Exercise 121
Fill in the dollar changes caused in the Investment account and Dividend Revenue or Investment Revenue account by each of the following transactions, assuming Crane Company uses (a) the fair value method and (b) the equity method for accounting for its investments in Hudson Company. (Enter negative amounts using either a negative sign preceding the number e.g. -45 or parentheses e.g. (45). Do not leave any answer field blank. Enter 0 for amounts.)
|
(a) Fair Value Method |
(b) Equity Method |
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|
Transaction |
Investment Account |
Dividend Revenue |
Investment Account |
Investment Revenue |
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1. |
At the beginning of Year 1, Crane bought 25% of Hudson's common stock at its book value. Total book value of all Hudson's common stock was $790,000 on this date. |
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2. |
During Year 1, Hudson reported $50,000 of net income and paid $25,000 of dividends. |
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3. |
During Year 2, Hudson reported $31,500 of net income and paid $21,000 of dividends. |
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4. |
During Year 3, Hudson reported a net loss of $12,000 and paid $3,900 of dividends. |
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5. |
Indicate the Year 3 ending balance in the Investment account, and cumulative totals for Years 1, 2, and 3 for dividend revenue and investment revenue. |
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In: Accounting
a company that faced controversy due to its business communication. Examples: a company displayed controversial advertising that some found offensive. A senior official made statements that were perceived offensive. A tweet was accidentally blasted publicly that was offensive. An internal document surfaced that was demeaning to a gender/race/culture/class, etc. talk about the company's controversial business communication, the reaction from the public, the damage control performed by the company, and the lasting repercussions of the company's actions.
In: Operations Management
A company manufactures printers and fax machines at plants located in Atlanta, Dallas, and Seattle. To measure how much employees at these plants know about quality management, a random sample of 6 employees was selected from each plant and the employees selected were given a quality awareness examination. The examination scores for these 18 employees are shown in the following table. The sample means, sample variances, and sample standard deviations for each group are also provided. Managers want to use these data to test the hypothesis that the mean examination score is the same for all three plants.
| Plant 1 Atlanta |
Plant 2 Dallas |
Plant 3 Seattle |
|
|---|---|---|---|
| 85 | 70 | 59 | |
| 75 | 74 | 63 | |
| 83 | 72 | 61 | |
| 75 | 73 | 69 | |
| 72 | 68 | 74 | |
| 90 | 87 | 64 | |
| Sample mean |
80 | 74 | 65 |
| Sample variance |
49.6 | 45.2 | 30.8 |
| Sample standard deviation |
7.04 | 6.72 | 5.55 |
Set up the ANOVA table for these data. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.)
| Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square |
F | p-value |
|---|---|---|---|---|---|
| Treatments | |||||
| Error | |||||
| Total |
Test for any significant difference in the mean examination score for the three plants. Use
α = 0.05.
In: Statistics and Probability
| Age | 58 | 69 | 43 | 39 | 63 | 52 | 47 | 31 | 74 | 36 |
| Cholesterol level | 189 | 235 | 193 | 177 | 154 | 191 | 213 | 165 | 198 | 181 |
(3) (Continued from Question 2) Based on the sample of 10 men with ages and cholesterol levels given in the table in Question 2, answer the following.
(a) At 5% significance level, do the data provide sufficient evidence to conclude that age is useful as a (linear) predictor of cholesterol level? State any assumption(s) you make.
(b) What is the mean estimated cholesterol level for all 74 year old men?
(c) Find a 90% confidence interval for mean cholesterol level for all 74 year old men.
(d) Find a 90% prediction interval for mean cholesterol level for all 74 year old men.
(e) If we wish to add one dummy predictor variable to make a multiple regression model, what would it be?
please show me the math for this
In: Statistics and Probability
Target Case (Static) [LO6-2, 6-6, 6-7]
Target Corporation prepares its financial statements according
to U.S. GAAP. Target’s financial statements and disclosure notes
for the year ended February 3, 2018, are available here. This
material also is available under the Investor Relations link at the
company’s website (www.target.com).
Required:
1. On what line of Target’s income statement is
revenue reported? What was the amount of revenue Target reported
for the fiscal year ended February 3, 2018?
2. Disclosure Note 2 indicates that Target
generally records revenue in retail stores at the point of sale.
Does that suggest that Target generally records revenue at a point
in time or over a period of time? Explain.
3. Disclosure Note 2 indicates that customers
(“guests”) can return some merchandise within 90 days of purchase
and can return other merchandise within a year of purchase. How is
Target’s revenue and net income affected by returns, given that it
does not know at the time a sale is made which items will be
returned?
4. Disclosure Note 2 indicates that “Commissions
earned on sales generated by leased departments are included within
sales and were $44 million . . . in 2017.” Do you think it likely
that Target is accounting for those sales as a principal or an
agent? Explain.
