| Year | Population in Millions | GDP in Trillions of US$ |
| 2014 | 318.86 | 16.29 |
| 2011 | 311.72 | 15.19 |
| 2010 | 309.35 | 14.94 |
| 2009 | 306.77 | 14.54 |
| 2008 | 304.09 | 14.58 |
| 2006 | 298.38 | 14.72 |
| 2004 | 292.81 | 13.95 |
| 2003 | 290.11 | 13.53 |
| 2002 | 287.63 | 12.96 |
| 2001 | 284.97 | 12.71 |
| 2000 | ||
| 1999 | 279.04 | 12.32 |
| 1998 | 275.85 | 11.77 |
| 1990 | 249.62 | 8.91 |
| 1989 | 246.82 | 8.85 |
| 1987 | 242.29 | 8.29 |
| 1986 | 240.13 | 7.94 |
| 1985 | 237.92 | 7.71 |
| 1984 | 235.82 | 7.4 |
| 1982 | 231.66 | 6.49 |
| 1981 | 229.47 | 6.59 |
| 1980 | 6.5 | |
| 1979 | 225.06 | 6.5 |
| 1977 | 220.24 | 6.02 |
| 1976 | 218.04 | 5.73 |
| 1975 | 215.97 | 5.49 |
| 1973 | 211.91 | 5.46 |
| 1972 | 209.9 | 5.25 |
| 1964 | 191.89 | 3.78 |
| 1963 | 189.24 | 3.6 |
| 1962 | 186.54 | 3.42 |
| 1961 | 183.69 | 3.28 |
| 1959 | 177.83 | 3.06 |
| 1958 | 174.88 | 2.92 |
| 1957 | 171.98 | 2.85 |
| 1956 | 168.9 | 2.84 |
| 1954 | 163.03 | 2.61 |
| 1953 | 160.18 | 2.54 |
| 1952 | 157.55 | 2.53 |
| 1951 | 154.88 | 2.4 |
| 1950 | 152.27 | 2.27 |
| 1949 | 149.19 | 2 |
| 1948 | 146.63 | 2.04 |
| 1947 | 144.13 | 1.96 |
Above is a CSV file from the file do the following:
(a) Subset the data to include only those from 1947 to 1964.
(b) Fit a linear regression model, M1, to model
population as a function of the
year using this data from 1947 to 1964.
(c) Predict the population for the missing years 1955 and
1960.
(d) Plot the population versus Year including the predicted values
for 1955 and 1960 in the range 1947 to 1964. The predicted values
must be annotated (marke
In: Statistics and Probability
On 1 January 2010 Sleepless Ltd purchased 2 factory buildings one in Independence street and another in Mandume Ndemufayo Road, for N$250 000 each. Both factory buildings were initially to be used to manufacture beds for sale to retail stores. The buildings are not specialised and could be used for a variety of manufacturing processes. The estimated useful life of each building is 15 years with no residual value.
Sleepless Ltd lost a major customer effective 1 January 2015 and as a result, had surplus factory space for their requirements. Sleepless Ltd enters a contract to lease the factory building in Mandume Ndemufayo road to a tenant with a commencement date of 1 January 2015. The lease term is 5 years. The rental payments are N$100 000 per year, payable annually in arrears and are to be increased by 20% per year over the lease term. The buildings will revert to Sleepless Ltd at the end of the contract.
Sleepless Ltd holds all investment property under the cost model.
Required:
1.1 Discuss briefly whether Sleepless Ltd should classify this lease contract as a finance
or operating lease.
1.2 Record journal entries of the factory building in Mandume Ndemufayo Road for 20 the year ended 31 December 2015,2016,2017,2018 and 2019.
In: Accounting
HMC sold equipment December 5, 2018 for $2,000. It originally purchased the equipment February 1, 2010 for $12,000. The equipment is fully depreciated for book and tax purposes. For tax purposes, the entire gain is recaptured as ordinary income under Section 1245.
Complete Tax forms 4562(Depreciation and Amortization) and 4797(Sale of business property) for the following transaction. Please include all supporting forms used in your calculation. The forms can be found on the IRS's website. I have no way of uploading them to chegg.
