Questions
Use the Lagrange multiplier method to identify the stationary point(s) of the function ?(?, ?, ?)=10?...

Use the Lagrange multiplier method to identify the stationary point(s) of the function ?(?, ?, ?)=10? + 5? + ? + 2?^2 + 4?? + ?^2 + 2?? - ?^2 - ??, subject to the constraint 5? + 3? + ? = 27. Subsequently determine the nature of the stationary point(s) using the bordered Hessian matrix.

In: Advanced Math

A sample of size 27 will be drawn from a population with mean 4 and standard...

A sample of size 27 will be drawn from a population with mean 4 and standard deviation 3.

(a) Is it appropriate to use the normal distribution to find probabilities for x?

(b) If appropriate find the probability that x will be greater than 2.

(c) If appropriate find the

40th percentile of x.

In: Statistics and Probability

The following are distances (in miles) traveled to the workplace by 17 employees of a certain...

The following are distances (in miles) traveled to the workplace by 17 employees of a certain hospital.

9, 27, 31, 18, 1, 28, 13, 32, 3, 18, 29, 16, 2, 37, 14, 22, 11

What is The 25th percentile?

What is the 70th percentile?

In: Statistics and Probability

Problem 3.An exam has 30 multiple choice questions. Each question has five answer choices, ofwhich exactly...

Problem 3.An exam has 30 multiple choice questions. Each question has five answer choices, ofwhich exactly one is correct. In how many different ways can a student who answers all questionsget at least 27 of them correct?

In: Statistics and Probability

FIllmore Company began operations on Sept. 1 by purchasing$6,000 of inventory and $600 of cleaning...

FIllmore Company began operations on Sept. 1 by purchasing $6,000 of inventory and $600 of cleaning supplies.  During the month, the company generated $7,500 of sales revenue. On Sept. 30, the company had $2,100 of inventory remaining, along with $400 of cleaning supplies. What was FIllmore Company's gross profit for the month of September?Note 3,400 is wrong somehow!

In: Accounting

1) One out of every 92 tax returns that a tax auditor examines requires an audit....

1) One out of every 92 tax returns that a tax auditor examines requires an audit. If 50 returns are selected at random, what is the probability that less than 3 will need an audit? 0.0151 0.9978 0.0109 0.9828

2) Sixty-seven percent of adults have looked at their credit score in the past six months. If you select 31 customers, what is the probability that at least 20 of them have looked at their score in the past six months? 0.142 0.550 0.692 0.450

3) Ten rugby balls are randomly selected from the production line to see if their shape is correct. Over time, the company has found that 89.4% of all their rugby balls have the correct shape. If exactly 6 of the 10 have the right shape, should the company stop the production line? No, as the probability of six having the correct shape is not unusual Yes, as the probability of six having the correct shape is not unusual No, as the probability of six having the correct shape is unusual Yes, as the probability of six having the correct shape is unusual

In: Math

If rice is an inferior, then: A decrease in income causes increase in quantity demanded, shifts...

  1. If rice is an inferior, then:

  1. A decrease in income causes increase in quantity demanded, shifts D curve to the right
  2. A decrease in income causes increase in quantity demanded, shifts S curve to the right
  3. A decrease in income causes increase in quantity demanded, shifts D curve to the left
  4. A decrease in income causes increase in quantity demanded, shifts S curve to the left

  1. Suppose a producer is able to separate customers into two groups, one having an inelastic demand and the other having an elastic demand. If the producer’s objective is to increase total revenue, he should:

  1. Decrease the price charged to customer with the elastic demand and increase the price charged to customer with the inelastic demand
  2. Increase the price for both groups of customers
  3. Increase the price charged to customer with the elastic demand and decrease the price charged to customer with the inelastic demand
  4. decrease the price for both groups of customers

  1. Which of the following is likely to have the most price inelastic demand?
  1. MP3 players
  2. Laptop computers
  3. Designer jeans
  4. School fees for students

  1. If chicken is a normal good, then:
  1. An increase in income causes increase in quantity demanded, shifts D curve to the left
  2. An increase in income causes increase in quantity demanded, shifts S curve to the left
  3. An increase in income causes increase in quantity demanded, shifts D curve to the right
  4. An increase in income causes increase in quantity demanded, shifts S curve to the right

In: Economics

The following were selected from among the transactions completed by Babcock Company during November of the...