5. Disclosure Note 2 discusses Target’s accounting
for gift card sales. Does Target recognize revenue when it sells a
gift card to a customer? If not, when does it recognize revenue?
Explain.
6. Disclosure Note 4 discussed how Target accounts
for consideration received from vendors, which they call “vendor
income.” Does that consideration produce revenue for Target? Does
that consideration produce revenue for Target’s vendors?
Explain.
In: Accounting
Target Case (Static) [LO6-2, 6-6, 6-7]
Target Corporation prepares its financial statements according
to U.S. GAAP. Target’s financial statements and disclosure notes
for the year ended February 3, 2018, are available here. This
material also is available under the Investor Relations link at the
company’s website (www.target.com).
Required:
1. On what line of Target’s income statement is
revenue reported? What was the amount of revenue Target reported
for the fiscal year ended February 3, 2018?
2. Disclosure Note 2 indicates that Target
generally records revenue in retail stores at the point of sale.
Does that suggest that Target generally records revenue at a point
in time or over a period of time? Explain.
3. Disclosure Note 2 indicates that customers
(“guests”) can return some merchandise within 90 days of purchase
and can return other merchandise within a year of purchase. How is
Target’s revenue and net income affected by returns, given that it
does not know at the time a sale is made which items will be
returned?
4. Disclosure Note 2 indicates that “Commissions
earned on sales generated by leased departments are included within
sales and were $44 million . . . in 2017.” Do you think it likely
that Target is accounting for those sales as a principal or an
agent? Explain.
5. Disclosure Note 2 discusses Target’s accounting
for gift card sales. Does Target recognize revenue when it sells a
gift card to a customer? If not, when does it recognize revenue?
Explain.
6. Disclosure Note 4 discussed how Target accounts
for consideration received from vendors, which they call “vendor
income.” Does that consideration produce revenue for Target? Does
that consideration produce revenue for Target’s vendors?
Explain.
In: Accounting
____ Which of the following statements is NOT true?
In: Finance
The EXACT sequence or order for your report should be as follows:
This is based on Costco Wholesales.
In: Operations Management
Is there a difference between the means of the total of rooms per hotel in Crete and Southern Aegean Islands? Answer your question by calculating an appropriate, symmetric, 95% confidence interval using a Z statistic and equal standard deviations in the two populations. Explain your findings.
REGION ID
1= Crete
2=Southern Aegean Islands
3=Ionian Islands
| Total_Rooms | Region_ID |
| 412 | 1 |
| 313 | 1 |
| 265 | 1 |
| 204 | 1 |
| 172 | 1 |
| 133 | 1 |
| 127 | 1 |
| 322 | 1 |
| 241 | 1 |
| 172 | 1 |
| 121 | 1 |
| 70 | 1 |
| 65 | 1 |
| 93 | 1 |
| 75 | 1 |
| 69 | 1 |
| 66 | 1 |
| 54 | 1 |
| 68 | 1 |
| 57 | 1 |
| 38 | 1 |
| 27 | 1 |
| 47 | 1 |
| 32 | 1 |
| 27 | 1 |
| 48 | 1 |
| 39 | 1 |
| 35 | 1 |
| 23 | 1 |
| 25 | 1 |
| 10 | 1 |
