Owen needs a new roof for his home across the 125 freeway near Grossmont College. After extensive research he chooses concrete tile due to its durability. He signs a contract with Marshall of Phoenix Roofing, Inc., an Arizona-based roofing company expanding into the San Diego area. The tiles are delivered the day before installation is to begin. As a standard practise, the tiles are lifted by a crane to the roof, and stacked in piles of 10. Owen questions why the tiles are not yet secured to the slanted roof, but Marshall assures him that the weight of the tiles will keep them in place until installation begins tomorrow. Later that evening Owen feels the room begin to shake. The lamps start shaking, the room begins swaying, the dog begins barking and his Budweiser beer slides off the table, breaking into pieces. It’s an earthquake! He jumps up from the couch and runs for the door, stepping barefoot onto the broken glass. Just as he exits a tile from the roof slips off the stack, slides down the roof and smashes right into Owen’s head. He wakes up the next morning in the ICU with a cracked skull and a major concussion and a severed nerve in his foot caused by the broken beer bottle. Two weeks later he’s released from the hospital. He contacts you, his lawyer. He wants to sue.

You file a lawsuit against Marshall seeking to compensate Owen for his injuries?

a.Which issue will you raise in this lawsuit. (Just the issue)

b.What is the definition of this legal issue? List the elements. (Rule)

c.List facts that Owen will present to the court to prove his case against Marshall? (Be sure to address each element)

d.For this question only we add this fact. Let’s say what caused the tiles to slide off the roof was that a neighbor's tree fell on Owen’s roof, knocking down the tiles. Further investigation showed that the tree was poorly maintained, causing shallow roots and making it more vulnerable to falling. Would this fact help or hurt Marshall’s defense? Explain.

e.In your lawsuit against Marshall you seek punitive damages.

i)What are punitive damages?

ii)Will Owen be entitled to punitive damages if he wins? Explain.

f.You file this lawsuit on Owen’s behalf in federal court.  

i)Federal courts can have jurisdiction in two circumstances. List both.

ii)Can Owen file in federal court? Explain.

g.Let’s say Owen does decide to file his lawsuit in California state court. He serves Marshall at his Phoenix, Arizona, headquarters, telling him to come back to San Diego to defend himself. Marshall claims that California does not have jurisdiction over him because he lives out of state. What will be the result? Explain.

h.Before the parties go to trial, both will participate in the Discovery process.

i)What is the purpose of Discovery?

ii)List three Discovery tools, explaining how each can be used.

Eastern Aviation operated both an airline and several restaurants located near airports. During the year just ended, all restaurant operations were discontinued and the following operating results were reported.

All of these amounts are before income taxes unless indicated otherwise. The company's income tax rate is 40 percent. The nonrecurring loss resulted from damage to a warehouse that is not related to the discontinued restaurant operations. Eastern Aviation had 1,000,000 shares of capital stock outstanding throughout the year.

Required:

a. Prepare a condensed income statement, including proper presentation of the discontinued restaurant operations and the nonrecurring loss. Include all appropriate earnings per share figures.

b. Assume that you expect the profitability of Eastern Aviation operations to decline by 5 percent next year, and the profitability of the restaurants to decline by 10 percent. What is your estimate of the company’s net earnings per share next year?

Eastern Aviation operated both an airline and several restaurants located near airports. During the year just ended, all restaurant operations were discontinued and the following operating results were reported.

All of these amounts are before income taxes unless indicated otherwise. The company's income tax rate is 40 percent. The nonrecurring loss resulted from damage to a warehouse that is not related to the discontinued restaurant operations. Eastern Aviation had 1,000,000 shares of capital stock outstanding throughout the year.

Required:

a. Prepare a condensed income statement, including proper presentation of the discontinued restaurant operations and the nonrecurring loss. Include all appropriate earnings per share figures.

b. Assume that you expect the profitability of Eastern Aviation operations to decline by 5 percent next year, and the profitability of the restaurants to decline by 10 percent. What is your estimate of the company’s net earnings per share next year?

Thirty-two small communities in Connecticut (population near 10,000 each) gave an average of x = 138.5 reported cases of larceny per year. Assume that σ is known to be 44.1 cases per year.

(a) Find a 90% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(b) Find a 95% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(c) Find a 99% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(d) Compare the margins of error for parts (a) through (c). As the confidence levels increase, do the margins of error increase?

As the confidence level increases, the margin of error decreases.As the confidence level increases, the margin of error remains the same.     As the confidence level increases, the margin of error increases.

(e) Compare the lengths of the confidence intervals for parts (a) through (c). As the confidence levels increase, do the confidence intervals increase in length?

As the confidence level increases, the confidence interval remains the same length.As the confidence level increases, the confidence interval decreases in length.     As the confidence level increases, the confidence interval increases in length.

There are two fast food burger chains near your house. You want to determine which one has the shortest wait times. The last ten times you went to “Dan’s Diner,” the wait times were:

12, 13, 13, 16, 17, 19, 19, 20, 22, 24 (minutes)

You then call the statistician for “Burger Barn” and he tells you the following:
“Our mean wait time is 19 minutes, with a standard deviation of 1.65 minutes. Here is

our 5-number summary: {12, 18, 19, 20, 25}”
a.) (2 pts.) Write a 5-number summary {min, Q1, median, Q3, max} for Dan’s Diner.

b.) (3 pts.) Draw box plots for Dan’s Diner and Burger Barn on the same number line (one above the other).

c.) (3 pts.) Compare the two box plots. Which restaurant has shorter wait times? Use statistical language in your answer.

d.) (3 pts.) Complete the table and calculate the standard deviation for Dan’s Diner. Dan’s Diner: 12, 13, 13, 16, 17, 19, 19, 20, 22, 24

Standard Deviation (round to two decimal places):

e.) (3 pts.) Which burger chain has more consistent wait times? Use statistical language in your answer.

