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