Questions
On 4/6/2000, Airbnb, the home-sharing company, said it was raising $1 billion from private-equity firms Silver...

On 4/6/2000, Airbnb, the home-sharing company, said it was raising $1 billion from private-equity firms Silver Lake and Sixth Street Partners to bolster its financing. The funding comes at a steep price: $1 billion of debt with an interest rate of more than 10%. While some investors declined to put in new money after Airbnb said it wouldn't replace its CEO and others didn't participate because they didn't think the terms were favorable, Silver Lake and Sixth Street Partners said they had faith in the business and existing leadership team. Airbnb hasn't addressed its plans for a public offering, which had previously been considered the hottest prospective IPO of 2020. Airbnb is now weighing plans to raise as much as $1 billion more in new financing, said the people familiar with the matter.

According to the WSJ article (please see the attached under Week2 reading assignment), please discuss (1) The issues facing Airbnb stemming from Covid-19. (2) Irrespective of Covid-19, what challenges does Airbnb face with respect to its cost structure and business model? (3) Why are the financing terms for the $1 billion it raised so onerous? What other financing options do you believe Airbnb could have explored?

In: Economics

Farmer Inc. began business on January 1, 2019. Its pretax financial income for the first 2...

Farmer Inc. began business on January 1, 2019. Its pretax financial income for the first 2 years was as follows:

                              2019                                  $340,000

                              2020                                    760,000

The following items caused the only differences between pretax financial income and taxable income.

1.    In 2019, the company collected $420,000 of rent; of this amount, $140,000 was earned in 2019; the other $280,000 will be earned equally over the 2020–2021 periods. The full $420,000 was included in taxable income in 2019.

2.    The company pays $20,000 a year for life insurance on officers.

3.    In 2020, the company terminated a top executive and agreed to $90,000 of severance pay. The amount will be paid $30,000 per year for 2020–2022. The 2020 payment was made. The $90,000 was expensed in 2020 for financial reporting purposes. For tax purposes, the severance pay is deductible as it is paid.

4. The company purchased a large asset in 2019 for $60,000. The depreciation will be computed using a five-year life. For tax purposes, the company will be able to deduct half of the cost in 2019 and in 2020.

The enacted tax rates existing on December 31, 2019, are:

               2019                     30%                                      2021                     40%

               2020                     35%                                      2022                     40%

Instructions:

(a)      Determine taxable income for 2019 and 2020.

(b)      Determine the deferred income taxes at the end of 2019, and prepare the journal entry to record income taxes for 2019.

(c)      Prepare a schedule of future taxable and (deductible) amounts at the end of 2020.

(d)      Prepare a schedule of the deferred tax (asset) and liability at the end of 2020.

(e) Compute the net deferred tax expense (benefit) for 2020.

(f)       Prepare the journal entry to record income taxes for 2020.

In: Accounting

which of the following is not related to genetic drift? neutral variation sexual selection non darwinian...

which of the following is not related to genetic drift?

neutral variation

sexual selection

non darwinian evolution

bottleneck effect

founder effect

In: Biology

P14–19Ethics Problem Assume that you are the CFO of a company contemplating a stock repurchase next...

P14–19Ethics Problem Assume that you are the CFO of a company contemplating a stock repurchase next quarter. You know that there are several methods of reducing the current quarterly earnings, which may cause the stock price to fall prior to the announcement of the proposed stock repurchase. What course of action would you recommend to your CEO? If your CEO came to you first and recommended reducing the current quarter’s earnings, what would be your response?

In: Accounting

The following information is available for Ivanhoe Company. 1. Purchased a copyright on January 1, 2020...

The following information is available for Ivanhoe Company. 1. Purchased a copyright on January 1, 2020 for $62,400. It is estimated to have a 10-year life. 2. On July 1, 2020, legal fees for successful defense of the copyright purchased on January 1, 2020, were $17,784.

Prepare the journal entries to record all the events related to the copyright during 2020. (Credit account titles are automatically indented when the amount is entered. Do not indent manually.)
Jan 1st 2020, July 1st, 2020, Dec 31st, 2020

At December 31, 2021, an impairment test is performed on the copyright purchased in 2020.

It is estimated that the net cash flows to be received from the copyright will be $62,400, and its fair value is $59,280. The accumulated amortization at the end of 2021 was $15,288. Compute the amount of impairment, if any, to be recorded on December 31, 2021. (If there is a loss on impairment, then enter amounts using either a negative sign preceding the number e.g. -45 or parentheses e.g. (45).)

