Alternative-Fueled Vehicles The table shows the numbers (in thousands) of alternative-fueled

vehicles A in use in the United States from 1995 to 2011. (Source: U.S. Energy Information Administration)

(a) Use a graphing utility to plot the data. Let t represent the year, with t = 5 corresponding to 1995. (b) A model for the data is

4615.36t − 8726.7

1 + 15.01t − 0.542t2, 5 ≤ t ≤ 21

where t = 5 corresponds to 1995. Use the model to estimate the numbers of alternative-fueled vehicles in 1996, 2006, and 2011. How do your answers compare to the original data?

(f ) Use the model to predict the numbers of alternative-fueled vehicles in 2016 and 2017

* Need help to understand F . Should I be using a particular formula

PART IV - ANALYSIS AND INTERPRETATION OF EPIDEMIOLOGIC RESULTS

The following food exposure information was collected through the cohort study. On January 19, the information was tabulated by epidemiologists from the Argentine MOH. (Table 2)

Table 2. Foods eaten by ill and well bus drivers at the home at the terminal bus stop, January 3-7, 1998. (N=21)

*Matambre is a traditional meat roll in Argentina.

**Mate is green tea.

Question 12: Calculate the appropriate measures of association for these exposures.

Question 13: Interpret the results. What further data analysis/information might help?

For this submission, you will be given a series of scenarios and small collections of data. You should plot the data or calculate probabilities using excel. Then, you will create your own real or hypothetical scenario to graph and explain.

Answer the following:

The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, which represent the observed mean temperature in Boston over the last 20 years:

Is this a normal distribution? Explain your reasoning.

What is an outlier? Are there any outliers in this distribution? Explain your reasoning fully.

Using the above data, what is the probability that the mean will be over 76 in any given July?

Using the above data, what is the probability that the mean will be over 80 in any given July?

The table below contains real data for the first two decades of AIDS reporting.

Graph "year" vs. "# AIDS deaths." Do not include pre-1981. Label both axes with words. Scale both axes. Calculate the following. (Round your answers to the nearest whole number. Round the correlation coefficient r to four decimal places.)

a=

b=

r=

n=

The general fund budget (in billions of dollars) for a U.S. state for 1988 (period 1) to 2011 (period 24) follows.

(b)Develop a linear trend equation for this time series to forecast the budget (in billions of dollars). (Round your numerical values to three decimal places.)

T_t = ____?______

(c)What is the forecast (in billions of dollars) for period 25? (Round your answer to two decimal places.)

$___?_____ billion

James is a college senior who is majoring in Risk Management and Insurance. He owns a high-mileage 1998 Honda Civic that has a market value of $2,800. The current replacement value of his clothes, television sets, stereo set, cell phone, and other property in a rented apartment totals $9,000. He has a waterbed in his rented apartment that has leaked in the past. An avid runner, James runs 5 miles daily in a nearby public park that has the reputation of being very dangerous because of drug dealers, numerous assaults and muggings, and drive-by shootings. For each of the following risks or loss exposures, identify an appropriate risk management technique that could have been used to deal with the exposure. Explain your answer. (3 questions)

1. Liability lawsuit against James arising out of negligent operation of his car

2. Waterbed leak that causes property damage to the apartment

3. Physical assault on James by gang members who are dealing drugs in the park where he runs

6. ​Recently, fixed mortgage rates have been at historical lows due to the housing slowdown. The data table linked below shows the​ 30-year fixed average mortgage rate for the month of December every year between 1987 and 2010.

Year   Rate_(%)
1987   11.09
1988   11.04
1989   10.17
1990   9.93
1991   8.57
1992   8.3
1993   7.25
1994   9.04
1995   7.21
1996   7.06
1997   7.07
1998   6.84
1999   7.65
2000   7.74
2001   7.07
2002   6.84
2003   6.94
2004   6.79
2005   7.02
2006   6.82
2007   6.63
2008   5.88
2009   5.64
2010   5.4

b. Forecast the average December mortgage rate in 2011 using a trend projection ​(Round to two decimal places as​ needed.)

c. Calculate the MAD for this forecast. ​(Round to two decimal places as​ needed.)

d. Determine the Durbin–Watson statistic (Round to two decimal places as​ needed.)

e. Identify the critical values. ​(Round to two decimal places as​ needed.)

Anurag has screened some stocks for investment basis their profits and growth. However he is not able to decide if he should invest in these at the current market rates. You are required to advise him regarding his selected stocks basis the available information. Mask Ltd is currently trading at Rs 525 and expected to yield a return of 8%, has a beta of 11 Sanitizer Ltd which trades at Rs 65 and is expected to yield 12% return, has a beta of 1.3. Quarantine Ltd having a beta of 1.2 is trading at Rs 128 and would deliver a return of 9%. Virus Ltd currently commanding a rate of Rs 1998 may deliver 7% return and has a beta of 0.7. The return on the long term Government bonds is 3.5% and the market risk premium is 5%.

You are required to help Anurag plot the stocks on SML and advise if he should invest in his chosen stocks. Please show appropriate calculations and interpretation to support your advice.

please try to give answer within 1Hr

6. ​Recently, fixed mortgage rates have been at historical lows due to the housing slowdown. The data table linked below shows the​30-year fixed average mortgage rate for the month of December every year between 1987 and 2010.

Year   Rate_(%)
1987   11.09
1988   11.04
1989   10.17
1990   9.93
1991   8.57
1992   8.3
1993   7.25
1994   9.04
1995   7.21
1996   7.06
1997   7.07
1998   6.84
1999   7.65
2000   7.74
2001   7.07
2002   6.84
2003   6.94
2004   6.79
2005   7.02
2006   6.82
2007   6.63
2008   5.88
2009   5.64
2010   5.4

b. Forecast the average December mortgage rate in 2011 using a trend projection ​(Round to two decimal places as​ needed.)

c. Calculate the MAD for this forecast. ​(Round to two decimal places as​ needed.)

d. Determine the Durbin–Watson statistic (Round to two decimal places as​ needed.)

e. Identify the critical values. ​(Round to two decimal places as​ needed.)