In this problem we are dealing with an Er lang distribution. Er lang distribution is related to the Poisson distribution
Raw materials are studied for contamination. Suppose that the number of particles of contamination per pound...
) Raw materials are studied for contamination. Suppose that the number of particles of contamination per pound of material is a Poisson random variable with a mean of 0.014 particles per pound. a. What is the expected number of pounds of material required to obtain 15 particles of contamination? b. What is the standard deviation of the pounds of materials required to obtain 15 particles of contamination?
The standard and actual prices per pound of raw material are $4.00 and $4.50, respectively. A total of 10,500 pounds of raw material was purchased and then used to produce 5,000 units. The quantity standard allows 2 pounds of the raw material per unit produced. What is the materials price variance? Give equation used as well.
Alpha Company purchased, on account, 3,500 pounds of raw materials at $10 per pound on January 2, 2017. The production manager requisitioned and received 2,500 pounds of raw material into production on January 15. Use this information to prepare the General Journal entries (without explanation) for January 2 and January 15. If no entry is required then write "No Entry Required."
Alaska Corporation purchased, on account, 6,600 pounds of raw materials at $7.50 per pound on January 2, 2019. The production manager requisitioned and received 2,350 pounds of raw material into production on January 15. Use this information to prepare the General Journal entries (without explanation) for January 2 and January 15. If no entry is required then write "No Entry Required."
12. What contribution margin per pound of raw material is earned
by each of the two products?
Contribution margin per pound: Alpha Beta
13. Assume that Cane's customers would buy a maximum of 97,000
units of Alpha and 77,000 units of Beta. Also assume that the
company's raw material available for production is limited to
247,000 pounds. How many units of each product should Cane produce
to maximize its profits?
Units produced: Alpha Beta
14. Assume that Cane's customers would...
San Diego Sheet Metal, Inc. incurs a variable cost of $40 per pound
for raw material to produce a special alloy used in manufacturing
aircraft.
Required:
In the table below, show the unit cost and total cost of raw
material at the following production levels: 1 pound, 10 pounds,
and 1,000 pounds.
Production Level in pounds Unit Cost Total Cost per pound per pound per pound 1,000
San Diego Sheet Metal, Inc. incurs a variable cost of $40 per pound for raw material to produce a special alloy used in manufacturing aircraft. Required: In the table below, show the unit cost and total cost of raw material at the following production levels: 1 pound, 10 pounds, and 1,009 pounds. Production Level in pounds Unit Cost Total Cost per pound per pound per pound 10 1,000 Prev 17 of 19 l Next 28 29 30
Brief Exercise 23-2
Tang Company accumulates the following data concerning raw
materials in making its finished product: (1) Price per pound of
raw materials—net purchase price $2.92, freight-in $0.38, and
receiving and handling $0.24. (2) Quantity per gallon of finished
product—required materials 3.21 pounds, allowance for waste and
spoilage 0.90 pounds.
Compute the following. (Round answers to 2 decimal
places, e.g. 1.25.)
(a)
Standard direct materials price per pound of raw
materials.
$
(b)
Standard direct materials quantity per gallon....
being wil U UL ILS UPP 6. Suppose the weight of "10-pound" bag of flour is a random variable with mean 9.8 pounds and standard deviation of 0.5 pounds. What is the probability that a hundred "10-pound" bags weigh more than 1000? T renere is that
Suppose that the number of asbestos particles in a sample of 1 squared centimeter of dust is a Poisson random variable with a mean of 1000. What is the probability that 10 squared centimeters of dust contains more than 10030 particles? Use normal approximation without continuity correction. Round your answer to 3 decimal places