Amount of impairment $

In: Accounting

You have heard from idle chatter that most students don't declare a major in their MBA...

You have heard from idle chatter that most students don't declare a major in their MBA programs. You took a sample of 200 students (in the data file). Conduct a one-sample hypothesis test to determine if the proportion without a major is greater than 50%. Use a .05 significance level.

ID Gender Major Employ Age MBA_GPA
1 0 No Major Unemployed 39 2.82
2 1 No Major Full Time 55 4
3 0 No Major Part Time 43 3.45
4 0 No Major Full Time 56 2.61
5 1 No Major Full Time 38 3.5
6 0 No Major Unemployed 54 4
7 0 No Major Full Time 30 3
8 0 No Major Full Time 37 2.5
9 0 No Major Part Time 38 2.84
10 0 No Major Full Time 42 3.72
11 0 No Major Part Time 52 3.21
12 0 No Major Full Time 35 3.44
13 0 No Major Full Time 37 3.65
14 0 No Major Full Time 53 3.02
15 0 No Major Part Time 51 3.03
16 1 No Major Full Time 40 3.8
17 0 Finance Full Time 33 4
18 0 No Major Part Time 53 3.26
19 0 No Major Full Time 43 3.53
20 0 Finance Unemployed 35 3.75
21 0 No Major Full Time 57 3.15
22 1 No Major Part Time 32 3.66
23 1 No Major Full Time 59 3.36
24 1 No Major Full Time 48 3.79
25 1 No Major Part Time 34 2.85
26 1 No Major Full Time 53 3.74
27 1 No Major Part Time 35 3.23
28 1 No Major Unemployed 38 3.52
29 1 No Major Part Time 37 3.32
30 0 Finance Full Time 46 2.89
31 0 No Major Full Time 44 2.83
32 0 No Major Unemployed 31 2.93
33 0 No Major Full Time 51 3.71
34 0 Finance Full Time 47 3.47
35 0 No Major Part Time 56 3.52
36 1 Finance Part Time 42 2.83
37 0 Finance Full Time 44 3.64
38 0 No Major Unemployed 54 2.96
39 0 Finance Full Time 51 3.59
40 0 No Major Part Time 42 3.33
41 0 Finance Full Time 45 3.38
42 0 Finance Full Time 55 3.44
43 0 No Major Full Time 47 3.31
44 1 Finance Unemployed 43 3.03
45 0 Finance Full Time 57 3.26
46 1 Finance Full Time 36 3.04
47 1 No Major Part Time 58 2.98
48 1 Finance Full Time 46 2.8
49 1 Finance Full Time 53 3.75
50 0 Finance Full Time 59 3.64
51 0 No Major Full Time 49 3.65
52 0 Finance Full Time 34 3.18
53 0 No Major Full Time 46 3.44
54 1 Finance Unemployed 46 3.06
55 1 Finance Full Time 33 3.51
56 1 Marketing Part Time 56 3.33
57 1 Marketing Full Time 39 2.81
58 1 Marketing Full Time 51 3.64
59 1 Leadership Part Time 55 3.05
60 1 Leadership Full Time 38 2.85
61 1 Marketing Full Time 33 3.56
62 1 Marketing Full Time 34 2.92
63 1 Marketing Full Time 31 3.35
64 1 Marketing Full Time 37 3.46
65 1 Marketing Full Time 46 3.59
66 1 No Major Unemployed 31 3.11
67 1 No Major Full Time 47 3.65
68 1 No Major Part Time 54 3.17
69 1 No Major Full Time 52 2.97
70 1 Marketing Part Time 43 3.77
71 1 Leadership Full Time 44 3.21
72 1 Leadership Part Time 34 3.17
73 1 Leadership Full Time 59 3.65
74 1 Leadership Full Time 45 2.94
75 1 Leadership Full Time 30 3.53
76 1 No Major Full Time 32 3.65
77 1 Leadership Full Time 32 3.61
78 1 No Major Full Time 40 3.7
79 1 Leadership Full Time 48 2.91
80 1 Leadership Unemployed 51 3.09
81 1 Leadership Full Time 30 3.77
82 1 Leadership Full Time 31 3.79
83 1 Leadership Full Time 35 3.59
84 1 Leadership Full Time 33 3.38
85 1 No Major Full Time 35 4
86 1 Marketing Full Time 31 2.97
87 1 Marketing Full Time 38 3.44
88 1 No Major Part Time 46 3.64
89 1 Finance Full Time 45 3.48
90 1 Finance Full Time 59 2.76
91 1 Finance Full Time 58 3.73
92 1 Finance Full Time 46 2.91
93 1 Finance Full Time 35 3.78
94 1 Finance Part Time 53 3.5
95 1 Finance Full Time 31 3.13
96 1 Finance Full Time 50 3.14
