Questions
Managers at Wager Fabricating Company are reviewing the economic feasibility of manufacturing a part that the...

Managers at Wager Fabricating Company are reviewing the economic feasibility of manufacturing a part that the currently purchases from a supplier. Forecasted annual demand for the part is 3200 units. Wagner operates 250 days per year.

Wagner's financial analysts have established a cost of capital of 14% for the use of funds for investments within the company. In addition, over the past year $600,000 was the average investment in the company's inventory. Accounting information shows that a total of $24,000 was spent on taxes and insurance related to the company's inventory. In addition, an estimated $9000 was lost due to inventory shrinkage, which included damaged goods as well as pilferage. A remaining $15,000 was spent on warehouse overhead, including utility expenses for heating and lighting.

An analysis of the purchasing operation shows that approximately two hours are required to process and coordinate an order for the part regardless of the quantity ordered. Purchasing salaries average $28 per hour, including employee benefits. In addition, a detailed analysis of 125 orders showed that $2375 was spent on telephone, paper, and postage directly related to the ordering process.

A one-week lead time is required to obtain the part from the supplier. An analysis of demand during the lead time shows it is approximately normally distributed with a mean of 64 units and a standard deviation of 10 units. Service-level guidelines indicate that one stock-out per year is acceptable.

Currently, the company has a contract to purchase the part from a supplier at a cost of $18 per unit. However, over the past few months, the company's production capacity has been expanded. As a result, excess capacity is now available in certain production departments, and the company is considering the alternative of producing the parts itself.

Forecasted utilization of equipment shows that production capacity will be available for the part being considered. The production capacity is available at the rate of 1000 units per month, with up to five months of production time available. Management believes that with a two-week lead time, schedules can be arranged so that the part can be produced whenever needed. The demand during the two-week lead time is approximately normally distributed, with a mean of 128 units and a standard deviation of 20 units. Product costs are expected to be $17 per part.

A concern of management is that setup costs will be substantial. The total cost of labor and lost production time is estimated to be $50 per hour, and a full eight-hour shift will be needed to set up the equipment for producing the part.

Managerial Report

Develop a report for management of Wagner Fabricating that will address the question of whether the company should continue to purchase the part from the supplier or begin to produce the part itself. Include the following factors in your report:

1. An analysis of the holding costs, including the appropriate annual holding cost rate

2. An analysis of ordering costs, including the appropriate cost per order from the supplier

3. An analysis of setup costs for the production operation

4. A development of the inventory policy for the following two alternatives:

a. Ordering a fixed quantity Q from the supplier

b. Ordering a fixed quantity Q from in-plant production

5. Include the following in the policies of parts 4(a) and 4(b):

a. Optimal quantity Q*

b. Number of order or production runs per year

c. Cycle time

d. Reorder point

e. Amount of safety stock

f. Expected maximum inventory

g. Average inventory

h. Annual holding cost

i. Annual ordering cost

j. Annual cost of units purchased or manufactured

k. Total annual cost of the purchase policy and the total annual cost of the production policy

6. Make a recommendation as to whether the company should purchase or manufacture the part. What savings are associated with your recommendation as compared with the other alternative?

In: Accounting

1) Use worksheet “baseball stats” to perform a multiple regression analysis on the dataset found in...

1) Use worksheet “baseball stats” to perform a multiple regression analysis on the dataset found in BB2011 tab, using Wins as the dependent variable, and League, ERA, Runs Scored, Hits Allowed, Walks Allowed, Saves, and Errors as candidates for the independent variables. Perform the analysis at the 5% significance level.

