BLC offers its customers two lawn maintenance services. One service is for a one-year maintenance plan at a cost of $180. Customers can earn a 5% discount from this price if they pay before BLC’s calendar fiscal year for maintenance services to be performed in the following year. The second service offered by BLC is a three-year maintenance plan that sells for $500. The first year’s maintenance service for this three-year plan will be delivered before BLC’s fiscal year end. No discount for early payment is offered for the second plan.

a) Prepare the summary journal entry for the cash sale of 180 one-time plans for the current year, 100 discounted one-time plans for the following year, and 280 three-year maintenance plans.

b) Determine the statement of financial position (SFP) classification of the unearned portion of the revenue collected.

Current portion of the unearned revenue		$
Non-current portion of the unearned revenue

Rogalas foods inc, was formed in 2015 with the merger of Grouch mayer and tashamo corporation. the company reported the following rounded amounts for the year ended January 3, 2016

   debit credit

Amount receivable    1070

allowance for doubtful accounts 32

sales ( assume all on credit ) 17800

requeried

1) Assume Rogala uses 1/2 of 1 percent of sales to estimate its bad debts expense for the year. Prepare the adjusting journal entry required for the year, assuming not bad debt expense has been recorded yet.

2) Assume instead Rogala uses the aging of account receivable method and estimates that 74 of its accounts receivable will be uncollectible. prepare the adjusting journal entry required at January 3,2016 for recording bad debt expense

3) Assume instead rogala's uses the aging of account receivable method and estimates that 74 of its accounts receivable will be uncollectible. prepaid the year-end adjusting journal entry for recording bad debt expense assuming rogalas unadjusted balance in allowance for doubtful accounts at January 3,2016 was a debit balance of 35

4) if one of Rogalas costumers declared bankruptcy, what journal entry will be used to write off its 20 balance

Consider the market for health insurance. Suppose there are three people. Healthy Hal, Average Al,
and Portly Pete. All three of these people will buy health insurance if it costs less than or equal to his
actuarily fair insurance rate. Hal's true cost to insure is $5,000, Al's true cost to insure is $10,000, and
Pete's true cost is $15,000.
a) Suppose the insurance company must offer a single policy to all customers, and it tries to be fair by
averaging the costs of its three customers. What premium will it charge? Who will choose to buy
insurance at that price?
b) Observing who has actually purchased a policy, the insurance company decides to adjust its
premium to be the average cost of the observed customers in part (a). What premium will it charge?
Which customers will buy insurance at this price?
c) Once again, the insurance company observes who actually purchased insurance, and decides to
adjust its premium to the average cost of its observed customers in part (b). What premium will
charge? Which customers will buy insurance at this price? Is this market efficient? If not, suggest
some mechanism that might improve its efficiency.

For part (a), 1/3(5000+10000+15000)=10000? Al and Pete will buy
For part (b), 1/2(10000+15000)=125000; Pete will buy. The market is not efficient.
For part (c), 15000; Pete will buy
Am I right for the answers? And what will be the mechanisms to improve the market?
Thanks.

The following situations relate to Washburn Company.

1. Washburn provides a warranty with all its products it sells. It estimates that it will sell 1,200,000 units of its product for the year ended December 31, 2019, and that its total revenue for the product will be €100,000,000. It also estimates that 60% of the product will have no defects, 40% will have defects. The cost of a defect is estimated to be $10 for each product repaired.

2. Washburn is involved in a tax dispute with the tax authorities. The most likely outcome of this dispute is that Washburn will lose and have to pay €500,000. The minimum it will lose is €25,000 and the maximum is €3,000,000.

3. In August, 2019 a worker was injured in the factory in an accident partially the result of his own negligence. The worker has sued Washburn Co. for €800,000. Counsel believes it is possible but not probable that the outcome of the suit will be unfavorable and that the settlement would cost the company €250,000.

4. Washburn has a policy of refunding purchases to dissatisfied customers, even though it is under no obligation to do so. However, it has created a valid expectation with its customers to continue this practice. These refunds is estimated to be 5% of sales. In 2019, Washburn has €50,000,000 of sales subject to possible refund.

Instructions

1. Classify whether the transactions above is PROVISIONS or CONTINGENT LIABILITES.
2. Please indicate the accounting procedure whether the transactions above need to

1. Adjust and Disclose or

2. Disclose or

3. Neither adjust nor disclose.

3. If the above requirements need to adjust and disclose, prepare the journal entry to adjust the transactions with workings for Washburn at December 31, 2019.

(Note: Please write the following heading in the table of your worksheet.)

Transaction	(1) Provision / Contingent Liabilities	(2) Adjust and Disclose or Disclose or Neither Adjust nor Disclose
1.
2.
3.
4.