97 1 Finance Full Time 38 3.24
98 1 Finance Full Time 50 3.56
99 1 Finance Full Time 48 3.16
100 1 Finance Full Time 53 3.53
101 0 No Major Unemployed 53 3.7
102 0 Marketing Full Time 30 3.3
103 0 Marketing Part Time 32 4
104 0 Leadership Full Time 42 3.5
105 0 Leadership Full Time 56 3.39
106 0 No Major Full Time 46 3.65
107 0 Leadership Full Time 49 2.78
108 0 No Major Part Time 32 3.44
109 0 No Major Full Time 36 3.88
110 0 No Major Full Time 42 2.84
111 0 No Major Part Time 37 3.53
112 0 No Major Full Time 31 3.22
113 0 No Major Full Time 31 3.56
114 0 No Major Unemployed 42 3.2
115 0 No Major Full Time 39 3.56
116 0 No Major Full Time 47 3.41
117 0 Leadership Part Time 28 3.56
118 0 Leadership Unemployed 28 3.34
119 0 Leadership Full Time 52 2.56
120 0 Leadership Part Time 35 3.76
121 1 Finance Full Time 38 3.55
122 1 No Major Full Time 44 3.88
123 1 No Major Part Time 38 3.31
124 1 Finance Full Time 52 3.09
125 1 Finance Unemployed 53 3.82
126 1 Finance Part Time 53 3.01
127 1 Finance Full Time 31 3.66
128 1 Finance Part Time 47 3.64
129 1 Finance Full Time 51 3.59
130 1 Finance Unemployed 37 3.49
131 1 Finance Part Time 46 3.13
132 1 Finance Full Time 48 3.83
133 1 Leadership Full Time 54 3.04
134 1 Leadership Full Time 48 3.91
135 1 Leadership Full Time 36 3.56
136 1 Finance Unemployed 39 3.96
137 1 Finance Full Time 28 3.46
138 1 Finance Part Time 45 3.22
139 1 Finance Full Time 31 3.27
140 1 Finance Full Time 47 3.43
141 1 Finance Part Time 35 3.85
142 1 Finance Full Time 52 3.89
143 0 Finance Part Time 52 3.37
144 1 Finance Unemployed 55 3.32
145 1 Finance Full Time 52 3.54
146 1 Finance Part Time 46 3.8
147 1 Leadership Full Time 31 3.74
148 1 Leadership Unemployed 33 3.6
149 1 Leadership Part Time 45 2.6
150 1 Leadership Unemployed 50 3.8
151 1 No Major Part Time 33 2.67
152 1 No Major Full Time 37 3.95
153 1 No Major Unemployed 33 3.56
154 1 Marketing Full Time 46 3.79
155 1 Marketing Unemployed 55 3.93
156 1 Marketing Full Time 30 3.79
157 1 Marketing Full Time 51 3.71
158 1 Marketing Unemployed 35 3.05
159 1 Marketing Unemployed 40 3.22
160 0 Marketing Part Time 29 3.85
161 1 Marketing Full Time 52 3.82
162 1 Marketing Unemployed 27 3.23
163 1 Marketing Full Time 51 3.56
164 0 Marketing Part Time 56 3.53
165 1 Marketing Unemployed 35 3.62
166 1 Leadership Full Time 46 3.8
167 1 Leadership Part Time 39 3.47
168 1 Leadership Full Time 31 3.64
169 1 Leadership Part Time 52 3.03
170 1 Leadership Unemployed 35 3.17
171 1 Leadership Full Time 32 3.22
172 0 Leadership Part Time 44 3.92
173 1 Leadership Unemployed 43 3.82
174 1 Leadership Part Time 38 3.26
175 1 Leadership Full Time 54 3.8
176 1 Leadership Full Time 30 3.2
177 0 Leadership Part Time 38 3.46
178 1 Leadership Full Time 45 3.67
179 1 Leadership Unemployed 48 4
180 1 Leadership Full Time 43 3.66
181 0 Leadership Full Time 34 3.96
182 1 Leadership Full Time 54 3.75
183 1 Leadership Full Time 36 3.83
184 1 Leadership Full Time 45 3.55
185 0 Leadership Unemployed 55 3.36
186 1 Leadership Part Time 45 3.21
187 1 Leadership Part Time 34 2.97
188 0 Leadership Part Time 54 3.99
189 1 Leadership Full Time 36 3.07
190 1 Leadership Full Time 24 3.65
191 1 Leadership Full Time 34 3.67
192 1 Leadership Full Time 45 3.06
193 1 Leadership Unemployed 33 3.98
194 1 Leadership Full Time 22 3.93
195 1 Leadership Unemployed 27 3.41
196 1 Leadership Unemployed 33 3.43
197 1 Leadership Unemployed 36 3.7
198 1 Leadership Unemployed 34 3.76
199 1 Leadership Unemployed 55 3.9
200 1 Leadership Full Time 33 3.23