Team League Wins E.R.A. Runs Scored Hits Allowed Walks Allowed Saves Errors
Baltimore 0 69 4.89 708 1568 535 32 110
Boston 0 90 4.20 875 1366 540 36 92
Chicago White Sox 0 79 4.10 654 1463 439 42 79
Cleveland 0 80 4.23 704 1482 463 38 110
Detroit 0 95 4.04 787 1406 492 52 103
Kansas City 0 71 4.44 730 1487 557 37 95
Los Angeles Angels 0 86 3.57 667 1388 476 39 93
Minnesota 0 63 4.58 619 1564 480 32 119
New York Yankees 0 97 3.73 867 1423 507 47 102
Oakland 0 74 3.71 645 1380 519 39 124
Seattle 0 67 3.90 556 1369 436 39 108
Tampa Bay 0 91 3.58 707 1263 504 32 73
Texas 0 96 3.79 855 1327 461 38 114
Toronto 0 81 4.32 743 1433 540 33 110
Arizona 1 94 3.80 731 1414 442 58 90
Atlanta 1 89 3.48 641 1332 521 52 83
Chicago Cubs 1 71 4.33 654 1439 580 40 134
Cincinnati 1 79 4.16 735 1414 539 39 91
Colorado 1 73 4.43 735 1471 522 41 98
Houston 1 56 4.51 615 1477 560 25 116
Los Angeles Dodgers 1 82 3.54 644 1287 507 40 85
Miami 1 72 3.95 625 1403 500 40 93
Milwaukee 1 96 3.63 721 1348 440 47 111
New York Mets 1 77 4.19 718 1482 514 43 116
Philadelphia 1 102 3.02 713 1320 404 47 74
Pittsburgh 1 72 4.04 610 1513 535 43 112
St. Louis 1 90 3.74 762 1461 448 47 116
San Diego 1 71 3.42 593 1324 521 44 94
San Francisco 1 86 3.20 570 1260 559 52 104
Washington 1 80 3.58 624 1403 477 49 104

a) Create a full write up, where you write your statistical analysis step by step. In your write up, make sure you address the following points.

·        Methodology and steps that you took to get to your final regression equation.

·        Final regression equation output.

·        What is the final regression equation?

·        Interpret all the coefficients in the equation.

·        Speak to whether the signs on the coefficients make sense.

·        Interpret R squared.

·        Include a full residual analysis.

·        What is the residual of the Tampa Bay observation?

b) Now, use tab BB2012 to make predictions of wins in 2012, using the model you created with the 2011 stats.  

·        How many games are the Giants (SFG) expected to win in 2012?

·        Which team is predicted by the model to have the worst record in 2012?

·        Which team is predicted by the model to have the best record in 2012?

Team WINS E.R.A. Runs Scored Hits Allowed Walks Allowed Saves Errors
ARI 81 3.93 734 1432 417 39 91
ATL 94 3.42 700 1310 464 47 89
BAL 93 3.9 712 1433 481 55 109
BOS 69 4.7 734 1449 529 35 100
CHC 61 4.51 613 1399 573 28 105
CHW 85 4.02 748 1365 503 37 70
CIN 97 3.34 669 1356 427 56 89
CLE 68 4.78 667 1503 543 43 97
COL 64 5.22 758 1637 566 36 122
DET 88 3.75 726 1409 438 40 97
HOU 55 4.56 583 1493 540 31 118
KCR 72 4.3 676 1504 542 44 113
LAA 89 4.02 767 1339 483 38 97
LAD 86 3.34 637 1277 539 40 97
MIA 69 4.09 609 1448 495 38 104
MIL 83 4.22 776 1458 525 44 99
MIN 66 4.77 701 1536 465 35 107
NYM 74 4.09 650 1368 488 36 102
NYY 95 3.84 804 1401 431 51 76
OAK 94 3.48 713 1360 462 47 110
PHI 81 3.83 684 1387 409 42 100
PIT 79 3.86 651 1357 490 45 112
SDP 76 4.01 651 1356 539 43 123
SEA 75 3.76 619 1359 449 43 71
SFG 94 3.68 718 1361 489 53 112
STL 88 3.71 765 1420 436 42 107
TBR 90 3.19 697 1233 469 50 113
TEX 93 3.99 808 1378 446 43 86
TOR 73 4.64 716 1439 574 29 102
WSN 98 3.33 731 1296 497 51 96

In: Math

UML Diagrams Osceola Auto Parts Osceola Auto Parts is an independent auto parts dealer that sells...

UML Diagrams

Osceola Auto Parts

Osceola Auto Parts is an independent auto parts dealer that sells auto parts, runs tests on customers’ cars,and delivers parts and tools to mechanic shops around town.

