Stellar, Inc. and Zytec, Inc. are two fabricating shops that compete with each other for business. Stellar an established company has been around for more than 20 years and consequently their equipment is somewhat dated. Zytec is a relatively new company and uses cutting edge equipment. Stellar employs 15 mechanics each at $25 per hour, 3 electricians each making $31 per hour, and 17 welders each making $27 per hour. Zytec on the other hand employs 12 mechanics each at $23 per hour, 5 electricians each making $29 per hour, and 21 welders each making $29 per hour. Is the labor cost between these companies significantly different at the .05 level?
In: Economics
13.18 In problem 13.6 on page 501, an owner of a moving company wanted to predict the labor hours, based on cubic feet moved (stored in Moving). Using the results of that problem,
A) Determine the coefficient of determination, r2, and interpret its meaning.
B) Determine the standard error of the estimate
C) How useful do you think this regression model is for predicting labor hours?
Here is problem 13.6 on page 501.
The owner of a moving company typically has his most experienced manager predict the total number of labor hours that will be required to complete an upcoming move. This approach has proved useful in the past, but the owner has the business objective of developing a more accurate method of predicting labor hours. In a preliminary effort to provide a more accurate method, the owner has decided to use the number of cubic feet moved as the independent variable and has collected data for 36 moves in which the origin and destination were within the borough of Manhattan in New York City and in which the travel time was an insignificant portion of the hours worked.
| A | B | C | D | |
| 1 | Hours | Feet | Large | Elevator |
| 2 | 24 | 545 | 3 | yes |
| 3 | 13.5 | 400 | 2 | yes |
| 4 | 26.25 | 562 | 2 | no |
| 5 | 25 | 540 | 2 | no |
| 6 | 9 | 220 | 1 | yes |
| 7 | 20 | 344 | 3 | yes |
| 8 | 22 | 569 | 2 | yes |
| 9 | 11.25 | 340 | 1 | yes |
| 10 | 50 | 900 | 6 | yes |
| 11 | 12 | 285 | 1 | yes |
| 12 | 38.75 | 865 | 4 | yes |
| 13 | 40 | 831 | 4 | yes |
| 14 | 19.5 | 344 | 3 | yes |
| 15 | 18 | 360 | 2 | yes |
| 16 | 28 | 750 | 3 | yes |
| 17 | 27 | 650 | 2 | yes |
| 18 | 21 | 415 | 2 | no |
| 19 | 15 | 275 | 2 | yes |
| 20 | 25 | 557 | 2 | yes |
| 21 | 45 | 1028 | 5 | yes |
| 22 | 29 | 793 | 4 | yes |
| 23 | 21 | 523 | 3 | yes |
| 24 | 22 | 564 | 3 | yes |
| 25 | 16.5 | 312 | 2 | yes |
| 26 | 37 | 757 | 3 | no |
| 27 | 32 | 600 | 3 | no |
| 28 | 34 | 796 | 3 | yes |
| 29 | 25 | 577 | 3 | yes |
| 30 | 31 | 500 | 4 | yes |
| 31 | 24 | 695 | 3 | yes |
| 32 | 40 | 1054 | 4 | yes |
| 33 | 27 | 486 | 3 | yes |
| 34 | 18 | 442 | 2 | yes |
| 35 | 62.5 | 1249 | 5 | no |
| 36 | 53.75 | 995 | 6 | yes |
| 37 | 79.5 | 1397 | 7 | no |
A) Construct a scatter plot.
B) Assuming a linear relationship, use the least-squares method to determine the regression coefficients b0 and b1.
C) Interpret the meaning of the slope, b1, in this problem.
D) Predict the mean labor hours for moving 500 cubic feet.
E) What should you tell the owner of the moving company about the relationship between cubic feet moved and labor hours?
In: Statistics and Probability
Crooked Creek Wines operates a cellar door venue in which customers can sample and purchase wines. The average revenue per day is $750 , variable cost per day is $250 and annual fixed costs for the cellar door operations is $95,000. Assume 365 operating days. What is the operating profit (loss) fo r cellar door operations per year?