          

DEHS Data Set for Assessment Projects
INTD 5064 Applied Statistics for Health Care Practitioners
CI Subjects
Subject ID	Group	Gender	Mode of Communication	ESP-Pre	TL-Pre	AC-Pre	EC-Pre		ESP Post	CLS-Post	RLI-Post	ELI-Post	LCI-Post	LSI-Post	GF-Post
C01	1	1	1	1	86	89	95		3	95	96	99	90	88	101
C02	1	2	1	1	82	85	85		3	85	89	87	83	78	89
C03	1	1	1	1	85	78	80		3	90	92	88	88	84	85
C04	1	1	1	2	81	81	82		2	80	88	84	79	76	105
C05	1	2	1	1	92	95	100		4	100	100	95	98	104	82
C06	1	1	1	1	79	80	72		4	92	94	90	92	82	90
C07	1	1	1	1	78	80	74		3	84	88	79	86	80	80
C08	1	2	1	1	111	115	102		3	120	122	112	109	110	102
C09	1	1	1	2	87	89	79		4	88	92	87	87	82	82
C10	1	2	1	2	99	98	89		4	100	98	90	104	106	95
C11	1	1	1	1	67	69	68		3	79	84	82	70	78	77
C12	1	2	2	1	102	100	98		2	95	98	93	96	90	82
C13	1	1	2	1	74	74	70		2	70	72	70	71	68	74
C14	1	2	2	1	68	65	70		1	67	69	66	65	68	70
C15	1	1	2	1	95	90	101		2	90	92	88	85	95	87
C16	1	1	2	1	75	77	76		2	72	75	70	74	68	69
Non CI Subjects
Subject ID	Group	Gender	Mode of Communication	ESP-Pre	TL-Pre	AC-Pre	EC-Pre		ESP Post	CLS-Post	RLI-Post	ELI-Post	LCI-Post	LSI-Post	GF-Post
S01	2	2	2	1	95	89	100		2	93	89	85	100	92	82
S02	2	1	2	1	87	85	95		1	80	83	82	80	78	70
S03	2	2	2	2	76	78	80		1	78	72	70	77	80	65
S04	2	1	2	1	75	73	72		2	73	71	72	75	72	68
S05	2	1	2	1	79	78	80		1	80	70	72	85	81	63
S06	2	1	2	1	77	78	74		1	75	77	68	85	70	71
S07	2	1	2	1	78	80	72		2	72	75	70	72	69	60
S08	2	2	2	1	77	81	75		1	80	89	73	75	78	65
S09	2	1	2	1	87	88	84		1	80	84	80	75	80	68
S10	2	1	2	1	89	98	82		3	90	100	85	85	85	78
S11	2	2	2	1	90	94	92		1	85	90	82	79	87	72
S12	2	1	2	1	73	78	72		1	70	74	67	79	68	66
S13	2	2	2	1	74	74	75		1	70	72	69	67	75	67
S14	2	2	2	1	68	65	68		2	62	60	61	67	60	55
S15	2	1	2	1	75	74	72		1	71	77	67	75	71	70
S16	2	1	2	1	74	77	73		1	77	74	68	80	72	65

7. Trautwein and Ammerman are curious how the CI group compares to the norm on CLS at the end of the study.

a. What inferential test should the researchers use? Why?

b. What are the independent and dependent variables?

           

c. Using the A-B-C-D format used in class, answer Drs. Trautwein and Ammerman’s research question.

