Discuss in detail the motivators and determinants for customers of Ragdale Hall
In: Economics
Amicable Wireless, Inc. offers credit terms of 2/10, net 30 for its customers. Sixty percent of Amicable's customers take the 2% discount and pay on day 10. The remainder of Amicable's customers pay on day 30. How many days' sales are in Amicable's accounts receivable?
In: Accounting
The goal of customer relationship management is to: manage every customer relationship differently. manage every customer relationship to maximize short-term profitability. eliminate customers who are profitable, but not highly profitable. identify and build loyalty among a firm's most valued customers. generate relationships with competitor's customers.
In: Operations Management
Interpreting the Accounts Receivable Footnote
Hewlett-Packard Company reports the following in its 2015 10-K
report.
| October 31 (in millions) |
2015 |
2014 |
|---|---|---|
| Accounts receivable | $13,363 | $13,832 |
Footnotes to the company's 10-K provide the following additional
information relating to its allowance for doubtful accounts.
| For the fiscal years ended October
31 (in millions) |
2015 |
2014 |
2013 |
|---|---|---|---|
| Allowance for doubtful accounts-accounts receivable | |||
| Balance, beginning of period | $232 | $332 | $464 |
| Provision for doubtful accounts | 46 | 25 | 23 |
| Deductions, net of recoveries | (89) | (125) | (155) |
| Balance, end of period | $189 | $232 | $332 |
(a) What is the gross amount of accounts receivables for
Hewlett-Packard in fiscal 2015 and 2014?
| ($ millions) | 2015 | 2014 |
|---|---|---|
| Gross accounts receivable | Answer | Answer |
(b)What is the percentage of the allowance for doubtful accounts to
gross accounts receivable for 2015 and 2014? (Round your answers to
two decimal places.)
| ($ millions) | 2015 | 2014 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Percentage of uncollectible accounts to gross accounts
receivable(d)Compute Hewlett-Packard's write-offs as a percentage
of the allowance account at the beginning of the year. (Round your answers to two decimal places) 2015 write-offs as a percentage of beginning of year allowance: Answer % 2014 write-offs as a percentage of beginning of year allowance: Answer % 2. Revenue Recognition: We generally recognize sales, net of estimated returns, at the time the member takes possession of merchandise or receives services. When we collect payment from customers prior to the transfer of ownership of merchandise or the performance of services, the amount recieved is generally recorded as deferred revenue on the consolidated balance sheets until the sales or service is completed. Membership fee revenue represents annual membership fees paid by our memberships. We account for membership fee revenue, net of estimated refunds, on a deferred basis, whereby revenue is recognized ratably over the one-year membership period.
(b) Use the balance sheet information on Costco's Deferred Membership Fees liability account and its income statement revenues related to Membership Fees earned during 2016 to compute the cash that Costco received during 2016 for membership fees. Total cash received (in $ millions) = $Answer
|
Answer % | Answer % | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In: Accounting
Q1. Which of the following statements is true? [1 mark]
Q2. Which of the following statements is true? [1 mark]
B. Closing entries are designed to transfer the end-of-period balances in the revenue accounts, the expense accounts, and the withdrawals account to owner's capital.
C. Closing entries are required at the end of each accounting period to close all ledger accounts.
D. Asset, liability, and revenue accounts are not closed while a company continues in business.
E. The income summary account is used during the adjusting process to hold revenue, expenses, and withdrawals, before the net difference is added to or subtracted from the owner’s capital.
Q3. Which of the following statements is false? [1 mark]
Q4. Which of the following is true? [1 mark]
In: Accounting
The following scenario is to be used to complete Case Study 2 – Regression Analysis. Please create your output in Excel, Copy it to Microsoft Word and answer the questions below. Everything should be in one word file. Please copy and paste the excel output created as the last page of the assignment, after the answers to the questions.
The owner of Showtime Movie Theaters, Inc., would like to estimate weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follows.
|
Weekly Gross Revenue ($1000s) |
Television Advertising ($1000s) |
Newspaper Advertising ($1000) |
|
96 |
5.0 |
1.5 |
|
90 |
2.0 |
2.0 |
|
95 |
4.0 |
1.5 |
|
92 |
2.5 |
2.5 |
|
95 |
3.0 |
3.3 |
|
94 |
3.5 |
2.3 |
|
94 |
2.5 |
4.2 |
|
94 |
3.0 |
2.5 |
How many independent variables are there?
3 independent variables
List and label each independent variable (x?, x?, etc.)
X1 = Weekly gross revenue
X2= Television Advertising
X3= Newspaper advertising
Develop a simple linear regression equation using ONLY the amount of television as the independent variable. (Include this output)
Develop a simple linear regression equation using ONLY the newspaper advertising as the independent variable. (Include this output)
Develop a multiple regression equation using the amount of television and newspaper advertising as the independent variables. (Include this output)
Answer the following questions based on the multiple regression output ONLY!!