As CVP analysis allows us to play “what if” games with the information, calculate the operating profit under each of the following conditions:
a) Reduction in cellar door operations to 280 days per annum
b) Increase in the average daily revenue to $800
c) Increase in the average daily revenue to $800 AND decrease variable costs to $225 AND reduce the operating days to 290.
Once all of the options have been considered, which of the options would you recommend to the management o f Crooked Creek Wines and why?
In: Accounting
California Speeding: Listed below are the recorded speeds (in mi/hr) of randomly selected cars traveling on a section of Highway 405 in Los Angeles. That part of the highway has a posted speed limit of 65 mi/hr. Assume the standard deviation of speeds is 5.7 mi/hr. Use a 1% significance level to test the claim that sample is from a population with a mean weight that is greater than 65 mi/hr. 68 68 72 73 65 74 73 72 68 65 65 73 66 71 68 74 66 71 65 73 59 75 70 56 66 75 68 75 62 72 60 73 61 75 58 74 60 73 58 75
In: Statistics and Probability
Seniors want to use technology to stay connected, read magazines and emails, share photos and ideas, listen to music, find recipes and discount coupons and much more. The Ontario Society of Senior Citizens Organizations (OSSCO) offers a variety of computer training opportunities, including using self-help instructions on iPad technology. Consulting with 20 seniors helped OSSCO develop these self-help instructions for both individual users and trainers who work with seniors. The ages of the seniors are listed below.
What is the median of the observations?
77 74 72 82
92 80 67 95
71 94 75 98
82 68 87 69
74 87 76 79
A. 82.5
B. 78
C. 80.5
D. 74
In: Statistics and Probability
Do hypothesis testing (t test)
Test grade of students against 88 - insert the SPSS output in the space below.
a- What would be the alternate hypothesis for the study?
b- Wh at would be the null hypothesis?
c- What Level of Significance do you choose?
d- What is the computed t critical value for the study?
e- What is the P-value of the test?
f- What is the conclusion?
| Gender | Grade | Ehicity |
| Female | 87 | African American |
| Male | 95 | Hispanic |
| Female | 81 | White |
| Female | 74 | White |
| Female | 73 | African American |
| Male | 92 | African American |
| Female | 63 | White |
| Female | 55 | White |
| Female | 94 | White |
| Female | 84 | White |
| Male | 88 | White |
| Male | 78 | Hispanic |
| Male | 75 | African American |
| Male | 93 | Hispanic |
| Female | 87 | Hispanic |
| Male | 65 | Hispanic |
| Male | 90 | African American |
| Female | 89 | African American |
| Female | 82 | White |
| Female | 77 | African American |
| Female | 82 | White |
| Female | 72 | White |
| Female | 86 | White |
| Female | 60 | White |
| Female | 90 | Hispanic |
| Male | 87 | Hispanic |
| Female | 89 | African American |
| Male | 77 | African American |
| Male | 76 | Hispanic |
| Female | 80 | Hispanic |
| Female | 74 | Hispanic |
| Female | 88 | White |
| Female | 80 | White |
| Female | 80 | African American |
| Female | 81 | White |
| Male | 74 | Hispanic |
| Male | 80 | White |
| Female | 74 | African American |
| Female | 91 | White |
| Male | 74 | White |
In: Statistics and Probability
4) Do hypothesis testing (t test)
Test grade of students against 88
a- What would be the alternate hypothesis for the study?
b- What would be the null hypothesis?
c- What Level of Significance do you choose?
d- What is the computed t critical value for the study?
e- What is the P-value of the test?
f- What is the conclusion?