In: Accounting
The 2010 General Social Survey asked 1,259 US residents: "Do you think the use of marijuana should be made legal, or not?" 48% of the respondents said it should be made legal.
1. The value 48% is a...
A. sample statistic
B. population parameter
2. Construct a 95% confidence interval for the proportion of US residents who think marijuana should be made legal, and interpret it in the context of the data. Round your results to 3 decimal places.
( , )
3. Identify each of the statements below as TRUE or FALSE.
? True False 1. There is a 95% chance that the proportion of US residents that approved of legalization falls within the interval computed in part 2.
? True False 2. The approval rating of 95% of US residents falls within the interval computed in part 2.
? True False 3. We are 95% confident that the true approval rate of US residents falls within the interval computed in part 2.
? True False 4. If we repeated this study many times, we would expect 95% of future intervals to contain the true approval rating of US residents.
? True False 5. If we repeated this study many times, we would expect the population proportion who approve of marijuana to fall within the interval computed in part 2 95% of the time.
4. A critic points out that this 95% confidence interval is only accurate if the statistic follows a normal distribution, or if the normal model is a good approximation. Is this true for these data?
? Yes No , because ? there are at least 10 successes and 10 failures in the sample there are at least 20 combined successes and failures in the sample the population has more than 10 successes and 10 failures the sample of 1,259 is not large enough for the central limit theorem to apply .
5. A news piece on this survey's findings states, Majority of Americans think marijuana should be legalized.'' Based on your confidence interval, is this news piece's statement justified?
? Yes No , because ? the confidence interval includes reasonable values for the parameter that are below 50% we did not conduct a hypothesis test the confidence interval includes reasonable values for the parameter that are above 50% this is an observational study and not an experiment .
In: Statistics and Probability
General Assignment:
My friend drives a 2010 Nissan Altima with ? 105,500 miles. Assuming he could drive this car for up to 5 more years and then sell, calculate the equivalent uniform annual cost of ownership over the next 5 years.
Specific Instructions:
Estimate 6 costs of ownership over the next 5 years. He knows his car is aging, so at least two of your cash flows need to be gradient cash flows. Explain each of your estimates (e.g. if you estimate a salvage value, explain why). There are many sources of information about costs for cars (library, internet, local mechanics,. . . ). The more specific your information is to this car, the better.
Compute his EUAC, showing work.
Now perform a sensitivity analysis by considering if one of the factors you have estimated was either 20% higher than you estimated or 20% lower than you estimated. How will this affect your EUAC.
Identify one replacement options and calculate the same set of costs of ownership for that car.
Determine if and when you would recommend him to replace his car.
Grading
- Each of the five specific instructions is worth 20 points.
- For each 20-point instruction, 15 points are for following instructions (and correct computation)
I will check one (at random) of your sources, did you estimate 6 cash flows, were 2 of them gradients
I will check your work to see if EUAC is correct.
Discuss the role of economic analysis in the decision-making process.
Discuss what variables are missing from your analysis and why. Discuss the role uncertainty plays in this decision-making process.
“The average salvage value for a 2001 model vehicle today is $1,000.00” [Source X]
- Regardless of whether this information and source are correct,
this uses no specific information about the make/model/mileage, and
doesn't account for 5 more years of lost value by the end of the
horizon.
2. Not showing any work, I can't follow what you did.
- THIS IS TO BE DONE IN GROUPS NO LARGER THAN 2: Vehicles have many
costs of ownership, and there are many sources of information about
them, so I expect different estimates from each of you. If two or
more groups have very similar estimates, I'll be fairly
suspicious.
In: Accounting
In: Accounting
Relaxing after work. The 2010 General Social Survey asked the question: "After an average work day, about how many hours do you have to relax or pursue activities that you enjoy?" to a random sample of 1130 Americans. A 93% confidence interval for the mean number of hours spent relaxing or pursuing activities they enjoy was [1.16, 1.84].
(a) Interpret this interval in context of the data: "There is a 93% chance that the average number of hours spent by Americans relaxing after an average day of work is between 1.16 hours and 1.84 hours."