The following were selected from among the transactions completed by Babcock Company during November of the current year:

Nov. 3 Purchased merchandise on account from Moonlight Co., list price $85,000, trade discount 25%, terms FOB destination, 2/10, n/30.
4 Sold merchandise for cash, $37,680. The cost of the merchandise sold was $22,600.
5 Purchased merchandise on account from Papoose Creek Co., $47,500, terms FOB shipping point, 2/10, n/30, with prepaid freight of $810 added to the invoice.
6 Returned $13,500 ($18,000 list price less trade discount of 25%) of merchandise purchased on November 3 from Moonlight Co.
8 Sold merchandise on account to Quinn Co., $15,600 with terms n/15. The cost of the merchandise sold was $9,400.
13 Paid Moonlight Co. on account for purchase of November 3, less return of November 6.
14 Sold merchandise on VISA, $236,000. The cost of the merchandise sold was $140,000.
15 Paid Papoose Creek Co. on account for purchase of November 5.
23 Received cash on account from sale of November 8 to Quinn Co..
24 Sold merchandise on account to Rabel Co., $56,900, terms 1/10, n/30. The cost of the merchandise sold was $34,000.
28 Paid VISA service fee of $3,540.
30 Paid Quinn Co. a cash refund of $6,000 for returned merchandise from sale of November 8. The cost of the returned merchandise was $3,300.

Journalize the entries to record the transactions of Babcock Company for November using the periodic inventory system. Refer to the Chart of Accounts for exact wording of account titles.

Chart of Accounts

CHART OF ACCOUNTS
Babcock Company
General Ledger
ASSETS
110 Cash
121 Accounts Receivable-Quinn Co.
122 Accounts Receivable-Rabel Co.
125 Notes Receivable
130 Merchandise Inventory
131 Estimated Returns Inventory
140 Office Supplies
141 Store Supplies
142 Prepaid Insurance
180 Land
192 Store Equipment
193 Accumulated Depreciation-Store Equipment
194 Office Equipment
195 Accumulated Depreciation-Office Equipment
LIABILITIES
211 Accounts Payable-Moonlight Co.
212 Accounts Payable-Papoose Creek Co.
216 Salaries Payable
218 Sales Tax Payable
219 Customers Refunds Payable
221 Notes Payable
EQUITY
310 Owner, Capital
311 Owner, Drawing
312 Income Summary
REVENUE
410 Sales
610 Interest Revenue
EXPENSES
510 Purchases
511 Purchases Returns and Allowances
512 Purchases Discounts
513 Freight In
521 Delivery Expense
522 Advertising Expense
524 Depreciation Expense-Store Equipment
525 Depreciation Expense-Office Equipment
526 Salaries Expense
531 Rent Expense
533 Insurance Expense
534 Store Supplies Expense
535 Office Supplies Expense
536 Credit Card Expense
539 Miscellaneous Expense
710 Interest Expense

In: Accounting

What are the five main differences between a Income statement that is produced by a for-profit...

What are the five main differences between a Income statement that is produced by a for-profit company versus a local government Statements of Revenue, Expenditures and Changes in Fund Balances?

In: Accounting

The Farr-Kroger Classic is a women’s professional golf tournament played each year in Ohio. Listed below...

The Farr-Kroger Classic is a women’s professional golf tournament played each year in Ohio. Listed below are the total purse winnings (the amount of money that is distributed to the top golfers) and the prize for the winner for the 15 years from 1991 through 2005. The operators of this golf tournament believe that there is a relationship between the purse winnings and the prize and the prize is related to the purse winnings. In addition to the data provided, some of the possible linear regression relationships are provided.   These might be of help in your analysis.

