The corporate average fuel economy​ (CAFE) standard for mileage is currently 28 miles per gallon of gasoline​ (the defender) for passenger cars. To conserve fuel and reduce air​ pollution, suppose the U.S. Congress sets the CAFE standard at 35 miles per gallon​(the challenger) in 2010. An auto will emit on average 0.8 pounds of carbon dioxide ​(CO2​) per mile driven at 28 miles per​ gallon, and it will emit 0.7 pounds of O2 per mile driven at 35 miles per gallon.

a. How much fuel and carbon dioxide would be saved over the lifetime of a passenger car with the new​ standard? Assume a car will be driven 97,000 miles over its lifetime.

b. If CO2 costs ​$0.02​/lb to capture and​ sequester, what penalty does this place on the​ defender? Should this penalty affect the CAFE replacement​ analysis?

Researcher conducts a study to decide whether support groups improve academic performance for at-risk high school students. Ten such students are randomly selected to take part in the support group for a semester, while the other 10 at-risk students serve as a control group. At the end of the semester, the improvement in GPA versus the previous semester is recorded for each student.
Support Group: 0.5, 0.8, 0.7, 0.7, -0.1, 0.2, 0.4, 0.4, 0.5, 0.4
Control Group: -0.3, 0.0, -0.1, 0.2, -0.1, -0.2, -0.2, 0.0, -0.1, 0.1

At the 10% level, use R to compare the two groups using a permutation test (with 100,000 randomly generated permutations). You need to write your hypotheses, the test statistic, the pvalue, and the decision/conclusion in the context of the problem.

R code for reference:

SupportGroup <- c(0.5, 0.8, 0.7, 0.7, -0.1, 0.2, 0.4, 0.4, 0.5, 0.4)
ControlGroup <- c(-0.3, 0.0, -0.1, 0.2, -0.1, -0.2, -0.2, 0.0, -0.1, 0.1)

mean(SupportGroup);sd(SupportGroup)
mean(ControlGroup);sd(ControlGroup)

#permutation test on difference of means
choose(20,10)#number of possible permutations
new.dat <- c(SupportGroup,ControlGroup)
obs.mean.diff <- mean(SupportGroup) - mean(ControlGroup)
nsim <- 100000
sim.mean.diff <- rep(NA,length=nsim)
for (i in 1:nsim){
grps <- sample(c(rep(1,10),rep(2,10)),replace=FALSE)
sim.mean.diff[i] <- mean(new.dat[grps==1]) - mean(new.dat[grps==2])
}

hist(sim.mean.diff);abline(v=obs.mean.diff,col="red",lty=2)
length(sim.mean.diff[sim.mean.diff<=obs.mean.diff])/nsim #estimated p-value

Blood cocaine concentration (mg/L) was determined both for a sample of individuals who had died from cocaine-induced excited delirium (ED) and for a sample of those who had died from a cocaine overdose without excited delirium; survival time for people in both groups was at most 6 hours. The accompanying data was read from a comparative boxplot in an article.

(a)

Determine the median, fourths, and fourth spread for the ED sample.

medianlower fourthupper fourthfourth spread

Determine the median, fourths, and fourth spread for the Non-ED sample.

medianlower fourthupper fourthfourth spread

Using the following data create a log-log plot. What is the slope and resulting y-intercept? Show calculations.

of the three men, the chances that of politician, a businessman, of an academician will be appointed as a vice-chancellor (vc) of a university are 0.5,0.3 and 0.2 respectively. Probability that the research is promoted to become vc of the university politician, businessman, and academician 0.3, 0.7, and 0.8 respectively. a) determine the probability that research is promoted. b) if reserch is promoted, what is the probability that vc is and academician?

Can you show me how this problem is B

Consider a population in which the frequencies of allele A is p=0.7 and the frequency of a is q=0.3

The fitness of each of the genotypes are as follows:

w_AA = 1

w_Aa = 0.9

w_aa = 0.8

What will be the allele frequencies of p and q after one generation?

• A. p =0.5 q =0.5

• B.

  p = .722

  q = .278

• C.

  p = .70

  q = .30

•   D.

  p = 0.8

  q = 0.2

Ross Co., Westerfield, Inc., and Jordan Company announced a new agreement to market their respective products in China on July 18 (7/18), February 12 (2/12), and October 7 (10/7), respectively. Given the information below, calculate the cumulative abnormal return (CAR) for these stocks as a group. Assume all companies have an expected return equal to the market return. (A negative value should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Do not round intermediate calculations. Round your answers to 1 decimal place.)

Ross Co., Westerfield, Inc., and Jordan Company announced a new agreement to market their respective products in China on July 18 (7/18), February 12 (2/12), and October 7 (10/7), respectively. Given the information below, calculate the cumulative abnormal return (CAR) for these stocks as a group. Assume all companies have an expected return equal to the market return. (A negative value should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Do not round intermediate calculations. Round your answers to 1 decimal place.)

Topic: Air Miles Canada:

AIR MILES is Canada’s largest coalition loyalty program, with more than ten million active Collector accounts and approximately two-thirds of Canadian households participating in the program. Collectors earn reward Miles by shopping with select sponsors, which can be used to redeem free flights, hotel accommodations, car bookings, merchandise, and more. AIR MILES has over 100 sponsors, including American Express, Toys R Us, Amazon, and more.

The Problem of the case,

The existing car and hotel booking experiences are drastically hurting conversion tunnels

Issues with the AIR MILES Travel booking experiences (flight, car, and hotel) is one, if not the greatest, driver of calls to the call centre, with wait times of up to 4 hours during peak seasons for travel. As a result, AIR MILES needed a redesign of the car and hotel booking experience to address the usability issues that are impacting the conversion tunnel and maintain consistency across the platform following the recent redesign of the flight booking experience.

Questions:

How would a data warehouse assist the marketing team at AIR MILES, going forward?

What functions would it perform that would be most useful?

Would a data-mining program be useful to AIR MILES?

Would it be helpful to Sponsors and Suppliers? If so, how? If not, why not?

Ross Co., Westerfield, Inc., and Jordan Company announced a new agreement to market their respective products in China on July 18 (7/18), February 12 (2/12), and October 7 (10/7), respectively. Given the information below, calculate the cumulative abnormal return (CAR) for these stocks as a group. Assume all companies have an expected return equal to the market return.(A negative value should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Do not round intermediate calculations. Round your answers to 1 decimal place.)