Using Porter’s Five Forces Framework, highlight the factors that would reduce sustainable industry profits (to near zero economic profit).  These factors apply to any industry, but you may find it helpful to think of the airline industry in making your selections.

Thirty-three small communities in Connecticut (population near 10,000 each) gave an average of x = 138.5 reported cases of larceny per year. Assume that σ is known to be 43.1 cases per year.

(a) Find a 90% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(b) Find a 95% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(c) Find a 99% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(d) Compare the margins of error for parts (a) through (c). As the confidence levels increase, do the margins of error increase?

As the confidence level increases, the margin of error remains the same.

As the confidence level increases, the margin of error decreases.

As the confidence level increases, the margin of error increases.

(e) Compare the lengths of the confidence intervals for parts (a) through (c). As the confidence levels increase, do the confidence intervals increase in length?

As the confidence level increases, the confidence interval increases in length.

As the confidence level increases, the confidence interval remains the same length.    

As the confidence level increases, the confidence interval decreases in length.

1. Life Expectancy Part 3 Refer to the Data Set AllCountries. (Data sets can be found near the bottom of the Read, Study & Practice section of WileyPLUS.) Use the 199 life expectancies listed and StatKey to answer the following questions.

a. Use an equation editor to formulate the null and alternative hypothesis to test the following claim:

“The average life expectancy for all countries is not 68.9 years.”

b. From the AllCountries data, do your best to randomly select 10 of the 213 life expectancies listed. List the 10 values you selected below. (You can use the 10 values from Graded Problem Set 3 if you’d like.)

Bermuda:80.6

Bulgaria: 74.5

Egypt, Arab Rep.: 71.1

Kora Rep: 81.5

Argentina: 76.2

Panama: 77.6

Canada: 81.4

Korea, Dem. Rep.:69.8

Belarus: 72.5

Belize: 73.9

c. Construct a randomization distribution in StatKey to test the above hypothesis. Take at least 1000 samples. Take a screenshot of your StatKey page, and paste it below. (Your graph will differ from other students.)

d. Find and interpret the p-value in regards to the hypothesis and claim.

I have randomly selected the 10 life expectancies from the data set and hopefully, you don't need anything else from the dataset

Thirty-three small communities in Connecticut (population near 10,000 each) gave an average of x = 138.5 reported cases of larceny per year. Assume that σ is known to be 43.9 cases per year.

(a) Find a 90% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(b) Find a 95% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(c) Find a 99% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(d) Compare the margins of error for parts (a) through (c). As the confidence levels increase, do the margins of error increase?

As the confidence level increases, the margin of error decreases.As the confidence level increases, the margin of error remains the same.     As the confidence level increases, the margin of error increases.

(e) Compare the lengths of the confidence intervals for parts (a) through (c). As the confidence levels increase, do the confidence intervals increase in length?

As the confidence level increases, the confidence interval decreases in length.As the confidence level increases, the confidence interval increases in length.     As the confidence level increases, the confidence interval remains the same length.

How much does a sleeping bag cost? Let's say you want a sleeping bag that should keep you warm in temperatures from 20°F to 45°F. A random sample of prices ($) for sleeping bags in this temperature range is given below. Assume that the population of x values has an approximately normal distribution.

(a) Use a calculator with mean and sample standard deviation keys to find the sample mean price x and sample standard deviation s. (Round your answers to two decimal places.)

(b) Using the given data as representative of the population of prices of all summer sleeping bags, find a 90% confidence interval for the mean price μ of all summer sleeping bags. (Round your answers to two decimal places.)

Do you want to own your own candy store? Wow! With some interest in running your own business and a decent credit rating, you can probably get a bank loan on startup costs for franchises such as Candy Express, The Fudge Company, Karmel Corn, and Rocky Mountain Chocolate Factory. Startup costs (in thousands of dollars) for a random sample of candy stores are given below. Assume that the population of x values has an approximately normal distribution.

(a) Use a calculator with mean and sample standard deviation keys to find the sample mean startup cost x and sample standard deviation s. (Round your answers to one decimal place.)

(b) Find a 90% confidence interval for the population average startup costs μ for candy store franchises. (Round your answers to one decimal place.)

ABC Apartments is a 300-unit complex near Fairway University that attracts mostly university students. The manager has collected the following data and wants to project the number of units leased in Semester 9 using simple linear regression. Here is the information that has been collected:

In answering these questions, you must identify and use the correct independent and dependent variables.

a) The apartment manager wants to forecast the Number of Units Leased as a function of time. What is the linear regression relationship the manager should use and what is the forecast for the Number of Units Leased for Semester 9?

b) Suppose the manager believes that the Number of Units Leased is a function only of University Enrollment. It is believed that there will be a one semester lag between the enrollment and the units leased. In other words, the number of units leased in a semester is a function of the university enrollment in the prior semester. What is the linear regression relationship the manager should use and what is the forecast for the Number of Units Leased for Semester 9?

c) Suppose the manager believes that the Number of Units Leased is a function only of the Average Lease Price for that semester. What is the linear regression relationship the manager should use and what is the forecast for the Number of Units Leased for Semester 9 if the average lease price for that semester is $450?

d) Considering the strength of each of the relationships that you found in parts a) through c), would you use any of these to forecast the Number of Units Leased for Semester 9? Explain your answer.