Tasks

1. Identify possible actors and use cases involved in Osceola’s business functions.

2. Using dia, create a use case diagram for Osceola’s operations.

3. Select one of the use cases and create a class diagram.

4. Using dia, create a sequence diagram for the use case you selected.

In: Computer Science

Suppose we have seven identical balls to be distributed in bins labeled  A, B, C, and D....

Suppose we have seven identical balls to be distributed in bins labeled  A, B, C, and D. For example, one way to distribute the balls is to place two in A, none in B, four in C, and one in D.

a) How many ways are there to distribute the balls among the four bins? Explain your answer.

b) How many ways are there to distribute the balls so that at each bin has at least one ball in it? Explain your answer.

c) How many ways are there to distribute the balls so that at least one of the bins is empty? Explain your answer.

d) How many solutions are there to the equation a + b + c + d = 7, where a, b, c, and d must be positive integers? Explain your answer.

In: Statistics and Probability

We have independent random samples from two populations. Compute the 95% CI for the difference between...

We have independent random samples from two populations. Compute the 95% CI for the difference between the two population means. Use df = 52 , if needed.

Sample 1: n = 30 , X-bar = 40 , σ 2 = 50

Sample 2: n = 40 , X-bar = 80 , σ 2 = 30

In: Statistics and Probability

1. A neuropsychologist believed that right-handed people would recognize objects placed in their right hands more...

1. A neuropsychologist believed that right-handed people would recognize objects placed in their right hands more quickly than objects placed in their left hands, when they were blindfolded. Two scores were measured. Condition 1: the number of objects the right-handed participant could recognize in two minutes using the right hand (RightRec) and Condition 2: the number of objects the right-handed participant could recognize in two minutes using the left hand (LeftRec).

a. The Null and Alternative Hypotheses (using full sentences)

b. Using sentences, present the descriptive statistics for groups in the study: for example: mean(s), Std. Deviation, Std. Error Mean, etc.

c, (APA-style) sentences. With alpha at 0.05 level, present your conclusion about the Null Hypothesis in terms of the size of the t-statistic, statistical significance, and whether it was a one-tailed or two-tailed test.

d. Conclusions. From the point of view of the researcher, do the conclusions support the research hypothesis (the Alternative)? Are you confident about the conclusions based on the data you examined?

please help, thanks.. SPSS data below for the study.

Right rec Left Rec
1 10 8
2 11 5
3 9 9
4 14 9
5 5 11
6 7 7
7 9 8
8 8 10
9 15 7
10 7 12
11 11 6
12 13 8
13 10 8
14 11 6
15 10 11
16 8 9
17 9 10
18 12 13
19 13 10
20 7 6

In: Statistics and Probability

. If two heterozygous parents (i.e., both Aa) mate, they produce offspring in the expected Mendelian...

. If two heterozygous parents (i.e., both Aa) mate, they produce offspring in the expected Mendelian proportions (i.e., 1/4AA, 1/2Aa, 1/4aa). We observe a big Drosophila family of 40 offspring of which 7 are aa. i) Construct   95% confidence interval on the observed proportion of aa offspring (7/40). What does this confidence interval tell us about our null hypothesis? Hint: our null hypothesis is that Mendelian laws have not been violated. ii)   Are   7   or   fewer   offspring statistically consistent   with   Mendelian expectations?    Hint: figure out the probability of observing 7 or fewer offspring in such a family if Mendelian laws have not been violated. iii) How few offspring of type aa would we have to observe in order to be suspicious that Mendelian proportions are being violated? Is your answer a test of a one-tailed hypothesis or a two-tailed hypothesis?

All work needs to be done in Rstudio.

In: Statistics and Probability

In her book Red Ink Behaviors, Jean Hollands reports on the assessment of leading Silicon Valley...

