What is the primary difference between net income and cash flow to an investor?
A : Net income includes depreciated expenditures, whereas cash flow only accounts for current capital expenditures made by the company.
B : Net income is profit from revenue minus expenses, whereas cash flow is the amount of revenue incoming and outgoing from the business.
C : Net income accounts for expenses, whereas cash flow to investors also accounts for the sale of securities to debt holders and shareholders.
D : Net income covers profits and monies made from securities, whereas the cash flow to an investor does not include profits.
In: Finance
Suppose the demand is a typical downward sloping linear curve
and the supply curve is perfectly price elastic. If 3 million
tickets are currently sold at a price of $5, approximately how much
tax revenue could the government generate from a $1 per unit tax on
sellers? The arc-price elasticity of demand between P=$5 and the
new equilibrium price is -1.0 (Note: dQ = Change in Q and dP=Change
in P)
i. Draw a completely labeled D&S graph to show the market described above.
ii. Calculate new quantity and the tax revenue. Please show your calculations.
In: Economics
2) Demand and Marginal Revenue
a) Explain why a single price monopolist faces a downward sloping demand and why their downward sloping demand results in P>MR.
b) Explain why a 1) perfectly competitive market and 2) Perfect (first degree) price discriminating monopolist determines their demand curve, in general compare their demands, and despite their difference in demand why P=MR for both.
c) For a member of a cartel (for a firm in a cartel), explain the relationship between price and marginal revenue before they form a cartel and after they form a cartel. (Hint: why do cartels also have a quota for each member?)
In: Economics
The financial statements of Procter & Gamble in available online either through the SEC website or the corporation's website. Access the financial statements for the fiscal year end June 30, 2020 answer the following questions:
a. What type of income statement formate does P & G use?
b. What are P & G's primary revenue sources?
c. Why does P & G make a distinction between operating and nonoperating revenue?
d. Compute P & G's gross profit ratio of each of the years presented the June 30, 2020 annual report. Did the gross profit ratio increase or decrease? Explain why.
In: Accounting
EXCEL CAN BE USED
You still work at that Starbucks. Due to COVID-19, the business is slow. As the manager, you had to ask two employees of yours to stay home and wait for more shifts to open. Meanwhile, you are bored. So you look into historical data from the store and dig out the following:
Customers spent an average of $4.18 on iced coffee with a standard deviation of $0.84.
43% of iced-coffee customers were women.
21% were teenage girls.
In order to increase sales, Starbucks start to offer a half-priced Frappuccino beverage between 3 pm and 5 pm for a limited time. One month after the marketing period ends, you survey 50 of your iced-coffee customers and find that:
They spent an average of $4.26 on the drink.
46% were women.
34% were teenage girls.
Since these numbers are different from what the store historical data has told, you wonder whether the store data are outdated.
What's the probability that customers spend an average of $4.26 or more on iced coffee? Round your answer to four decimal places. Based on this probability, are you convinced that the store data on the average spend on the drink are outdated? Hint: If the probability is < 0.05, the store data are outdated.
What's the probability that 46% or more of iced-coffee customers are women? Round your answer to four decimal places. Based on this probability, are you convinced that the store data on women are outdated? Hint: If the probability is < 0.05, the store data are outdated.
What's the probability that 34% or more of iced-coffee customers are teenage girls? Round your answer to eight decimal places. Based on this probability, are you convinced that the store data on teenage girls are outdated? Hint: If the probability is < 0.05, the store data are outdated.
In: Statistics and Probability
1. Dropbox, a cloud storage provider, plans to go public this year. It has set its valuation target at between $7 billion and 8 billion dollars. As one of the few richly valued tech startups to test the public markets in recent years, Dropbox's performance as a public company will be closely watched at a potential barometer for the more than 100 U.S. companies valued at more than $1 billion that still remain private.
Dropbox was founded by MIT computer-science students Drew Houston and Arash Ferdowsi in 2007. It now has more than 500 million users, most of whom use its free, basic service with limited storage. Dropbox has never turned a yearly profit. While the company's losses have been shrinking, its revenue growth has also slowed. It has roughly 11 million paying customers, but the vast majority of its 500 million users do not pay.
Why has Dropbox
been successful as a business? What do you think about the
Dropbox's long-term future given the competitive environment it
faces? How going public benefits Dropbox rather than remaining a
private company? If you were an investor, would you invest in
Dropbox's IPO? Why or why not? Please
discuss.