DEHS Data Set for Assessment Projects
INTD 5064 Applied Statistics for Health Care Practitioners
CI Subjects
Subject ID	Group	Gender	Mode of Communication	ESP-Pre	TL-Pre	AC-Pre	EC-Pre		ESP Post	CLS-Post	RLI-Post	ELI-Post	LCI-Post	LSI-Post	GF-Post
C01	1	1	1	1	86	89	95		3	95	96	99	90	88	101
C02	1	2	1	1	82	85	85		3	85	89	87	83	78	89
C03	1	1	1	1	85	78	80		3	90	92	88	88	84	85
C04	1	1	1	2	81	81	82		2	80	88	84	79	76	105
C05	1	2	1	1	92	95	100		4	100	100	95	98	104	82
C06	1	1	1	1	79	80	72		4	92	94	90	92	82	90
C07	1	1	1	1	78	80	74		3	84	88	79	86	80	80
C08	1	2	1	1	111	115	102		3	120	122	112	109	110	102
C09	1	1	1	2	87	89	79		4	88	92	87	87	82	82
C10	1	2	1	2	99	98	89		4	100	98	90	104	106	95
C11	1	1	1	1	67	69	68		3	79	84	82	70	78	77
C12	1	2	2	1	102	100	98		2	95	98	93	96	90	82
C13	1	1	2	1	74	74	70		2	70	72	70	71	68	74
C14	1	2	2	1	68	65	70		1	67	69	66	65	68	70
C15	1	1	2	1	95	90	101		2	90	92	88	85	95	87
C16	1	1	2	1	75	77	76		2	72	75	70	74	68	69
Non CI Subjects
Subject ID	Group	Gender	Mode of Communication	ESP-Pre	TL-Pre	AC-Pre	EC-Pre		ESP Post	CLS-Post	RLI-Post	ELI-Post	LCI-Post	LSI-Post	GF-Post
S01	2	2	2	1	95	89	100		2	93	89	85	100	92	82
S02	2	1	2	1	87	85	95		1	80	83	82	80	78	70
S03	2	2	2	2	76	78	80		1	78	72	70	77	80	65
S04	2	1	2	1	75	73	72		2	73	71	72	75	72	68
S05	2	1	2	1	79	78	80		1	80	70	72	85	81	63
S06	2	1	2	1	77	78	74		1	75	77	68	85	70	71
S07	2	1	2	1	78	80	72		2	72	75	70	72	69	60
S08	2	2	2	1	77	81	75		1	80	89	73	75	78	65
S09	2	1	2	1	87	88	84		1	80	84	80	75	80	68
S10	2	1	2	1	89	98	82		3	90	100	85	85	85	78
S11	2	2	2	1	90	94	92		1	85	90	82	79	87	72
S12	2	1	2	1	73	78	72		1	70	74	67	79	68	66
S13	2	2	2	1	74	74	75		1	70	72	69	67	75	67
S14	2	2	2	1	68	65	68		2	62	60	61	67	60	55
S15	2	1	2	1	75	74	72		1	71	77	67	75	71	70
S16	2	1	2	1	74	77	73		1	77	74	68	80	72	65

7. Trautwein and Ammerman are curious how the CI group compares to the norm on CLS at the end of the study.

a. What inferential test should the researchers use? Why?

b. What are the independent and dependent variables?

           

c. Using the A-B-C-D format used in class, answer Drs. Trautwein and Ammerman’s research question.

11. Drs. Trautwein and Ammerman are curious if receptive language changed in the non-CI group (from the beginning to the end of the study).

What type of inferential test should be used to test the hypothesis? Why?

If they found significance, what would their conclusions be?

DEHS Data Set for Assessment Projects
INTD 5064 Applied Statistics for Health Care Practitioners
CI Subjects
Subject ID	Group	Gender	Mode of Communication	ESP-Pre	TL-Pre	AC-Pre	EC-Pre		ESP Post	CLS-Post	RLI-Post	ELI-Post	LCI-Post	LSI-Post	GF-Post
C01	1	1	1	1	86	89	95		3	95	96	99	90	88	101
C02	1	2	1	1	82	85	85		3	85	89	87	83	78	89
C03	1	1	1	1	85	78	80		3	90	92	88	88	84	85
C04	1	1	1	2	81	81	82		2	80	88	84	79	76	105
C05	1	2	1	1	92	95	100		4	100	100	95	98	104	82
C06	1	1	1	1	79	80	72		4	92	94	90	92	82	90
C07	1	1	1	1	78	80	74		3	84	88	79	86	80	80
C08	1	2	1	1	111	115	102		3	120	122	112	109	110	102
C09	1	1	1	2	87	89	79		4	88	92	87	87	82	82
C10	1	2	1	2	99	98	89		4	100	98	90	104	106	95
C11	1	1	1	1	67	69	68		3	79	84	82	70	78	77
C12	1	2	2	1	102	100	98		2	95	98	93	96	90	82
C13	1	1	2	1	74	74	70		2	70	72	70	71	68	74
C14	1	2	2	1	68	65	70		1	67	69	66	65	68	70
C15	1	1	2	1	95	90	101		2	90	92	88	85	95	87
C16	1	1	2	1	75	77	76		2	72	75	70	74	68	69
Non CI Subjects
Subject ID	Group	Gender	Mode of Communication	ESP-Pre	TL-Pre	AC-Pre	EC-Pre		ESP Post	CLS-Post	RLI-Post	ELI-Post	LCI-Post	LSI-Post	GF-Post
S01	2	2	2	1	95	89	100		2	93	89	85	100	92	82
S02	2	1	2	1	87	85	95		1	80	83	82	80	78	70
S03	2	2	2	2	76	78	80		1	78	72	70	77	80	65
S04	2	1	2	1	75	73	72		2	73	71	72	75	72	68
S05	2	1	2	1	79	78	80		1	80	70	72	85	81	63
S06	2	1	2	1	77	78	74		1	75	77	68	85	70	71
S07	2	1	2	1	78	80	72		2	72	75	70	72	69	60
S08	2	2	2	1	77	81	75		1	80	89	73	75	78	65
S09	2	1	2	1	87	88	84		1	80	84	80	75	80	68
S10	2	1	2	1	89	98	82		3	90	100	85	85	85	78
S11	2	2	2	1	90	94	92		1	85	90	82	79	87	72
S12	2	1	2	1	73	78	72		1	70	74	67	79	68	66
S13	2	2	2	1	74	74	75		1	70	72	69	67	75	67
S14	2	2	2	1	68	65	68		2	62	60	61	67	60	55
S15	2	1	2	1	75	74	72		1	71	77	67	75	71	70
S16	2	1	2	1	74	77	73		1	77	74	68	80	72	65

