Key | The Comprehensive Final Examination | Math 1107 | Summer 2010 | CJ Alverson

 

Protocol

 

You will use only the following resources: Your individual calculator; Your individual tool-sheets (two (2) 8.5 by 11 inch sheets); Your writing utensils; Blank Paper (provided by me); This copy of the hourly and

the tables provided by me. Do not share these resources with anyone else.

 

Show complete detail and work for full credit.

 

Follow case study solutions and sample hourly keys in presenting your solutions. Work all four 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.

 

When you’re done: Print your name on a blank sheet of paper. Place your toolsheet, test and work under this sheet, and turn it all in to me.

 

Do not share information with any other students during this test.

 

Sign and Acknowledge: 

 

I agree to follow this protocol. Initial: ______

 

______________________________________________________________________________________

Name (PRINTED)                                          Signature                                          Date

 

Case One | Probability Computation | Color Slot Machine

 

Here is our slot machine – on each trial, it produces a color sequence, using the table below:

 

Sequence*

Probability

RRYRRR

.20

BBYYBR

.15

GRRGGY

.10

YGYRYG

.25

YYRGBY

.10

YYYYRG

.20

Total

1.00

 

*B-Blue, G-Green, R-Red, Y-Yellow, Sequence is numbered from left to right. In each of the following, show your intermediate steps and work.

 

a) Define the random variable YC as the number of times that yellow shows in the color sequence. List the values of YC, and compute the probabilities for those values.

 

Sequence*

YC

Probability

RRYRRR

1

.20

BBYYBR

2

.15

GRRGGY

1

.10

YGYRYG

3

.25

YYRGBY

3

.10

YYYYRG

4

.20

Total

 

1.00

 

Pr{YC=1} = Pr{RRYRRR or GRRGGY shows} = Pr{RRYRRR} + Pr{GRRGGY} = 0.20 + 0.10 = 0.30

Pr{YC=2} = Pr{BBYYBR} = 0.15

Pr{YC=3} = Pr{YGYRYG or YYRGBY shows} = Pr{YGYRYG} + Pr{YYRGBY} = 0.25 + 0.10 = 0.35

Pr{YC=4} = Pr{YYYYRG} = 0.20  

 

b) Pr{“RY” Shows}  

 

Sequence*

“RY”

Probability

RRYRRR

Yes

.20

BBYYBR

No

.15

GRRGGY

No

.10

YGYRYG

Yes

.25

YYRGBY

No

.10

YYYYRG

No

.20

Total

 

1.00

 

 

Pr{One of  RRYRRR or YGYRYG shows} = Pr{RRYRRR} + Pr{YGYRYG} = 0.20 + 0.25 = 0.45 

 

c) Pr{Green Shows} – Use the Complementary Rule. 

 

Other Event  = “Green Does Not Show”

Sequence*

“Green Does Not Show”

Probability

RRYRRR

Yes

.20

BBYYBR

Yes

.15

GRRGGY

No

.10

YGYRYG

No

.25

YYRGBY

No

.10

YYYYRG

No

.20

Total

 

1.00

 

Pr{“Green Does Not Show”} = Pr{RRYRRR or BBYYBR shows} = Pr{RRYRRR} + Pr{BBYYBR} = 0.20 + 0.15 = 0.35

Pr{“Green Shows”} = 1 – Pr{“Green Does Not Show”} = 1 – 0.35 = 0.65

Case Two | Descriptive Statistics | Traumatic Brain Injury

Traumatic Brain Injury (TBI) involves the injury of the brain when it involves sudden or intense physical force resulting in the presence of Concussion, Skull Fracture, or Bleeding and Tissue Damage (Contusions, Lacerations, Hemorrhaging) involving the brain.

Effects-of-TBI1

tbi__big

brain

A random sample of TBI cases is acquired, and the age at injury (in years) of the case is determined. The sample ages at injury are listed below:

4, 5, 5, 6, 6, 7, 7, 8, 9, 12, 12, 13, 14, 15, 15, 16, 18, 18, 18, 19, 19, 20, 20, 20, 20, 21, 21, 22, 23, 25, 27, 27, 30, 30, 30, 31, 32, 32, 33, 35, 35, 36, 36, 37, 37, 38, 38, 39, 39, 40, 41, 41, 41, 42, 42, 45, 47, 50, 52, 60,63, 65, 70, 70, 71, 71, 71, 71, 72, 72,  72, 73, 73, 74, 74, 75, 75, 76, 76, 76, 77, 79, 80, 81, 89, 90, 91

Compute and interpret the following statistics: sample size, p00, p25, p50, p75, p100, (p100 – p50),

(p75 – p25), (p50 – p00). Show complete detail and work for full credit. Follow case study solutions and sample hourly keys in presenting your solutions.

 

                                      100% Max            91

                                      75% Q3              71

                                      50% Median          37

                                      25% Q1              20

                                      0% Min               4


 

n    p00    p25    p50    p75    p100    Range42    Range31    Range20

87     4      20     37     71     91        54         51         33

 

range42 = p100 – p50 = 91 – 37 = 54

range31 = p75 – p25 = 71 – 20 = 51

range20 = p50 – p00 = 37 – 4 = 33

 

There are 87 Traumatic Brain Injury (TBI) cases in our sample.