| Table 1 - Variuous data on Rutgers Students | ||
| Gender | Grade | Ehicity |
| Female | 87 | African American |
| Male | 95 | Hispanic |
| Female | 81 | White |
| Female | 74 | White |
| Female | 73 | African American |
| Male | 92 | African American |
| Female | 63 | White |
| Female | 55 | White |
| Female | 94 | White |
| Female | 84 | White |
| Male | 88 | White |
| Male | 78 | Hispanic |
| Male | 75 | African American |
| Male | 93 | Hispanic |
| Female | 87 | Hispanic |
| Male | 65 | Hispanic |
| Male | 90 | African American |
| Female | 89 | African American |
| Female | 82 | White |
| Female | 77 | African American |
| Female | 82 | White |
| Female | 72 | White |
| Female | 86 | White |
| Female | 60 | White |
| Female | 90 | Hispanic |
| Male | 87 | Hispanic |
| Female | 89 | African American |
| Male | 77 | African American |
| Male | 76 | Hispanic |
| Female | 80 | Hispanic |
| Female | 74 | Hispanic |
| Female | 88 | White |
| Female | 80 | White |
| Female | 80 | African American |
| Female | 81 | White |
| Male | 74 | Hispanic |
| Male | 80 | White |
| Female | 74 | African American |
| Female | 91 | White |
| Male | 74 | White |
In: Statistics and Probability
Amy has two ways to travel from her home in Norco to her office in Los Angeles. One is to go via the 10 Freeway, and the other is to go via 60 Freeway. In order to determine which way she should travel on a daily basis, Amy has recorded the travel times for samples of eleven trips via the 10 Freeway and eleven trips via the 60 Freeway. The following table gives the travel times (in minutes) for the twenty-two trips:
| Travel times in minutes | ||
|---|---|---|
| 10 Freeway |
|
|
| 60 Freeway |
|
Assume that the two populations of travel times are normally distributed and that the population variances are equal. Can we conclude, at the
0.05
level of significance, that the mean travel times of the two routes are different?
Perform a two-tailed test. Then fill in the table below.
Carry your intermediate computations to at least three decimal places and round your answers as specified in the table.
|
||||||||||||||||||||||||||||||||
In: Statistics and Probability
Question 01. For shutting down, a firm must consider which of the following condition.
a. Revenue and marginal cost
b. Revenue and total cost
c. Revenue and the variable cost.
d. Revenue and fixed cost
.
Question 02: My company's revenue is AED 1000 and fixed cost is AED 600, the variable cost is 1000. I have a loss of AED 600, Should I shut down the company? Justify your reasoning.
In: Economics
Krey Distributing Company completed these merchandising transactions in the month of April. At the beginning of April, the ledger of Krey showed Cash of $10,000 and Common Stock of $10,000.
Apr. 2 Purchased merchandise on account from Am-Bev Co. $8,700,
terms 2/10, n/30.
4 Sold merchandise on account to Gata, Inc. $6,000, terms 2/10,
n/30, FOB Destination. The cost of the merchandise sold was
$3,700.
5 Paid $200 freight by check on April 4 sale.
6 Received credit from Am-Bev Co. for merchandise returned
$400.
11 Paid Am-Bev Co. in full, less discount.
13 Received collections in full, less discounts, from Gata, Inc.,
billed on April 4.
14 Purchased merchandise from Flug, Inc. for cash $4,700. No
shipping costs incurred.
16 Received refund of $500 from Flug, Inc. for returned merchandise
on cash purchase of April 14.
18 Purchased merchandise from Lohr Distributors $5,500, terms 2/10,
n/30, FOB Shipping Point.
20 Paid freight by check on April 18 purchase $180.
23 Sold merchandise for cash to Kirkja, Inc. for $8,300. The cost
of the merchandise sold was $5,580.
26 Purchased merchandise for cash from Silung, Inc. for
$2,300.
27 Paid Lohr Distributors in full, less discount.
29 Made refunds to various cash customers for returned merchandise
$180. The returned merchandise had a cost of $120.
30 Sold merchandise on account to Frimirki, Inc. $3,980, terms
n/30. The cost of the merchandise sold was $2,500. No shipping
charges.
Krey Distributing Company’s chart of accounts includes Cash, Accounts Receivable, Inventory, Accounts Payable, Common Stock, Sales Revenue, Sales Returns and Allowances, Sales Discounts, Cost of Goods Sold, and Freight-Out. Instructions
(a) Journalize the transactions.
(b) Prepare the income statement through gross profit for the month of April 2014.
In: Accounting