In: Statistics and Probability

2)Business Weekly conducted a survey of graduates from 30 top MBA programs. On the basis of...

2)Business Weekly conducted a survey of graduates from 30 top MBA programs. On the basis of the survey, assume the mean annual salary for graduates 10 years after graduation is 132000 dollars. Assume the standard deviation is 31000 dollars. Suppose you take a simple random sample of 59 graduates.

Find the probability that a single randomly selected salary has a mean value between 116260.2 and 145318.3 dollars.
P(116260.2 < X < 145318.3) =  (Enter your answers as numbers accurate to 4 decimal places.)

Find the probability that a random sample of size n=59n=59 has a mean value between 116260.2 and 145318.3 dollars.
P(116260.2 < ¯xx¯ < 145318.3) =  (Enter your answers as numbers accurate to 4 decimal places.)

3)A leading magazine (like Barron's) reported at one time that the average number of weeks an individual is unemployed is 36.1 weeks. Assume that for the population of all unemployed individuals the population mean length of unemployment is 36.1 weeks and that the population standard deviation is 5.4 weeks. Suppose you would like to select a random sample of 91 unemployed individuals for a follow-up study.

Find the probability that a single randomly selected value is between 35 and 37.2.
P(35 < X < 37.2) =

Find the probability that a sample of size n=91n=91 is randomly selected with a mean between 35 and 37.2.
P(35 < ¯xx¯ < 37.2) =

Enter your answers as numbers accurate to 4 decimal places.

4)CNNBC recently reported that the mean annual cost of auto insurance is 957 dollars. Assume the standard deviation is 271 dollars. You take a simple random sample of 73 auto insurance policies. (Do not use tables unless directed to do so.)

Find the probability that a single randomly selected value is more than 994 dollars.
P(X > 994) =

Find the probability that a sample of size n=73n=73 is randomly selected with a mean that is more than 994 dollars.
P(¯xx¯ > 994) =

Enter your answers as numbers accurate to 4 decimal places.

5)Business Weekly conducted a survey of graduates from 30 top MBA programs. On the basis of the survey, assume the mean annual salary for graduates 10 years after graduation is 168000 dollars. Assume the standard deviation is 43000 dollars. Suppose you take a simple random sample of 70 graduates.

Do not use probability tables to find the probabilities below as they may not be accurate enough.

Find the probability that a single randomly selected salary is more than 164000 dollars.
P(X > 164000) =

Find the probability that a sample of size n=70n=70 is randomly selected with a mean that is more than 164000 dollars.
P(¯xx¯ > 164000) =

Enter your answers as numbers accurate to 4 decimal places.

6)A leading magazine (like Barron's) reported at one time that the average number of weeks an individual is unemployed is 23 weeks. Assume that for the population of all unemployed individuals the population mean length of unemployment is 23 weeks and that the population standard deviation is 9 weeks. Suppose you would like to select a random sample of 38 unemployed individuals for a follow-up study.

Find the probability that a single randomly selected value is less than 24.
P(X < 24) =

Find the probability that a sample of size n=38n=38 is randomly selected with a mean less than 24.
P(¯xx¯ < 24) =

Enter your answers as numbers accurate to 4 decimal places.

7)A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 261.5-cm and a standard deviation of 0.5-cm. For shipment, 13 steel rods are bundled together.

Find the probability that the average length of a randomly selected bundle of steel rods is less than 261.7-cm.
P(¯xx¯ < 261.7-cm) =

Enter your answer as a number accurate to 4 decimal places.