In: Finance
Energy diagram for an atom contains an excited electron at n = 4 level (see below table). Calculate the longest wavelength of light that is emitted.
Answer must be in meters!
| Energy Level (n) | Energy |
| n=1 |
1.13 x 10-27 J |
| n=2 | 2.05 x 10-27 J |
| n=3 | 2.40 x 10-27 J |
| n=4 | 2.99 x 10-27 J |
| n=5 | 3.97 x 10-26 J |
Please thoroughly explain every step and equation as I've been attempting this question for hours and still do not understand.
In: Chemistry
The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow has been collected in the Microsoft Excel Online file below. Open the spreadsheet and perform the required analysis to answer the questions below.
| Weekly Gross Revenue ($1000s) | Television Advertising ($1000s) | Newspaper Advertising($1000s) |
| 97 | 6 | 1.5 |
| 91 | 2 | 2 |
| 96 | 5 | 1.5 |
| 93 | 2.5 | 2.5 |
| 95 | 4 | 3.3 |
| 94 | 3.5 | 2.3 |
| 95 | 2.5 | 4.2 |
| 94 | 3 | 2.5 |
Predicted Revenue
| 755 | 4.7 | 3.6 |
| SUMMARY OUTPUT | |
| Regression Statistics | |
| Multiple R | 0.963069407 |
| R Square | 0.927502683 |
| Adjusted R Square | 0.898503756 |
| Standard Error | 0.588366119 |
| Observations | 8 |
ANOVA
| df | SS | MS | F | Significance F | |
| Regression | 2 | 22.14412655 | 11.07206327 | 31.98403459 | 0.001415158 |
| Residual | 5 | 1.730873452 | 0.34617469 | ||
| Total | 7 | 23.875 |
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
| Intercept | 86.48629019 | 1.219629396 | 70.91194298 | 1.06E-08 | 83.35113302 | 89.62144736 |
| Television Advertising($1000s) | 1.507601755 | 0.18912664 | 7.971387629 | 0.000501255 | 1.021436251 | 1.993767259 |
| Newspaper Advertising($1000s) | 1.017324671 | 0.28514978 | 3.567685274 | 0.016083057 | 0.284323826 | 1.750325516 |
Use ?? = .01 to test the hypotheses for the model y = ??0 + ??1??1 + ??2??2 + ??, where:
H0: ??1 = ??2 = 0
Ha: ??1 and/or ??2 ?0
Compute the F test statistic (to 2 decimals).
31.98
What is the p-value?
Less than .01
What is your conclusion?
The overall model is significant.
Use ?? = .05 to test the significance of ??1. Compute the t test statistic (to 2 decimals).
7.97
What is the p-value?
Less than .01
What is your conclusion?
Significant relationship between television advertising and revenue
Should x1 be dropped from the model?
No, x1 should not be dropped from the model.
Use ?? = .05 to test the significance of ??2. Compute the t test statistic (to 2 decimals).
3.57
What is the p-value?
Between .01 and .02
What is your conclusion?
Significant relationship between newspaper advertising and revenue
Should x2 be dropped from the model?
No, x2 should not be dropped from the model
The owner plans to spend (in $1000s) $4.7 on television advertising and $3.6 on newspaper advertising. What is the expected revenue (in $1000s) for this advertising combination (to the nearest whole number)?
$????????????????
In: Statistics and Probability
The data from data47.dat contains information on 78
seventh-grade students. We want to know how well each of IQ score
and self-concept score predicts GPA using least-squares regression.
We also want to know which of these explanatory variables predicts
GPA better. Give numerical measures that answer these questions.
(Round your answers to three decimal places.)