Year Purse Winnings Prize Ind Var Year SUMMARY OUTPUT
1991 $225,000 $33,750 Dep var Purse Winnings
1992 $275,000 $41,250 Regression Statistics
1993 $325,000 $41,250 Multiple R 0.969387633
1994 $325,000 $48,750 R Square 0.939712382
1995 $350,000 $52,500 Adjusted R Square 0.935074873
1996 $400,000 $60,000 Standard Error 65072.5152
1997 $450,000 $67,500 Observations 15
1998 $500,000 $75,000
1999 $500,000 $75,000 ANOVA
2000 $575,000 $86,250 df SS MS F Significance F
2001 $700,000 $105,000 Regression 1 8.58036E+11 8.58036E+11 202.6330017 2.62887E-09
2002 $800,000 $120,000 Residual 13 55047619048 4234432234
2003 $800,000 $120,000 Total 14 9.13083E+11
2004 $1,000,000 $150,000
2005 $1,000,000 $150,000 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept -110055238.1 7769893.698 -14.16431709 2.79418E-09 -126841072.9 -93269403.32 -126841072.9 -93269403.32
Regression Relationship Independent Variable Dependent Variable Value of b Value of a Coefficent of Determination, r2 Year 55357.14286 3888.826592 14.23492191 2.62887E-09 46955.84379 63758.44192 46955.84379 63758.44192
Regression 1 Year Purse Winnings 55,357.14 -110,055,238.10 0.94
Regression 2 Purse Winnings Prize 0.15 -1,505.89 1.00
Regression 3 Prize Purse Winnings 6.57 11,179.24 1.00
Regression 4 Prize Year 0.00 1,988.85 0.94 Ind Var Purse Winnings SUMMARY OUTPUT
Regression 5 Year Prize 8,437.50 -16,776,375.00 0.94 Dep var Prize
Regression Statistics
a)      x = $996,430 Multiple R 0.998828015
y = -1505.89 + 0.15x = $149,786.51 R Square 0.997657404
Adjusted R Square 0.997477205
b)     x = 2006 Standard Error 1949.897566
y = -110055238.10 + 55357.14x = $991,190.48 Observations 15
ANOVA
df SS MS F Significance F
Regression 1 21049947693 21049947693 5536.399574 1.7382E-18
Residual 13 49427306.74 3802100.519
Total 14 21099375000
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept -1505.886648 1226.975151 -1.227316337 0.241465598 -4156.605301 1144.832005 -4156.605301 1144.832005
Purse Winnings 0.151834444 0.002040594 74.40698606 1.7382E-18 0.147426009 0.156242879 0.147426009 0.156242879
Ind Var Prize SUMMARY OUTPUT
Dep var Purse Winnings
Regression Statistics
Multiple R 0.998828015
R Square 0.997657404
Adjusted R Square 0.997477205
Standard Error 12827.21014
Observations 15
ANOVA
df SS MS F Significance F
Regression 1 9.10944E+11 9.10944E+11 5536.399574 1.7382E-18
Residual 13 2138985160 164537320
Total 14 9.13083E+11
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 11179.24109 7942.610888 1.407502048 0.182737687 -5979.726488 28338.20867 -5979.726488 28338.20867
Prize 6.57069226 0.088307464 74.40698606 1.7382E-18 6.379915582 6.761468937 6.379915582 6.761468937
Ind Var Prize SUMMARY OUTPUT
Dep var Year
Regression Statistics
Multiple R 0.971981516
R Square 0.944748067
Adjusted R Square 0.940497919
Standard Error 1.090890292
Observations 15
ANOVA
df SS MS F Significance F
Regression 1 264.5294588 264.5294588 222.2858866 1.48781E-09
Residual 13 15.47054119 1.19004163
Total 14 280
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 1988.846441 0.675479471 2944.347723 3.02269E-39 1987.387156 1990.305726 1987.387156 1990.305726
Prize 0.00011197 7.51011E-06 14.90925507 1.48781E-09 9.57455E-05 0.000128195 9.57455E-05 0.000128195
Ind Var Year SUMMARY OUTPUT
Dep var Prize
Regression Statistics
Multiple R 0.971981516
R Square 0.944748067
Adjusted R Square 0.940497919
Standard Error 9469.713869
Observations 15
ANOVA
df SS MS F Significance F
Regression 1 19933593750 19933593750 222.2858866 1.48781E-09
Residual 13 1165781250 89675480.77
Total 14 21099375000
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept -16776375 1130718.09 -14.83692102 1.57972E-09 -19219142.92 -14333607.08 -19219142.92 -14333607.08
Year 8437.5 565.9236469 14.90925507 1.48781E-09 7214.896294 9660.103706 7214.896294 9660.103706

Using linear regression relationships, answer the questions a) through c) below and on the following page.

a) Develop a projection for the amount of the prize for the winner for the year 2008 if the purse winnings for that year are projected to be $996,430. As part of your answer, include the independent and dependent variables and the accompanying linear regression relationship.

b) Now let’s suppose that we believe the prize for the winner is a function of time (dependent on time). Given this belief, develop a projection for the amount of the prize for the winner for the year 2008 and discuss your results compared to what you found in part a)

c) Would you recommend using the forecasts you found in parts a) and b) based on the strengths of the relationship? Why?

In: Operations Management