In: Statistics and Probability

2)Business Weekly conducted a survey of graduates from 30 top MBA programs. On the basis of...

2)Business Weekly conducted a survey of graduates from 30 top MBA programs. On the basis of the survey, assume the mean annual salary for graduates 10 years after graduation is 132000 dollars. Assume the standard deviation is 31000 dollars. Suppose you take a simple random sample of 59 graduates.

Find the probability that a single randomly selected salary has a mean value between 116260.2 and 145318.3 dollars.
P(116260.2 < X < 145318.3) =  (Enter your answers as numbers accurate to 4 decimal places.)

Find the probability that a random sample of size n=59n=59 has a mean value between 116260.2 and 145318.3 dollars.
P(116260.2 < ¯xx¯ < 145318.3) =  (Enter your answers as numbers accurate to 4 decimal places.)

3)A leading magazine (like Barron's) reported at one time that the average number of weeks an individual is unemployed is 36.1 weeks. Assume that for the population of all unemployed individuals the population mean length of unemployment is 36.1 weeks and that the population standard deviation is 5.4 weeks. Suppose you would like to select a random sample of 91 unemployed individuals for a follow-up study.

Find the probability that a single randomly selected value is between 35 and 37.2.
P(35 < X < 37.2) =

Find the probability that a sample of size n=91n=91 is randomly selected with a mean between 35 and 37.2.
P(35 < ¯xx¯ < 37.2) =

Enter your answers as numbers accurate to 4 decimal places.

4)CNNBC recently reported that the mean annual cost of auto insurance is 957 dollars. Assume the standard deviation is 271 dollars. You take a simple random sample of 73 auto insurance policies. (Do not use tables unless directed to do so.)

Find the probability that a single randomly selected value is more than 994 dollars.
P(X > 994) =

Find the probability that a sample of size n=73n=73 is randomly selected with a mean that is more than 994 dollars.
P(¯xx¯ > 994) =

Enter your answers as numbers accurate to 4 decimal places.

5)Business Weekly conducted a survey of graduates from 30 top MBA programs. On the basis of the survey, assume the mean annual salary for graduates 10 years after graduation is 168000 dollars. Assume the standard deviation is 43000 dollars. Suppose you take a simple random sample of 70 graduates.

Do not use probability tables to find the probabilities below as they may not be accurate enough.

Find the probability that a single randomly selected salary is more than 164000 dollars.
P(X > 164000) =

Find the probability that a sample of size n=70n=70 is randomly selected with a mean that is more than 164000 dollars.
P(¯xx¯ > 164000) =

Enter your answers as numbers accurate to 4 decimal places.

6)A leading magazine (like Barron's) reported at one time that the average number of weeks an individual is unemployed is 23 weeks. Assume that for the population of all unemployed individuals the population mean length of unemployment is 23 weeks and that the population standard deviation is 9 weeks. Suppose you would like to select a random sample of 38 unemployed individuals for a follow-up study.

Find the probability that a single randomly selected value is less than 24.
P(X < 24) =

Find the probability that a sample of size n=38n=38 is randomly selected with a mean less than 24.
P(¯xx¯ < 24) =

Enter your answers as numbers accurate to 4 decimal places.

7)A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 261.5-cm and a standard deviation of 0.5-cm. For shipment, 13 steel rods are bundled together.

Find the probability that the average length of a randomly selected bundle of steel rods is less than 261.7-cm.
P(¯xx¯ < 261.7-cm) =

Enter your answer as a number accurate to 4 decimal places.

In: Statistics and Probability

You are a Software QA Professional and are now interviewing at Google for your next job....

You are a Software QA Professional and are now interviewing at Google for your next job. While in the interview, the QA Manager taking your interview asks you the following question: “Let’s say you log a bug that you find while executing 1 of your test cases. But the developer replies back and says that this is not a valid bug. How would you tackle this situation and what would be your next steps?” Provide a thorough and complete answer to this interview question.

In: Computer Science

HRMT 1. Refer to an organization and job position you are familiar with. Describe a selection...

HRMT

1. Refer to an organization and job position you are familiar with. Describe a selection test you would use as part of your hiring process and your rationale for using the test. Describe the critical points you would consider in selecting the test.

2- What sources of information create interview impressions that influence the interview process and outcomes? Provide an example of an interview impression error you have experienced and how you would reduce the effects of this inaccurate impression in future interviews.

In: Operations Management