In her book Red Ink Behaviors, Jean Hollands reports on the assessment of leading Silicon Valley companies regarding a manager's lost time due to inappropriate behavior of employees. Consider the following independent random variables. The first variable x1 measures manager's hours per week lost due to hot tempers, flaming e-mails, and general unproductive tensions.

x1: 3 5 6 2 2 4 10

The variable x2 measures manager's hours per week lost due to disputes regarding technical workers' superior attitudes that their colleagues are "dumb and dispensable".

x2: 8 5 4 5 9 4 10 3

Use a calculator with sample mean and sample standard deviation keys to calculate x1, s1, x2, and s2. (Round your answers to two decimal places.)

x1 =
s1 =
x2 =
s2 =

(a) Does the information indicate that the population mean time lost due to hot tempers is different (either way) from the population mean time lost due to disputes arising from technical workers' superior attitudes? Use α = 0.05. Assume that the two lost-time population distributions are mound-shaped and symmetric.

(i) What is the level of significance?

What is the value of the sample test statistic? Compute the corresponding z or t value as appropriate. (Test the difference μ1 − μ2. Do not use rounded values. Round your final answer to three decimal places.)

(b) Find a 95% confidence interval for μ1 − μ2.(Round your answers to two decimal places.)

lower limit   ?
upper limit ?

In: Statistics and Probability

1. The U.S. Department of Transportation reported that during November, 83.4% of Southwest Airlines’ flights, 75.1%...

1. The U.S. Department of Transportation reported that during November, 83.4% of Southwest
Airlines’ flights, 75.1% of US Airways’ flights, and 70.1% of JetBlue’s flights arrived on time (USA
Today, January 4, 2007). Assume that this on-time performance is applicable for flights arriving at
concourse A of the Rochester International Airport, and that 40% of the arrivals at concourse Aare
Southwest Airlines flights, 35% are US Airways flights, and 25% are JetBlue flights.
a. An announcement has just been made that Flight 1424 will be arriving at gate in concourse A.
What is the most likely airline for this arrival?
c. What is the probability that Flight 1424 will arrive on time?
d. Suppose that an announcement is made saying that Flight 1424 will be arriving late. What is the
most likely airline for this arrival? What is the least likely airline?


2. In San Francisco, 30% of workers take public transportation daily (USA Today, December 21, 2005).
a. In a sample of 10 workers, what is the probability that exactly three workers take public
transportation daily?
b. In a sample of 10 workers, what is the probability that at least three workers take public
transportation daily?


3. Auniversity found that 20% of its students withdraw without completing the introductory statistics
course. Assume that 20 students registered for the course.
a. Compute the probability that two or fewer will withdraw.
b. Compute the probability that exactly four will withdraw.
c. Compute the probability that more than three will withdraw.
d. Compute the expected number of withdrawals.


4. Phone calls arrive at the rate of 48 per hour at the reservation desk for Regional Airways.
a. Compute the probability of receiving three calls in a 5-minute interval of time.
b. Compute the probability of receiving exactly 10 calls in 15 minutes

.
5. More than 50 million guests stay at bed and breakfasts (B&Bs) each year. The website for the Bed
and Breakfast Inns of North America, which averages seven visitors per minute, enables many
B&Bs to attract guests (Time, September 2001).
a. Compute the probability of no website visitors in a one-minute period.
b. Compute the probability of two or more website visitors in a one-minute period.


6. In a survey conducted by the Gallup Organization, respondents were asked, “What is your favorite
sport to watch?” Football and basketball ranked number one and two in terms of preference
(Gallup website, January 3, 2004). Assume that in a group of 10 individuals, seven prefer football
and three prefer basketball. A random sample of three of these individuals is selected.
a. What is the probability that exactly two prefer football?
b. What is the probability that the majority (either two or three) prefer football?

In: Statistics and Probability

8. Adam, Bonnie, Chuck, Dave and Elaine are engineers from different companies attending a professional conference...

8. Adam, Bonnie, Chuck, Dave and Elaine are engineers from different companies attending a professional conference at the University of Arizona in Tucson. There are seven hotels near the campus. Each engineer will stay at a randomly picked hotel. a. What is the probability that they will all stay at the same hotel? b. What is the probability that they will all stay at different hotels? c. Adam has a crush on Bonnie, what is the probability that they will stay at the same hotel? d. What is the probability that exactly two of the five engineers will stay at the same hotel with no one else staying at a same hotel?

In: Math