Bob Sparrow purchases steak from a local meatpacking house. The meat is purchased on Monday at $2.00 per pound, and the shop sells the steak for $3.00 per pound. Any steak left over at the end of the week is sold to a local zoo for $0.50 per pound. The possible demands for steak and the probability of each are shown in the following table:
Demand (lbs.) Probability
20 0.2
21 0.3
22 0.5
Bob must decide how much steak to order in a week. Bob wants to maximize expected value. What is his expected value when purchasing optimally? [Hint: construct a payoff table for each of his decisions and each state of nature.] A) 20 B) 20.5 C) 20.25 D) 21 9.
What is Bob Sparrow’s Expected Value of Perfect Information? A) 20.5 B) 1.3 C) 0.8 D) 1.05
In: Statistics and Probability
A)
A student stretches an elastic band by 0.8 m in 0.5 seconds. The spring constant of the elastic band is 40 N/m. What was the power exerted by the student?
| 25.6 W | |
| 64.0 W | |
| 12.8 W | |
| 32 W |
B)
A student pushes a 0.2 kg box against a spring causing the spring to compress 0.15 m. When the spring is released, it will launch the box vertically into the air. What is the maximum height the box will reach if the spring constant is 300 N/m?
| 0.3 m | |
| 5.8 m | |
| 1.7 m | |
| 3.4 m |
C)
A student connects a 1 hp motor to a bicycle. How much time will it take for the bicycle to accelerate from rest to a speed of 5.0 m/s if the combined mass of the student and the bicycle is 120 kg? (1 hp = 746 W)
| 0.5 s | |
| 1500 s | |
| 2.0 s | |
| 300 s |
In: Physics
The following table summarizes the responses of a sample of 25 workers who were asked how many miles they had to travel to go to work.
|
Miles |
Frequency |
|
0<10 |
3 |
|
10<20 |
10 |
|
20<30 |
2 |
|
30<40 |
5 |
|
40<50 |
4 |
|
50<60 |
1 |
Suppose you build a histogram with this information. Describe it
A. "A single peak, skewed to the left (left-skewed)."
B. "A single peak, skewed to the right (right-skewed)."
C. "Bimodal, skewed to the right (right-skewed)."
D. "Bimodal, skewed to the left (left-skewed)."
"The survival time of patients after a certain type of surgery has a skewed distribution to the right due to the presence of outliers. Consequently, which statement is more likely to be correct?"
A. Median (median)> range
B. Average (mean) <median (median)
C. Average (mean)> median (median)
D. None of the above.
A distribution will be skewed to the left (left-skewed) if
A. Median <mid axis (midhinge)
B. Medium> mid axis (midhinge)
C. Median = mid axis (midhinge)
D. None of the above.
"Since P (A) = 0.4, P (B) = 0.5 and P (A ∩B) = 0.05. Then:"
A. P (A∪B) = 0.80; P (A / B) = 0.1
B. P (A∪B) = 0.85; P (A / B) = 0.15
C. P (A∪B) = 0.85; P (A / B) = 0.10
D. None of the above.
The average of the exam of a class of 30 students was 75. The average of the exam for the 20 male students of that class was 70. Then the average of the exam for the 10 female students was:
A. 85
B. 80
C. 75
D. None of the above.
"Two events are complementary (that is, they are complements), yes"
A. The sum of your odds is equal to one.
B. The probability of your interception is equal to one.
C. They are two independent events with equal probabilities.
D. None of the above.
What probability function can be used to describe the number of damaged printers in a random sample of 12 printers taken from a shipment of 70 printers consisting of 6 damaged printers?
A. Poisson
B. Hypergeometric
C. Binomial
D. None of the above.
You have the following probability distribution of the random variable X:
|
X |
P(X) |
|
100 |
0.1 |
|
150 |
0.2 |
|
200 |
0.3 |
|
250 |
0.3 |
|
300 |
0.1 |
The expected value of X is:
A. 175
B. 150
C. 205
D. None of the above.
The variable Z has a standard normal distribution. The probability P (0.71 <Z <1.43) is:
A. 0.1625
B. 0.92
C. 0.5
D. 0.485
"Suppose that X has a normal distribution with a mean μ = $ 64. Given that P (X> $ 75) = 0.2981, we can calculate that the standard deviation of X is approximately"
A. $ 20.75
B. $ 13.75
C. $ 5.83
D. $ 7.05
"In Quebec, 90% of the population is Catholic. In a random sample of 8 people find the probability that the sample contains at least five Catholics."
A. 0.005
B. 0.0331
C. 0.995
D. 0.9619
In: Statistics and Probability
Problem 3: Food Prices: Target versus Safeway. Grocery prices of the same randomly selected items were collected and compared from Target and Safeway. Imagine you were interested in conducting a hypothesis test to determine whether the mean prices were significantly different. Note: to answer the questions below, subtract Target price – Safeway price (i.e. subtract Safeway price from Target price).