What is the proportion of variation in Weekly Gross Revenue due to television advertising and newspaper advertising?
What is the strength of the linear relationship between the amount of television, newspaper advertising and weekly gross revenue?
List the SSR, SSE, SST, MSR, MSE.
Give the value of F.
What is the p value for this regression model? P = (two decimal places)
Is this model useful? If so, why and if not, why not. If the model is useful, proceed to question 12.
If the model is useful, estimate the weekly gross revenue for a week when $3500 is spent on television advertising and $1800 is spent on newspaper advertising?
Are each of the variables good for the model? List their p values and explain your answer.
Need assistance on answering please
In: Statistics and Probability
3. Relationship between tax revenues, deadweight loss, and demandelasticity
The government is considering levying a tax of $100 per unit on suppliers of either leather jackets or smartphones. The supply curve for each of these two goods is identical, as you can see on each of the following graphs. The demand for leather jackets is shown by DLDL (on the first graph), and the demand for smartphones is shown by DSDS (on the second graph).
Suppose the government taxes leather jackets. The following graph shows the annual supply and demand for this good. It also shows the supply curve (S+TaxS+Tax) shifted up by the amount of the proposed tax ($100 per jacket).
On the following graph, use the green rectangle (triangle symbols) to shade the area that represents tax revenue for leather jackets. Then use the black triangle (plus symbols) to shade the area that represents the deadweight loss associated with the tax.
Leather Jackets MarketTax RevenueDeadweight Loss050100150200250300350400450500550600240220200180160140120100806040200PRICE (Dollars per jacket)QUANTITY (Jackets)DLSupplyS+Tax
Instead, suppose the government taxes smartphones. The following graph shows the annual supply and demand for this good, as well as the supply curve shifted up by the amount of the proposed tax ($100 per phone).
On the following graph, do for smartphones the same thing you did previously on the graph for leather jackets. Use the green rectangle (triangle symbols) to shade the area that represents tax revenue for smartphones. Then, use the black triangle (plus symbols) to shade the area that represents the deadweight loss associated with the tax.
Smartphones MarketTax RevenueDeadweight Loss050100150200250300350400450500550600240220200180160140120100806040200PRICE (Dollars per phone)QUANTITY (Phones)DSSupplyS+Tax
Complete the following table with the tax revenue collected and deadweight loss caused by each of the tax proposals.
|
If the Government Taxes... |
Tax Revenue |
Deadweight Loss |
|---|---|---|
|
(Dollars) |
(Dollars) |
|
| Leather jackets at $100 per jacket | ||
| Smartphones at $100 per phone |
Suppose the government wants to tax the good that will generate more tax revenue at a lower welfare cost. In this case, it should tax because, all else held constant, taxing a good with a relatively elastic demand generates larger tax revenue and smaller deadweight loss.
In: Economics
1. Convert the following code shown below to C++ code:
| public class HighwayBillboard { |
| public int maxRevenue(int[] billboard, int[] revenue, int distance, int milesRes) { |
| int[] MR = new int[distance + 1]; |
| //Next billboard which can be used will start from index 0 in billboard[] |
| int nextBillBoard = 0; |
| //example if milesRes = 5 miles then any 2 bill boards has to be more than |
| //5 miles away so actually we can put at 6th mile so we can add one mile milesRes |
| milesRes = milesRes + 1; // actual minimum distance can be between 2 billboards |
| MR[0] = 0; |
| for (int i = 1; i <= distance; i++) { |
| //check if all the billboards are not already placed |
| if(nextBillBoard < billboard.length){ |
| //check if we have billboard for that particular mile |
| //if not then copy the optimal solution from i-1th mile |
| if (billboard[nextBillBoard] != i) { |
| //we do not have billboard for this particular mile |
| MR[i] = MR[i - 1]; |
| } else { |
| //we do have billboard for this particular mile |
| //now we have 2 options, either place the billboard or ignore it |
| //we will choose the optimal solution |
| if(i>=milesRes){ |
| MR[i] = Math.max(MR[i - milesRes] + revenue[nextBillBoard], MR[i - 1]); |
| }else{ |
| //there are no billboard placed prior to ith mile |
| //we will just place the billboard |
| MR[i] = revenue[nextBillBoard]; |
| } |
| nextBillBoard++; |
| } |
| }else{ |
| //All the billboards are already placed |
| //for rest of the distance copy the previous optimal solution |
| MR[i] = MR[i - 1]; |
| } |
| } |
| //System.out.println(Arrays.toString(MR)); |
| return MR[distance]; |
| } |
| public static void main(String[] args) { |
| int[] x = {6, 7, 12, 13, 14}; |
| int[] revenue = {5, 6, 5, 3, 1}; |
| int distance = 20; |
| int milesRestriction = 5; |
| HighwayBillboard h = new HighwayBillboard(); |
| int result = h.maxRevenue(x, revenue, distance, milesRestriction); |
| System.out.println("Maximum revenue can be generated :" + result); |
| } |
| } |
In: Computer Science
A psychologist conducted an experiment analysing the relationship between student scores in an exam and the amount of attention they paid in class. The latter was measured using a type of brain monitor. The Psychologist believed that scores would increase by 1 for every two unit increase in attention. The data are listed in the excel spreadsheet.
