In: Statistics and Probability
A screen-printing business has to choose between printing t-shirts and
sweatshirts to manage risk due to dwindling student enrollments. The matrix below
shows the returns of each shirt and probabilities of three possible enrollment outcomes; high,
average, and low.
| 
 Student Enrollment Outcome  | 
 Probability  | 
 Corn  | 
 Soybeans  | 
| 
 High  | 
 0.1  | 
 $25,000  | 
 $29,000  | 
| 
 Average  | 
 0.6  | 
 12,000  | 
 15,000  | 
| 
 Low  | 
 0.3  | 
 5,000  | 
 2,000  | 
| 
 Expected Value  | 
 11,200  | 
 12,500  | 
|
| 
 Minimum Value  | 
 $5,000  | 
 $2,000  | 
|
| 
 Maximum Value  | 
 $25,000  | 
 $29,000  | 
|
| 
 Range  | 
 $20,000  | 
 $27,000  | 
Which shirt type should the business produce considering each of the following decision rule?
i. Most likely outcome ______________________________
ii. Maximum expected value ______________________________
iii. Risk and returns comparison ______________________________
iv. Safety first (maxi-min) ______________________________
v. Minimum of $4,000 returns ______________________________
1)a) Option - A) Matched pairs
b) Option - C) 
 < 0
c) 
 =
((-3) + 0 + 2 + (-6) + (-1) + (-3) + (-3) + 0 + (-3) + (-4))/10 =
-2.1
sd = sqrt((((-3 + 2.1)^2 + (0 + 2.1)^2 + (2 + 2.1)^2 + (-6 + 2.1)^2 + (-1 + 2.1)^2 + (-3 + 2.1)^2 + (-3 + 2.1)^2 + (0 + 2.1)^2 + (-3 + 2.1)^2 + (-4 + 2.1)^2)/9) = 2.331
c) The test statistic t = (
 -
D)/(sd/
)
                                
= (-2.1 - 0)/(2.331/
)
= -2.85
d) P-value = P(T < -2.85)
= 0.0095
e) Since the P-value is less than the significance level(0.0095 < 0.05), so we should reject H0.
Yes, there is sufficient evidence to support the claim that people do better on the second test.
2) At 95% confidence interval the critical value is t* = 2.262
The 95% confidence interval is
 +/-
t* * sd/
= -2.1 +/- 2.262 * 2.331/
= -2.1 +/- 1.667
= -3.767, -0.433