Project Number       1   2   3   4   5   6   7   8
                                  
Initial Investment       ($2,000)   ($2,000)   ($2,000)   ($2,000)   ($2,000)   ($2,000)   ($2,000)   ($2,000)
Year 1       $330    $1,666        $160    280    $2,200    $1,200    ($350)
2       330    334        200    280        900    (60)
3       330    165        350    280        300    60
4       330            395    280        90    350
5       330            432    280        70    700
6       330            440    280            1,200
7       330            442    280            2,250
8       1,000            444    280           
9                   446    280           
10                   448    280           
11                   450    280           
12                   451    280           
13                   451    280           
14                   452    280           
15               10,000    (2,000)   280           
                                  
Sum of Cash Flow Benefits       $3,310    $2,165    $10,000    $3,561    $4,200    $2,200    $2,560    $4,150
Excess of Cash Flow                                  
Over Initial Investment       $1,310    $165    $8,000    $1,561    $2,200    $200    $560    $2,150
                                  

1. Note the payback period for each project.
2. Calculate the NPV for each project assuming discount rates of 10%, 12% and 14% (round your answers to whole dollars).
3. Compute the IRR for each project (round your answers to one decimal place).
4. Use the above data to rank the 8 projects. Provide a few words to explain your ranking.

A hotel has 8 air conditioners that each have a pre- determined area liberation rate. The carbon dioxide (COx) emission rates (in ppm) are measured for each. The pollution rate is expected to be a linear function of the area liberation rate.

(a) Write out the equation of the regression line. Interpret the slope and intercept in the context of this problem. Do they make sense? Include a scatter plot of the data with the correct regression line added.

(b) Test the hypothesis that the linear relationships exist between the predictor and response variable (ANOVA, t-test for β1, t-test for ρ, or a confidence interval for β1).

(c) What is the R2 for the SLR you have obtained? What does the value mean? Use it to evaluate the linear model.

(d) Plot the standardized residuals against the independent variable. What can you say about the regression using this graph? (HINT: Are there outliers? Does it seem reasonable to claim the data has a linear fit?)

Skysong Company’s record of transactions concerning part X for the month of April was as follows.

Calculate average-cost per unit. Assume that perpetual inventory records are kept in units only. (Round answer to 4 decimal places, e.g. 2.7682.)

Compute the inventory at April 30 on each of the following bases. Assume that perpetual inventory records are kept in units only. (1) First-in, first-out (FIFO). (2) Last-in, first-out (LIFO). (3) Average-cost. (Round final answers to 0 decimal places, e.g. 6,548.)

If the perpetual inventory record is kept in dollars, and costs are computed at the time of each withdrawal, what amount would be shown as ending inventory under (1) FIFO, (2) LIFO and (3) Average-cost? (Round average cost per unit to 4 decimal places, e.g. 2.7621 and final answers to 0 decimal places, e.g. 6,548.)

I want  ANOVA hand calculation and if possible output of any design analysis software and find the Normal Probability check of original data and residual, Model regression, Validity of models and Hypothesis testing of coefficient significant

NOTE: I need hand calculation

Thank you

Identify this current event highlighted in the news that relates to business strategy. You will submit a report that should include written analysis of the current event. In the report, you must discuss the current event, and then discuss how it affects the strategy of businesses that may be impacted by the current event.

Airbnb Hires New CFO From Amazon

Airbnb Inc. has hired another executive from Amazon.com Inc., this time naming Dave Stephenson as chief financial officer of the vacation-rental portal ahead of a potential initial public offering.

Mr. Stephenson will join the San Francisco-based company in early January, according to a company blog post, and will report to Airbnb Chief Executive Brian Chesky. He joins Airbnb after 17 years at Amazon, where he was most recently vice president and finance chief of the company’s world-wide consumer organization and responsible for Amazon’s global web sales.

Before that, he was vice president for Amazon’s international consumer business and oversaw the finances of various business units, including the North American retail operation, merchant services and Amazon Web Services.

Mr. Stephenson left Amazon for a brief stint to work as president and CFO of Big Fish Games Inc., a maker of computer and smartphone games, and served for nearly a decade at Procter & Gamble Co. on various finance and engineering roles, Airbnb said.

“Dave is one of the best financial operators in the world and there’s no one better prepared to serve as our CFO,” Mr. Chesky said in the blog post. “In the years ahead, Dave will be Airbnb’s quarterback for long-term growth, driving us to be even more efficient and leverage what makes Airbnb unique to create new businesses and continue to expand.”

Mr. Chesky has said Airbnb is preparing for an IPO in 2019, but the timing is uncertain. Airbnb was valued by investors at $31 billion as of a capital raise in March 2017.

