Total |
1.00 |
*B-Blue, G-Green, R-Red, Y-Yellow, Sequence is numbered as 1st
to 6th , from left to right: (1st 2nd 3rd
4th 5th6th )
Compute the
following conditional probabilities.
1. Pr{“BY”
Shows }
9 Points Maximum
Sequence* |
Probability |
BGBYYG |
0.10 |
YBYYRR |
0.23 |
BBYYRY |
0.05 |
BBBBBY |
0.01 |
Total |
0.39 |
Pr{“BY” Shows } = Pr{One of BGBYYG, YBYYRR,
BBYYRY, BBBBBY Shows} =
Pr{BGBYYG} + Pr{YBYYRR} + Pr{BBYYRY} +
Pr{BBBBBY} = 0.10 + 0.23 + 0.05 + 0.01 = 0.33 + 0.06 = 0.39
2. Pr{ Green
Shows 4th }
8 Points Maximum
Sequence* |
Probability |
YRBGGR |
0.11 |
YRGGBB |
0.35 |
Total |
0.46 |
Pr{Green Shows 4th} = Pr{One of YRBGGR,
YRGGBB Shows} =
Pr{YRBGGR} + Pr{YRGGBB} = 0.11 + 0.35 =
0.46
3. Pr{
Yellow Shows } – Use the Complementary Rule
8 Points Maximum
Failure to Use CR: 6 points off
Sequence* |
Probability |
GBBRRG |
0.15 |
Total |
0.15 |
Other Event = “Yellow does not Show”
Pr{Yellow does not Show} = Pr{GBBRRG} =
0.15
Pr{Yellow Shows} = 1 – Pr{Yellow does not
Show} = 1 – 0.15 = 0.85
Check:
Sequence* |
Probability |
BGBYYG |
0.10 |
YRBGGR |
0.11 |
YRGGBB |
0.35 |
YBYYRR |
0.23 |
BBYYRY |
0.05 |
BBBBBY |
0.01 |
Total |
0.85 |
Pr{Yellow Shows} = Pr{One of BGBYYG,
YRBGGR, YRGGBB, YBYYRR, BBYYRY, BBBBBY Shows} =
Pr{BGBYYG} + Pr{YRBGGR} + Pr{YRGGBB} +
Pr{YBYYRR} + Pr{BBYYRY} + Pr{BBBBBY} =
0.10 + 0.11 + 0.35 + 0.23 + 0.05 + 0.01 =
0.21 + 0.58 + 0.06 = 0.79 + 0.06 = 0.85
Show all work and full detail for full
credit.
Case Five
Design Fault Spot
25 Points Maximum