4. Trautwein and Ammerman hypothesize that mode of communication is related to speech perception after the study.

a. What inferential test would they use to complete the analysis? Why? b.

Complete parts B and D of the analysis, using an obtained value of 8.1. You may round speech perception scores.

DEHS Data Set for Assessment Projects
INTD 5064 Applied Statistics for Health Care Practitioners
CI Subjects
Subject ID	Group	Gender	Mode of Communication	ESP-Pre	TL-Pre	AC-Pre	EC-Pre		ESP Post	CLS-Post	RLI-Post	ELI-Post	LCI-Post	LSI-Post	GF-Post
C01	1	1	1	1	86	89	95		3	95	96	99	90	88	101
C02	1	2	1	1	82	85	85		3	85	89	87	83	78	89
C03	1	1	1	1	85	78	80		3	90	92	88	88	84	85
C04	1	1	1	2	81	81	82		2	80	88	84	79	76	105
C05	1	2	1	1	92	95	100		4	100	100	95	98	104	82
C06	1	1	1	1	79	80	72		4	92	94	90	92	82	90
C07	1	1	1	1	78	80	74		3	84	88	79	86	80	80
C08	1	2	1	1	111	115	102		3	120	122	112	109	110	102
C09	1	1	1	2	87	89	79		4	88	92	87	87	82	82
C10	1	2	1	2	99	98	89		4	100	98	90	104	106	95
C11	1	1	1	1	67	69	68		3	79	84	82	70	78	77
C12	1	2	2	1	102	100	98		2	95	98	93	96	90	82
C13	1	1	2	1	74	74	70		2	70	72	70	71	68	74
C14	1	2	2	1	68	65	70		1	67	69	66	65	68	70
C15	1	1	2	1	95	90	101		2	90	92	88	85	95	87
C16	1	1	2	1	75	77	76		2	72	75	70	74	68	69
Non CI Subjects
Subject ID	Group	Gender	Mode of Communication	ESP-Pre	TL-Pre	AC-Pre	EC-Pre		ESP Post	CLS-Post	RLI-Post	ELI-Post	LCI-Post	LSI-Post	GF-Post
S01	2	2	2	1	95	89	100		2	93	89	85	100	92	82
S02	2	1	2	1	87	85	95		1	80	83	82	80	78	70
S03	2	2	2	2	76	78	80		1	78	72	70	77	80	65
S04	2	1	2	1	75	73	72		2	73	71	72	75	72	68
S05	2	1	2	1	79	78	80		1	80	70	72	85	81	63
S06	2	1	2	1	77	78	74		1	75	77	68	85	70	71
S07	2	1	2	1	78	80	72		2	72	75	70	72	69	60
S08	2	2	2	1	77	81	75		1	80	89	73	75	78	65
S09	2	1	2	1	87	88	84		1	80	84	80	75	80	68
S10	2	1	2	1	89	98	82		3	90	100	85	85	85	78
S11	2	2	2	1	90	94	92		1	85	90	82	79	87	72
S12	2	1	2	1	73	78	72		1	70	74	67	79	68	66
S13	2	2	2	1	74	74	75		1	70	72	69	67	75	67
S14	2	2	2	1	68	65	68		2	62	60	61	67	60	55
S15	2	1	2	1	75	74	72		1	71	77	67	75	71	70
S16	2	1	2	1	74	77	73		1	77	74	68	80	72	65

Consider the following time series:

Quarter	Year 1	Year 2	Year 3
1	74	71	65
2	44	36	46
3	61	63	56
4	78	81	72

Use a multiple linear regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtr1 = 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300)
	ŷ =  +  Qtr1 +  Qtr2 +  Qtr3
(c)	Compute the quarterly forecasts for next year.
	Year Quarter Ft 4 1 4 2 4 3 4 4