Estimate a linear regression between the score (Y) and the measure of attention(X).
(a) Write out the equation for Y in the form , but with coefficients. Show the estimated standard errors in parenthesis below the coefficients. What is the R2 of the regression? Calculate a 99 percent confidence interval for β. [5 pts]
(b) What are the mean and the estimated standard deviation of the estimated residuals? [2 pts]
Hint: the first answer is definitional and the second answer is easily seen from the output.
(c )Test the hypothesis that there is no relationship between the variables at the 90 percent significance level. [3 pts]
(d) Test the hypothesis that the coefficient β=0.5 at the 99% significance level. [3 pts]
(e) The Psychologist concluded from the experiment that test scores increase significantly if students pay attention in class. In one word, how would you describe the results of this experiment based on the data you have? [2 pts]
DATA:
| Regression data for Psychology Experiment | |||
| Attention | Score | ||
| 18 | 80 | ||
| 35 | 90 | ||
| 86 | 80 | ||
| 22 | 50 | ||
| 72 | 76 | ||
| 102 | 74 | ||
| 86 | 75 | ||
| 30 | 80 | ||
| 35 | 85 | ||
| 94 | 82 | ||
| 16 | 80 | ||
| 42 | 41 | ||
| 50 | 50 | ||
| 96 | 96 | ||
| 60 | 80 | ||
| 106 | 70 | ||
| 80 | 65 | ||
| 14 | 14 | ||
| 11 | 14 | ||
| 80 | 85 | ||
| 12 | 14 | ||
| 37 | 43 | ||
| 26 | 80 | ||
| 86 | 70 | ||
| 5 | 20 | ||
| 17 | 20 | ||
| 35 | 80 | ||
| 76 | 68 | ||
| 50 | 70 | ||
| 15 | 16 | ||
| 90 | 86 | ||
| 96 | 80 | ||
| 7 | 16 | ||
| 10 | 14 | ||
| 35 | 65 | ||
| 88 | 88 | ||
| 20 | 32 | ||
| 22 | 70 | ||
| 50 | 65 | ||
| 22 | 62 | ||
| 35 | 50 | ||
| 64 | 92 | ||
| 68 | 84 | ||
| 13 | 15 | ||
| 102 | 102 | ||
| 86 | 85 | ||
| 18 | 24 | ||
| 78 | 64 | ||
| 98 | 78 | ||
| 70 | 80 | ||
| 60 | 70 | ||
| 98 | 98 | ||
| 9 | 14 | ||
| 50 | 90 | ||
| 104 | 72 | ||
| 35 | 45 | ||
| 60 | 60 | ||
| 74 | 72 | ||
| 88 | 88 | ||
| 80 | 95 | ||
| 22 | 58 | ||
| 8 | 14 | ||
| 86 | 110 | ||
| 60 | 75 | ||
| 92 | 84 | ||
| 60 | 100 | ||
| 80 | 75 | ||
| 86 | 95 | ||
| 16 | 18 | ||
| 86 | 90 | ||
| 35 | 75 | ||
| 35 | 60 | ||
| 80 | 60 | ||
| 80 | 70 | ||
| 104 | 104 | ||
| 80 | 100 | ||
| 60 | 90 | ||
| 86 | 100 | ||
| 62 | 96 | ||
| 60 | 65 | ||
| 39 | 41 | ||
| 50 | 80 | ||
| 50 | 75 | ||
| 6 | 18 | ||
| 60 | 95 | ||
| 22 | 54 | ||
| 21 | 40 | ||
| 100 | 100 | ||
| 94 | 94 | ||
| 80 | 90 | ||
| 48 | 41 | ||
| 106 | 106 | ||
| 50 | 43 | ||
| 46 | 41 | ||
| 90 | 90 | ||
| 60 | 85 | ||
| 92 | 92 | ||
| 22 | 80 | ||
| 35 | 70 | ||
| 66 | 88 | ||
| 80 | 60 | ||
| 50 | 60 | ||
| 80 | 80 | ||
| 100 | 76 | ||
| 50 | 45 | ||
| 86 | 65 | ||
| 19 | 28 | ||
| 50 | 85 | ||
| 22 | 75 | ||
| 86 | 105 | ||
In: Statistics and Probability
A 0.500 g sample containing Ag2O and inert material is heated, causing the silver oxide to decompose according to the following equation:
2 Ag2O(s) → 4 Ag(s) + O2(g)
If 13.8 mL of gas are collected over water at 27°C and 1.00 atm external pressure, what is the percentage of silver oxide in the sample? The partial pressure of water is 26.7 mm Hg at 27°C.
a.) 25.1%
b.) 51.9%
c.)12.5%
d.) 50.1%
In: Chemistry