(b) Suppose another set of researchers reported a confidence interval with a larger margin of error based on the same sample of 1130 Americans. How does their confidence level compare to the confidence level of the interval stated above? . Higher
(c) Suppose next year a new survey asking the same question is conducted, and this time the sample size is 2600. Assuming that the sampled standard deviation does not change, what will be the new margin of error of the 93% confidence interval constructed based on data from the new survey?
I have correctly answered a and b already. I just need help with C
In: Statistics and Probability
Consider a portion of monthly return data (In %) on 20-year Treasury Bonds from 2006–2010.
| Date | Return |
| Jan-06 | 5.12 |
| Feb-06 | 4.14 |
| ⋮ | ⋮ |
| Dec-10 | 5.47 |
| Date | Return |
| ene-06 | 5.12 |
| feb-06 | 4.14 |
| mar-06 | 4.68 |
| abr-06 | 5.25 |
| may-06 | 5.35 |
| jun-06 | 3.64 |
| jul-06 | 4.68 |
| ago-06 | 4.65 |
| sep-06 | 3.55 |
| oct-06 | 3.55 |
| nov-06 | 4.3 |
| dic-06 | 3.54 |
| ene-07 | 3.8 |
| feb-07 | 3.98 |
| mar-07 | 4.33 |
| abr-07 | 4.69 |
| may-07 | 5.37 |
| jun-07 | 4.74 |
| jul-07 | 5.17 |
| ago-07 | 3.22 |
| sep-07 | 4.97 |
| oct-07 | 5.13 |
| nov-07 | 3.35 |
| dic-07 | 3.86 |
| ene-08 | 4.06 |
| feb-08 | 4.64 |
| mar-08 | 4.83 |
| abr-08 | 5.06 |
| may-08 | 5.46 |
| jun-08 | 5.22 |
| jul-08 | 4.29 |
| ago-08 | 4.79 |
| sep-08 | 5.45 |
| oct-08 | 4.85 |
| nov-08 | 3.54 |
| dic-08 | 4.9 |
| ene-09 | 3.6 |
| feb-09 | 4.48 |
| mar-09 | 3.51 |
| abr-09 | 3.72 |
| may-09 | 4.24 |
| jun-09 | 4.36 |
| jul-09 | 5.17 |
| ago-09 | 3.25 |
| sep-09 | 4.74 |
| oct-09 | 5.03 |
| nov-09 | 5.44 |
| dic-09 | 3.55 |
| ene-10 | 4.21 |
| feb-10 | 5.27 |
| mar-10 | 5.07 |
| abr-10 | 3.7 |
| may-10 | 4.65 |
| jun-10 | 4.21 |
| jul-10 | 4.38 |
| ago-10 | 4.29 |
| sep-10 | 4.93 |
| oct-10 | 4.48 |
| nov-10 | 3.32 |
| dic-10 | 5.47 |
Estimate a linear trend model with seasonal dummy variables to
make forecasts for the first three months of 2011. (Round
intermediate calculations to at least 4 decimal places and final
answers to 2 decimal places.)
| Year | Month | yˆt |
| 2011 | Jan | |
| 2011 | Feb | |
| 2011 | Mar |
In: Statistics and Probability
Happy Valley Homecare Suppliers, Incorporated (HVHS), had $ 10.6 million in sales in 2010. Its cost of goods sold was $ 4.24 million, and its average inventory balance was $ 1.81 million.
a. Calculate the average number of days inventory outstanding ratios for HVHS.
b. The average number of inventory days in the industry is 73 days. By how much must HVHS reduce its investment in inventory to improve its inventory days to meet the industry? (Hint: Use a 365-day year.)
In: Finance
Biological Role of Nardonella Endosymbiont in Its Weevil Host.
(Kuriwada et al 2010). Find online to answer.
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0013101
(in your own words):
1. the research question / hypothesis of the paper.
2. Explain the significance of the data shown in Table 1, with regard to the methodology behind the experiments
3. Summarize the results and significance of Figure 3.
4. Did the authors actually demonstrate what is suggested in the title of the paper?
5. With regard to the weevils, is the relationship obligate or facultative, is the transmission of bacteria between generations horizontal or vertical, and what is the level of specificity between host and bacteria?
6. Describe a future experiment that should be conducted in order to follow up on outstanding questions that pertain to the subject of the
In: Biology