The TBI case in our sample with the earliest TBI injury was injured at 4 years of age.

Approximately 25% of the TBI cases in our sample were injured at 20 years of age or younger.

Approximately 50% of the TBI cases in our sample were injured at 37 years of age or younger.

Approximately 75% of the TBI cases in our sample were injured at 71 years of age or younger.

The TBI case in our sample with the latest TBI injury was injured at 91 years of age.

 

Approximately 50% of the TBI cases in our sample were injured between 4 and 37 years of age. The largest difference in age at injury between any pair of TBI cases in this lower half sample is 33 years.

 

Approximately 50% of the TBI cases in our sample were injured between 20 and 71 years of age. The largest difference in age at injury between any pair of TBI cases in this middle half sample is 51 years.

 

Approximately 50% of the TBI cases in our sample were injured between 37 and 91 years of age. The largest difference in age at injury between any pair of TBI cases in this upper half sample is 54 years.

 

Case Three | Clinical Trial Sketch | Traumatic Brain Injury, Prevention of Post-TBI Epilepsy

 

Epilepsy is a brain disorder in which clusters of nerve cells, or neurons, in the brain sometimes signal abnormally. In epilepsy, the normal pattern of neuronal activity becomes disturbed, causing strange sensations, emotions, and behavior or sometimes convulsions, muscle spasms, and loss of consciousness. Epilepsy is a disorder with many possible causes. Anything that disturbs the normal pattern of neuron activity - from illness to brain damage to abnormal brain development - can lead to seizures. Epilepsy may develop because of an abnormality in brain wiring, an imbalance of nerve signaling chemicals called neurotransmitters, or some combination of these factors. Having a seizure does not necessarily mean that a person has epilepsy. Only when a person has had two or more seizures is he or she considered to have epilepsy. EEGs and brain scans are common diagnostic test for epilepsy. Traumatic brain injury (TBI) causes epilepsy in up to 30% of civilian and 50% of military head injuries, exacerbating chronic neurological disability. There is currently no method for preventing epilepsy after TBI.

 

Topiramate, an anticonvulsant, is used alone or with other medications to treat certain types of seizures in people who have epilepsy. Phenytoin, an anticonvulsant, is used to control certain type of seizures, and to treat and prevent seizures that may begin during or after surgery to the brain or nervous system. It works by decreasing abnormal electrical activity in the brain.

Inclusion Criteria: 1)Moderate to severe traumatic brain injury; 2)Time since TBI less than 24 hours; 3)Age greater than or equal to 18 years and 4)Subject capable of giving informed consent or have an acceptable surrogate capable of giving consent on the subject's behalf.

Exclusion Criteria: 1) Prior history of epilepsy or unprovoked seizures; 2)Irreversibly fatal TBI.

Endpoints: Prevention of epilepsy; Reduction of epilepsy – frequency, timing and severity of seizures.

 

Treatment Groups: Use three groups: Placebo Only versus Phenytoin versus Phenytoin+Topiramate

 

Sketch a basic clinical trial evaluating the effectiveness of Phenytoin and Topiramate in the prevention and reduction of epilepsy in subjects with recent TBI. Make your sketch concise and complete, following the style demonstrated in class, in the sample second hourlies and in case study summaries.

We recruit subjects with recent (acquired within 24 hours), moderate-to-severe traumatic brain injury, excluding those with prior histories of epilepsy or unprovoked seizures, and those with irreversibly fatal TBI.  Those giving informed consent (or proxy consent) are enrolled in the trial.

Enrolled subjects are randomly assigned to one of three treatment groups: PlaceboPhenytoin + PlaceboTopiramate,

Phenytoin + PlaceboTopiramate or Phenytoin + Topiramate. Double blinding is employed, so that neither subjects nor clinical workers know individual treatment status.

 

Treated subjects are tracked for the occurrence of epilepsy, and in those who present epilepsy, timing, patterns, frequency and severity of seizures. Safety and toxicity are also tracked in all treated subjects

 

Case Four | Confidence Interval, Population Proportion | Glioblastoma Multiforme

 

Glioblastoma multiforme (GBM) is the highest grade glioma tumor and is the most malignant form of astrocytomas. These tumors originate in the brain. GBM tumors grow rapidly, invade nearby tissue and contain cells that are very malignant. GBM are among the most common and devastating primary brain tumors in adults.

 

Suppose that we have a random sample of GBM patients, with survival time (in months) listed below:

 

0, 1, 2, 2, 3 | 3, 3, 3, 4, 4 |4, 4, 4, 5, 5 | 5, 5, 5, 5, 6 | 6, 6, 6, 6, 7 | 7, 7, 8, 8, 8 | 9, 10, 10, 10, 10 | 11, 11, 11, 11, 12

 12, 12, 12, 12, 13 | 13, 13, 13, 14, 14 | 14, 15, 15, 16, 16 | 16, 17, 17, 18, 18 | 18, 19, 19, 20, 21 | 22, 23, 24, 24, 25 27, 29, 30, 32, 36 | 38, 40, 58, 60, 61

 

Consider the proportion of GBM patients who survive 24 months or longer. Compute and interpret a 95% confidence interval for this population proportion. Show your work. Completely discuss and interpret your test results, as indicated in class and case study summaries.