| 18 | 1 |
| 17 | 1 |
| 29 | 1 |
| 21 | 1 |
| 23 | 1 |
| 15 | 1 |
| 8 | 1 |
| 20 | 1 |
| 11 | 1 |
| 15 | 1 |
| 18 | 1 |
| 23 | 1 |
| 10 | 1 |
| 26 | 1 |
| 306 | 2 |
| 240 | 2 |
| 330 | 2 |
| 139 | 2 |
| 353 | 2 |
| 324 | 2 |
| 276 | 2 |
| 221 | 2 |
| 200 | 2 |
| 117 | 2 |
| 170 | 2 |
| 122 | 2 |
| 57 | 2 |
| 62 | 2 |
| 98 | 2 |
| 75 | 2 |
| 62 | 2 |
| 50 | 2 |
| 27 | 2 |
| 44 | 2 |
| 33 | 2 |
| 25 | 2 |
| 42 | 2 |
| 30 | 2 |
| 44 | 2 |
| 10 | 2 |
| 18 | 2 |
| 18 | 2 |
| 73 | 2 |
| 21 | 2 |
| 22 | 2 |
| 25 | 2 |
| 25 | 2 |
| 31 | 2 |
| 16 | 2 |
| 15 | 2 |
| 12 | 2 |
| 11 | 2 |
| 16 | 2 |
| 22 | 2 |
| 12 | 2 |
| 34 | 2 |
| 37 | 2 |
| 25 | 2 |
| 10 | 2 |
| 270 | 3 |
| 261 | 3 |
| 219 | 3 |
| 280 | 3 |
| 378 | 3 |
| 181 | 3 |
| 166 | 3 |
| 119 | 3 |
| 174 | 3 |
| 124 | 3 |
| 112 | 3 |
| 227 | 3 |
| 161 | 3 |
| 216 | 3 |
| 102 | 3 |
| 96 | 3 |
| 97 | 3 |
| 56 | 3 |
| 72 | 3 |
| 62 | 3 |
| 78 | 3 |
| 74 | 3 |
| 33 | 3 |
| 30 | 3 |
| 39 | 3 |
| 32 | 3 |
| 25 | 3 |
| 41 | 3 |
| 24 | 3 |
| 49 | 3 |
| 43 | 3 |
| 9 | 3 |
| 20 | 3 |
| 32 | 3 |
| 14 | 3 |
| 14 | 3 |
| 13 | 3 |
| 13 | 3 |
| 53 | 3 |
| 11 | 3 |
| 16 | 3 |
| 21 | 3 |
| 21 | 3 |
| 46 | 3 |
| 21 | 3 |
In: Statistics and Probability
Is there a difference between the means of the total of rooms per hotel in Crete and Southern Aegean Islands? Answer your question by calculating an appropriate, symmetric, 95% confidence interval using a Z statistic and equal standard deviations in the two populations. Explain your findings
REGION ID
1= Crete
2=Southern Aegean Islands
3=Ionian Islands
| Total_Rooms | Region_ID |
| 412 | 1 |
| 313 | 1 |
| 265 | 1 |
| 204 | 1 |
| 172 | 1 |
| 133 | 1 |
| 127 | 1 |
| 322 | 1 |
| 241 | 1 |
| 172 | 1 |
| 121 | 1 |
| 70 | 1 |
| 65 | 1 |
| 93 | 1 |
| 75 | 1 |
| 69 | 1 |
| 66 | 1 |
| 54 | 1 |
| 68 | 1 |
| 57 | 1 |
| 38 | 1 |
| 27 | 1 |
| 47 | 1 |
| 32 | 1 |
| 27 | 1 |
| 48 | 1 |
| 39 | 1 |
| 35 | 1 |
| 23 | 1 |
| 25 | 1 |
| 10 | 1 |
| 18 | 1 |
| 17 | 1 |
| 29 | 1 |
| 21 | 1 |
| 23 | 1 |
| 15 | 1 |
| 8 | 1 |
| 20 | 1 |
| 11 | 1 |
| 15 | 1 |
| 18 | 1 |
| 23 | 1 |
| 10 | 1 |
| 26 | 1 |
| 306 | 2 |
| 240 | 2 |
| 330 | 2 |
| 139 | 2 |
| 353 | 2 |
| 324 | 2 |
| 276 | 2 |
| 221 | 2 |
| 200 | 2 |
| 117 | 2 |
| 170 | 2 |
| 122 | 2 |
| 57 | 2 |
| 62 | 2 |
| 98 | 2 |
| 75 | 2 |
| 62 | 2 |
| 50 | 2 |
| 27 | 2 |
| 44 | 2 |
| 33 | 2 |
| 25 | 2 |
| 42 | 2 |
| 30 | 2 |
| 44 | 2 |
| 10 | 2 |
| 18 | 2 |
| 18 | 2 |
| 73 | 2 |
| 21 | 2 |
| 22 | 2 |
| 25 | 2 |
| 25 | 2 |
| 31 | 2 |
| 16 | 2 |
| 15 | 2 |
| 12 | 2 |
| 11 | 2 |
| 16 | 2 |
| 22 | 2 |
| 12 | 2 |
| 34 | 2 |
| 37 | 2 |
| 25 | 2 |
| 10 | 2 |
| 270 | 3 |
| 261 | 3 |
| 219 | 3 |
| 280 | 3 |
| 378 | 3 |
| 181 | 3 |
| 166 | 3 |
| 119 | 3 |
| 174 | 3 |
| 124 | 3 |
| 112 | 3 |
| 227 | 3 |
| 161 | 3 |
| 216 | 3 |
| 102 | 3 |
| 96 | 3 |
| 97 | 3 |
| 56 | 3 |
| 72 | 3 |
| 62 | 3 |
| 78 | 3 |
| 74 | 3 |
| 33 | 3 |
| 30 | 3 |
| 39 | 3 |
| 32 | 3 |
| 25 | 3 |
| 41 | 3 |
| 24 | 3 |
| 49 | 3 |
| 43 | 3 |
| 9 | 3 |
| 20 | 3 |
| 32 | 3 |
| 14 | 3 |
| 14 | 3 |
| 13 | 3 |
| 13 | 3 |
| 53 | 3 |
| 11 | 3 |
| 16 | 3 |
| 21 | 3 |
| 21 | 3 |
| 46 | 3 |
| 21 | 3 |
In: Statistics and Probability