(Regressor: IQ) R 2
(Regressor: Self-Concept) R 2
obs gpa iq gender concept 1 7.94 111 2 68 2 8.292 115 2 65 3 4.643 106 2 61 4 7.47 112 2 70 5 8.882 117 1 65 6 7.585 105 2 70 7 7.65 97 2 66 8 2.412 90 2 39 9 6 105 1 49 10 8.833 138 2 57 11 7.47 101 1 71 12 5.528 107 1 61 13 7.167 114 2 46 14 7.571 112 1 68 15 4.7 98 1 46 16 8.167 103 1 81 17 7.822 121 1 65 18 7.598 106 1 67 19 4 114 2 57 20 6.231 108 1 71 21 7.643 117 2 76 22 1.76 81 2 55 24 6.419 103 1 39 26 9.648 112 2 50 27 10.7 130 1 67 28 10.58 116 2 59 29 9.429 123 2 44 30 8 94 2 78 31 9.585 116 2 54 32 9.571 126 1 64 33 8.998 97 1 63 34 8.333 106 1 60 35 8.175 110 2 74 36 8 123 2 62 37 9.333 91 1 91 38 9.5 111 2 54 39 9.167 103 2 52 40 10.14 110 1 67 41 9.999 124 1 98 43 10.76 116 2 79 44 9.763 125 2 71 45 9.41 109 2 71 46 9.167 103 2 70 47 9.348 116 2 80 48 8.167 121 2 71 50 3.647 95 2 50 51 3.408 98 1 46 52 3.936 97 2 48 53 7.167 87 2 71 54 7.647 119 2 71 55 .53 60 2 44 56 6.173 107 2 71 57 7.295 107 2 55 58 7.295 114 1 71 59 8.938 121 1 59 60 7.882 112 1 60 61 8.353 114 2 56 62 5.062 116 2 67 63 8.175 116 2 65 64 8.235 114 2 74 65 7.588 110 2 50 68 7.647 100 2 85 69 5.237 107 1 52 71 7.825 114 2 47 72 7.333 86 1 58 74 9.167 109 2 36 76 7.996 98 2 72 77 8.714 116 1 60 78 7.833 103 1 62 79 4.885 101 2 39 80 7.998 105 1 46 83 3.82 79 2 36 84 5.936 108 1 33 85 9 99 1 78 86 9.5 106 1 47 87 6.057 107 2 60 88 6.057 94 1 64 89 6.938 115 2 44
In: Statistics and Probability
The data from data257.dat contains information on 78 seventh-grade students. We want to know how well each of IQ score and self-concept score predicts GPA using least-squares regression. We also want to know which of these explanatory variables predicts GPA better. Give numerical measures that answer these questions. (Round your answers to three decimal places.)
gpa iq gender concept 1 7.94 125 2 41 2 8.292 115 2 69 3 4.643 122 2 28 4 7.47 128 2 50 5 8.882 121 1 51 6 7.585 110 2 69 7 7.65 94 2 68 8 2.412 74 2 42 9 6 82 1 59 10 8.833 126 2 63 11 7.47 107 1 55 12 5.528 108 1 52 13 7.167 101 2 58 14 7.571 103 1 81 15 4.7 111 1 40 16 8.167 115 1 61 17 7.822 106 1 64 18 7.598 111 1 68 19 4 99 2 33 20 6.231 97 1 53 21 7.643 117 2 59 22 1.76 92 2 19 24 6.419 102 1 72 26 9.648 121 2 44 27 10.7 136 1 43 28 10.58 122 2 60 29 9.429 116 2 55 30 8 112 2 64 31 9.585 129 2 63 32 9.571 113 1 73 33 8.998 137 1 60 34 8.333 129 1 69 35 8.175 119 2 60 36 8 87 2 61 37 9.333 122 1 71 38 9.5 102 2 53 39 9.167 117 2 68 40 10.14 130 1 49 41 9.999 114 1 64 43 10.76 108 2 57 44 9.763 109 2 80 45 9.41 112 2 66 46 9.167 113 2 53 47 9.348 115 2 76 48 8.167 121 2 59 50 3.647 103 2 47 51 3.408 102 1 50 52 3.936 102 2 48 53 7.167 117 2 34 54 7.647 115 2 49 55 .53 90 2 15 56 6.173 112 2 51 57 7.295 100 2 52 58 7.295 119 1 74 59 8.938 113 1 64 60 7.882 107 1 57 61 8.353 120 2 58 62 5.062 79 2 34 63 8.175 113 2 56 64 8.235 93 2 48 65 7.588 91 2 42 68 7.647 122 2 44 69 5.237 107 1 54 71 7.825 121 2 91 72 7.333 108 1 66 74 9.167 117 2 67 76 7.996 110 2 49 77 8.714 110 1 62 78 7.833 106 1 65 79 4.885 106 2 62 80 7.998 126 1 83 83 3.82 101 2 53 84 5.936 100 1 52 85 9 104 1 56 86 9.5 113 1 83 87 6.057 109 2 60 88 6.057 104 1 62 89 6.938 119 2 48
(Regressor: IQ) R 2
=
(Regressor: Self-Concept) R 2
=
In: Statistics and Probability