 

0, 1, 2, 2, 3 | 3, 3, 3, 4, 4 |4, 4, 4, 5, 5 | 5, 5, 5, 5, 6 | 6, 6, 6, 6, 7 | 7, 7, 8, 8, 8 | 9, 10, 10, 10, 10 | 11, 11, 11, 11, 12

 12, 12, 12, 12, 13 | 13, 13, 13, 14, 14 | 14, 15, 15, 16, 16 | 16, 17, 17, 18, 18 | 18, 19, 19, 20, 21 | 22, 23, 24, 24, 25 27, 29, 30, 32, 36 | 38, 40, 58, 60, 61

 

n

e

p=e/n

sdp=sqrt(p*(1-p)/n)

Z

lower=p-2*sdp

upper=p+(2*sdp)

80

13

0.1625

0.041245265

2

0.08000947

0.244991

 

 

n=80

event = “GBM patient survives 24 months or longer”

event count = e = 13

sample proportion for event = e/n = 13/80 = 0.1625

sdp = sqrt(p*(1 – p)/n) = sqrt( (13/80)*(67/80)/80 )  ≈ 0.04124

from 2.00   0.02275    0.95450, Z=2.00

lower95  = p – (2*sdp) = (13/80) – 2*sqrt( (13/80)*(67/80)/80 )  ≈ 0.0800

upper95  = p + (2*sdp) = (13/80) + 2*sqrt( (13/80)*(67/80)/80 )  ≈ 0.2449

 

Write the interval as [0.0800, 0.2449].

 

We estimate the population proportion of patients with Glioblastoma Multiforme surviving 24 months or more after diagnosis.

 

Each member of the family of samples is a random sample of 80 GBM patients. The family of samples(FoS) consists of all possible samples of this type.

 

From each member of the FoS, compute the number e of GBM patients in the sample surviving 24 or more months after diagnosis, then compute the sample proportion for event p = e//80, then compute

sdp = sqrt(p*(1 – p)/n), then compute the interval [lower95, upper95] as

[ lower95  = p – (2*sdp), upper95  = p + (2*sdp) ]. Doing this for each member of the FoS yields a family of intervals (FoI), approximately 95% of which contain the true population proportion of patients with Glioblastoma Multiforme surviving 24 months or more after diagnosis.

 

If our interval resides in this 95% supermajority, then between 8.0% and 24.4% of Glioblastoma multiforme patients survive 24 or more months after diagnosis.

 

 

Table 1: Means and Proportions

 Z(k) PROBRT PROBCENT

0.05   0.48006    0.03988

0.10   0.46017    0.07966

0.15   0.44038    0.11924

0.20   0.42074    0.15852

0.25   0.40129    0.19741

0.30   0.38209    0.23582

0.35   0.36317    0.27366

0.40   0.34458    0.31084

0.45   0.32636    0.34729

0.50   0.30854    0.38292

0.55   0.29116    0.41768

0.60   0.27425    0.45149

0.65   0.25785    0.48431

0.70   0.24196    0.51607

0.75   0.22663    0.54675

0.80   0.21186    0.57629

0.85   0.19766    0.60467

0.90   0.18406    0.63188

0.95   0.17106    0.65789

1.00   0.15866    0.68269

Z(k) PROBRT PROBCENT

1.05   0.14686    0.70628

1.10   0.13567    0.72867

1.15   0.12507    0.74986

1.20   0.11507    0.76986

1.25   0.10565    0.78870

1.30   0.09680    0.80640

1.35   0.08850    0.82298

1.40   0.08075    0.83849

1.45   0.07352    0.85294

1.50   0.06680    0.86639

1.55   0.06057    0.87886

1.60   0.05479    0.89040

1.65   0.04947    0.90106

1.70   0.04456    0.91087

1.75   0.04005    0.91988

1.80   0.03593    0.92814

1.85   0.03215    0.93569

1.90   0.02871    0.94257

1.95   0.02558    0.94882

2.00   0.02275    0.95450

Z(k) PROBRT PROBCENT

2.05   0.020182    0.95964

2.10   0.017864    0.96427

2.15   0.015778    0.96844

2.20   0.013903    0.97219

2.25   0.012224    0.97555

2.30   0.010724    0.97855

2.35   0.009387    0.98123

2.40   0.008198    0.98360

2.45   0.007143    0.98571

2.50   0.006210    0.98758

2.55   0.005386    0.98923

2.60   0.004661    0.99068

2.65   0.004025    0.99195

2.70   .0034670    0.99307

2.75   .0029798    0.99404

2.80   .0025551    0.99489

2.85   .0021860    0.99563

2.90   .0018658    0.99627

2.95   .0015889    0.99682

3.00   .0013499    0.99730