On February 13, GTS Co. paid $2,300 to repair the transmission on one of its delivery vans. In addition, GTS paid $36 to install a GPS system in its van. Question Content Area Journalize the entries for the transmission. If an amount box does not require an entry, leave it blank. Date Account Debit Credit February 13 Feedback Area Feedback Question Content Area Journalize the entry for GPS system expenditures. If an amount box does not require an entry, leave it blank. Date Account Debit Credit February 13
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On February 13, GTS Co. paid $2,300 to repair the transmission on one of its delivery vans. In addition, GTS paid $36 to install a GPS system in its van.
Question Content Area
Journalize the entries for the transmission. If an amount box does not require an entry, leave it blank.
Date | Account | Debit | Credit |
---|---|---|---|
February 13 |
|
||
|
Feedback Area
Question Content Area
Journalize the entry for GPS system expenditures. If an amount box does not require an entry, leave it blank.
Date | Account | Debit | Credit |
---|---|---|---|
February 13 |
|
||
|
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- You are a member of the audit team of BSA and Co. examining the accounts of TOK Manufacturing for the year ended December 31, 2020. BSA has audited TOK for the past 5 years. You have been assigned the task of searching for unrecorded liabilities. You have determined that all payroll taxes, income and property taxes, sales taxes, and interest have been properly reflected by TOK. In addition, you have obtained the following copy of TOK's 12/31/20 adjusting journal entry to reflect other unrecorded liabilities at year-end: Raw materials inventory Utilities expense 23,675 6.400 Professional fees 33,690 Manufacturing supplies Accounts payable To record the following invoices unpaid at 12/31/20: Fox Manufacturing 8,900 72,665 P23,675 2,760 Consolidated Gas Meralco Andersen (consulting) Luzmin Suppliers Deli Products 3,640 33,690 7,700 1,200 Although the Luzmin Suppliers invoice was received in December, the supplies were shipped to TOK on January 2 and received on January 4.Penny is compiling a list of costs incurred so far on a project. She must categorize these costs so that she can present the amount of direct cost incurred. Which of the following should Penny include in this list?This type of question contains radio buttons and checkboxes for selection of options. Use Tab for navigation and Enter or space to select the option. option A Expense incurred in meeting the regulatory standards for the company option B Benefits for employees in the organization option C Travel expenses to the customer’s office option D Costs incurred for maintaining coffee stations around the office.The following represents the financial information for Plaza Plastics for May and June: Sales revenue Costs Scrap Process inspection Quality training Product testing equipment Field testing Warranty repairs Rework Preventive maintenance Legal expense for warranty claims. Materials inspection Required A May $ 843,000 Required B Scrap $ 2,160 3,040 23,940 5,340 8,580 3,540 19,940 16,380 7,980 11,460 Required: a. Classify these items into Prevention, Appraisal, Internal failure, or External failure costs. b. Calculate the ratio of the prevention, appraisal, internal failure, and external failure costs to sales for May and June. Activity Complete this question by entering your answers in the tabs below. June $ 636,000 $ 1,870 1,920 11,880 4,500 6,480 3,240 16,830 8,730 4,500 11,340 Classify these items into Prevention, Appraisal, Internal failure, or External failure costs. Category
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- Johnson Filtration. Inc., provides maintenance service for water filtration systems throughout southern Florida. Customers contact Johnson with requests for maintenance service on their water filtration systems. To estimate the service time and the service cost. Johnson’s managers want to predict the repair time necessary for each maintenance request. Hence, repair time in hours is the dependent variable. Repair time is believed to be related to three factors: the number of months since the last maintenance service, the type of repair problem (mechanical or electrical), and the repairperson who performs the repair (Donna Newton or Bob Jones). Data for a sample of 10 service calls are reported in the following table: Develop the simple linear regression equation to predict repair time given the number of months since the last maintenance service, and use the results to test the hypothesis that no relationship exists between repair time and the number of months since the last maintenance service at the 0.05 level of significance. What is the interpretation of this relationship? What does the coefficient of determination tell you about this model? Using the simple linear regression model developed in part (a), calculate the predicted repair time and residual for each of the 10 repairs in the data. Sort the data in ascending order by value of the residual. Do you see any pattern in the residuals for the two types of repair? Do you see any pattern in the residuals for the two repairpersons? Do these results suggest any potential modifications to your simple linear regression model? Now create a scatter chart with months since last service on the x-axis and repair time in hours on the y-axis for which the points representing electrical and mechanical repairs are shown in different shapes and/or colors. Create a similar scatter chart of months since last service and repair time in hours for which the points representing repairs by Bob Jones and Donna Newton are shown in different shapes and/or colors. Do these charts and the results of your residual analysis suggest the same potential modifications to your simple linear regression model? Create a new dummy variable that is equal to zero if the type of repair is mechanical and one if the type of repair is electrical. Develop the multiple regression equation to predict repair time, given the number of months since the last maintenance service and the type of repair. What are the interpretations of the estimated regression parameters? What does the coefficient of determination tell you about this model? Create a new dummy variable that is equal to zero if the repairperson is Bob Jones and one if the repairperson is Donna Newton. Develop the multiple regression equation to predict repair time, given the number of months since the last maintenance service and the repairperson. What are the interpretations of the estimated regression parameters? What does the coefficient of determination tell you about this model? Develop the multiple regression equation to predict repair time, given the number of months since the last maintenance service, the type of repair, and the repairperson. What are the interpretations of the estimated regression parameters? What does the coefficient of determination tell you about this model? Which of these models would you use? Why?Data Recovery Services (DRS) specializes in data recovery from crashed hard drives. The price charged varies based on the extent of damage and the amount of data being recovered. DRS offers a 15% discount to students and faculty at educational institutions. Consider the following transactions during the month of June. June 10 Rashid’s hard drive crashes and he sends it to DRS. June 12 After initial evaluation, DRS e-mails Rashid to let him know that full data recovery will cost $2,200. June 13 Rashid informs DRS that he would like them to recover the data and that he is a student at UCLA, qualifying him for a 15% educational discount and reducing the cost by $330 ( = $2,200 × 15%). June 16 DRS performs the work and claims to be successful in recovering all data. DRS asks Rashid to pay within 30 days of today’s date, offering a 4% discount for payment within 10 days. June 19 When Rashid receives the hard drive, he notices that DRS did not successfully recover all data.…Data Recovery Services (DRS) specializes in data recovery from crashed hard drives. The price charged varies based on the extent of damage and the amount of data being recovered. DRS offers a 10% discount to students and faculty at educational institutions.Consider the following transactions during the month of June.June 10 Rashid’s hard drive crashes and he sends it to DRS.June 12 After initial evaluation, DRS e-mails Rashid to let him know that full data recovery will cost $3,000.June 13 Rashid informs DRS that he would like them to recover the data and that he is a student at UCLA, qualifying him for a 10% educational discount and reducing the cost by $300 (= $3,000 × 10%).June 16 DRS performs the work and claims to be successful in recovering all data. DRS asks Rashid to pay within 30 days of today’s date, offering a 2% discount for payment within 10 days.June 19 When Rashid receives the hard drive, he notices that DRS did not successfully recover all data. Approximately 30% of the…
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