Data:
Mean = -0.5071, Standard Deviation = 0.9012
|
Ball Park Hot Dogs |
3.79 |
3.79 |
0 |
|
Milk Gallon |
2.79 |
2.99 |
-0.2 |
|
Tomato Sauce 16 oz. |
0.42 |
0.49 |
-0.07 |
|
Grape Tomato |
0.99 |
1.29 |
-0.3 |
|
Chicken Breast |
4.79 |
3.39 |
1.4 |
|
Lays Chips |
3.14 |
3.99 |
-0.85 |
|
Coco Puffs |
2.99 |
3.75 |
-0.76 |
|
Brand Cereal |
2.39 |
3.09 |
-0.7 |
|
Special K |
2.99 |
3.95 |
-0.96 |
|
Foldgers |
4.39 |
4.69 |
-0.3 |
|
String Cheese |
4.64 |
3.99 |
0.65 |
|
Sharp Cheddar |
2.54 |
4.79 |
-2.25 |
|
Trop. Orange Juice |
3.59 |
4.89 |
-1.3 |
|
Water 24 pack |
5.09 |
5.19 |
-0.1 |
|
Pampers Diapers |
6.49 |
8.49 |
-2 |
|
Coke 2L |
4.99 |
5.19 |
-0.2 |
|
Ground Beef |
3.69 |
3.5 |
0.19 |
|
Bacon 16 oz |
5.29 |
7.69 |
-2.4 |
|
Mac n Cheese |
1.22 |
1.05 |
0.17 |
|
Corn |
0.82 |
0.89 |
-0.07 |
|
Ranch Dressing |
1.92 |
2.99 |
-1.07 |
|
Rice |
2.24 |
1.99 |
0.25 |
|
Baby Carrot |
1.59 |
1.59 |
0 |
|
Strawberries 16 oz |
2.69 |
3.99 |
-1.3 |
In: Statistics and Probability
|
# |
[Myoglobin] (mg/mL) |
Myoglobin stock volume (mL) |
[GuHCl] (M) |
GuHCl stock volume (mL) |
Phosphate buffer volume (mL) |
Total volume (mL) |
|
1 |
0.2 |
0 |
1000 |
|||
|
2 |
0.2 |
0.4 |
1000 |
|||
|
3 |
0.2 |
0.8 |
1000 |
|||
|
4 |
0.2 |
1.0 |
1000 |
|||
|
5 |
0.2 |
1.2 |
1000 |
|||
|
6 |
0.2 |
1.3 |
1000 |
|||
|
7 |
0.2 |
1.4 |
1000 |
|||
|
8 |
0.2 |
1.5 |
1000 |
|||
|
9 |
0.2 |
1.6 |
1000 |
|||
|
10 |
0.2 |
1.7 |
1000 |
|||
|
11 |
0.2 |
1.8 |
1000 |
|||
|
12 |
0.2 |
2.0 |
1000 |
|||
|
13 |
0.2 |
2.2 |
1000 |
|||
|
14 |
0.2 |
2.6 |
1000 |
|||
|
15 |
0.2 |
3.0 |
1000 |
In: Chemistry
Create a matlab function that converts Miles per hour to feet per second. Please show code in matlab
In: Computer Science
Magna Magna Corporation uses trucks to transport bottles from the warehouse to different retail outlets. Gasoline costs are $ 0.26 $0.26 per mile driven. Insurance costs are $ 7 comma 000 $7,000 per year. Calculate the total costs and the cost per mile for gasoline and insurance if the truck is driven (a) 16 comma 000 16,000 miles per year or (b) 35 comma 000 35,000 miles per year. (Round the cost per mile answers to the nearest cent, $X.XX.)
In: Accounting
in a study of 11,000 car crashes, it was found that 5720 of them occurred within 5 miles of home. Use .05 significance level to test the claim that more than 50% of car crashes occur within 5 miles of home.
Step 1: Ho:___ Ha:_____
Step 2: significance level a= .05
step 3 : Test :___
VALUES FOR EACH REQUIRED ENTRY ON CALCULATOR
p-value:____
Step 4: Decision
Reason:
Conclusion:
Please include numbers to put into the calculator and what test you use
In: Statistics and Probability
In: Chemistry
14. If the cylinder of largest possible volume is inscribed in a given sphere, determine the ratio of the volume of the sphere to that of the cylinder.
15. Determine the first quadrant point on the curve y2x = 18 which is closest to the point (2, 0).
16. Two cars are traveling along perpendicular roads, car A at 40 mph, car B at 60 mph. At noon when car A reaches the intersection, car B is 90 miles away, and moving toward it. At 1PM, what is the rate, in miles per hour, at which the distance between the cars is changing?
In: Math