In September, the company had requested the U.S. Securities and Exchange Commission change its rules that could potentially allow the home-sharing platform to give hosts stock in the company.

Mr. Stephenson will succeed Laurence Tosi, who stepped down from Airbnb in February to focus on his investment fund.

“I am thrilled to be joining and bringing my experience leading fast-growing businesses at scale to help Airbnb accelerate its already incredible growth,” Mr. Stephenson said in the blog post.

Airbnb earlier this year hired another executive from Amazon, Greg Greeley, who became president of its homes unit.

Compensation details for Mr. Stephenson weren’t immediately available. Airbnb didn’t immediately respond to a request for additional comment. Amazon declined to comment.

Corrections & Amplifications
Greg Greeley is the president of Airbnb’s homes unit. An earlier version of this article incorrectly named him Mr. Geeley. (Nov. 26)

I've done May 1st-4th

TOTAL ASSETS $_____________ = TOTAL LIABILITIES AND OWNER’S EQUITY $____________

A. Elvis Li opened a business bank account for his cleaning supplies company on March 1 with a deposit of $10,000.

B. Elvis Li Cleaning Supplies Co. sold $1,900 supplies to its customers on account. Cost of supplies sold was $1,200.

C. Elvis Li Cleaning Supplies Co. bought inventory for $10,000 on account suppliers on March 7.

D. Elvis Li Cleaning Supplies Co. sold inventory on account to customers on March 15 for $3,000. Cost of supplies sold was $2,500.

E. Elvis Li Cleaning Supplies Co. paid trucking fee of $500 in cash on March 16 to deliver goods to customers.

F. Elvis Li withdrew $4,000 cash from the company for personal use on March 29.

G. Company paid March trucking fee of $3,000 in cash on March 29.

H. On March 30, Elvis Li invested $5,000 more of his own cash in Elvis Li Cleaning Supplies Co.

Use the following information to complete the questions below

Hypothesis: Women exposed to lead paint in childhood (exposure) are at higher risk of having a child with low birth weight (disease outcome).

Calculate the odds of exposure (early lead paint exposure) among women who had a child with low birth weight. Enter your answer with 3 decimal places below.

Calculate the odds of exposure (early lead paint exposure) among women who had a child who was not low birth weight. Enter your answer with 3 decimal places below.

Calculate the odds ratio (OR) of having a low birth weight child comparing women with lead paint exposure in childhood to women without lead paint exposure. Enter your answer with 2 decimal places below.

Does it appear to you that women who have early exposure to lead paint are more likely to have a low birth weight children compared to women not exposed to lead paint? Explain your answer in 1-2 sentences.

In 2017, Rogers, Bohlender, and Huff published a paper entitled Early History of Neanderthals and Denisovans. In this paper, they provide DNA evidence to support the hypothesis that Neanderthals and Denisovans diverged much earlier than previously thought (supporting “Hypothesis A” instead of “Hypothesis B” from this week’s lecture). Below is the authors’ summary of their paper:

Neanderthals and Denisovans were human populations that separated from the modern lineage early in the Middle Pleistocene. Many modern humans carry DNA derived from these archaic populations by interbreeding during the Late Pleistocene. We develop a statistical method to study the early history of these archaic populations. We show that the archaic lineage was very small during the 10,000 y that followed its separation from the modern lineage. It then split into two regional populations, the Neanderthals and the Denisovans. The Neanderthal population grew large and separated into largely isolated local groups.

Answer these

a. DNA extraction methods today are more reliable but are essentially the same sort of process. Why is it so important to keep ancient bone samples as uncontaminated with organic material as possible?

b. How can studying Neanderthal and Denisovan DNA help us understand ourselves?

Distributions of gestation periods​ (lengths of​ pregnancy) for a particular animal are roughly​ bell-shaped. The mean gestation period for this animal is

268 days, and the standard deviation is 10 days for females who go into spontaneous labor. Which is more​ unusual, a baby being born 10 days early or a baby being born

10 days​ late? Explain. Select the correct choice below​ and, if​ necessary, fill in the answer boxes to complete your choice.

.A baby being born 10 days early is more unusual because its corresponding​ z-score, nothing​, is further from 0 than the corresponding​ z-score of nothing for a baby being born 10 days late. ​(Type integers or decimals rounded to two decimal places as​ needed.)

B.A baby being born 10 days late is more unusual because its corresponding​ z-score, nothing​, is further from 0 than the corresponding​ z-score of nothing

for a baby being born 10 days early. ​(Type integers or decimals rounded to two decimal places as​ needed.)

C. Both events are equally likely.