Prior to the passing of the Tax Cuts and Jobs Act (2017) some of America’s largest corporations were able to apply questionable, yet legal, schemes to book profits in offshore accounts to avoid (not evade) higher levels of tax expense. These tax savings were substantial, it is estimated multinational corporations had been able to avoid an estimated $90 billion in federal income taxes each year.

Scenario: The Board of Directors, shareholders, and stakeholders are just now learning that the corporation employed offshore banking transactions to minimize tax burdens.

Checklist: As the Chief Financial Officer (CFO) address the following items:

• Explain to what extent the corporation’s shareholders might feel the corporation breached any measures of an entity of the highest ethical standards.
• Explain to what extent the corporation’s Board of Directors might ever feel that you as CFO breached any measures of an entity of the highest ethical standards.
• Use at least two of the ethical viewpoints as presented in “ethical approaches” to provide the ethical reasoning you would use to address your company’s offshore profits issue (also specify the approaches you use).

Submit a 2–3 page paper with an additional title page in APA format.

Great Food Restaurants (GFR), is a national chain of restaurants with locations in all 50 states. The GFR relational database consists of nine tables as shown below. Note the following information about GFR and its database:

• Each restaurant has a unique restaurant number.
• Restaurant size is measured in square feet. Restaurant capacity is the number of patrons the restaurant can seat at one time.
• Suppliers supply food to GFR restaurants. Supplier name is unique in the SUPPLIER table.
• GFR has an aggressive marketing campaign in which it tracks each customer as they patronize GFR restaurants. Customer number is unique across the country.
• In the VISIT table, the Bill is the amount of money the customer spent in a particular GFR restaurant on a particular day. Assume that a customer can go to a particular restaurant only once in a given day.
• Employee number is unique across the GFR chain. In terms of employment, GFR is interested in keeping track only of the GFR restaurant that an employee currently works in.
• State names and region names are unique.
• Inspector numbers are only unique within a state.
• Assume that all states score restaurant inspections on the same 1-100 scale.

RESTAURANT

SUPPLIER

FOODDELIVERY

CUSTOMER

VISIT

EMPLOYEE

STATE

INSPECTOR

INSPECTION

There are 6,000 records in the RESTAURANT table.

There are 200 records in the SUPPLIER table.

There are 1.5 million records in the FOODDELIVERY table.

There are 450,000 records in the CUSTOMER table.

There are 15 million records in the VISIT table.

There are 500,000 records in the            EMPLOYEE table.

There are 50 records in the STATE table.

There are 300 records in the INSPECTOR table.

There are 98,000 records in the INSPECTION table.

Questions

1. What would you do to improve the performance of queries to find a customer by name or would you do nothing? Why?

2. What would you do to improve the performance of queries to find a supplier by phone number or would you do nothing? Why?

3. What would you do to improve the performance of queries requiring a list of the complete records of every GFR restaurant in Tennessee together with a list of their employees, including employee number, name, and salary or would you do nothing? Why?

4. What would you do to improve the performance of a query that seeks the salary of the highest paid employee of any GFR restaurant in Tennessee or would you do nothing? Why?

The population mean and standard deviation are given below. Find the required probability and determine whether the given sample mean would be considered unusual.

For a sample of n=63 , find the probability of a sample mean being less than 19.8 if μ=20 and σ=1.33.

For a sample of n=63 , the probability of a sample mean being less than 19.8 if μ=20 and σ=1.33 is ______.

(Round to four decimal places as needed.)

Would the given sample mean be considered unusual?

The sample mean (would not/ would) be considered unusual because it has a probability that is (less/ greater) than 5%

A. A normal random variable has an unknown mean μ and a standard deviation σ = 2. If the probability that x exceeds 6.5 is .9732; find μ.

B. A standard normal random variable has μ = 0 and a standard deviation σ = 1. Find the probability of less than -2.73.

C. A standard normal random variable has μ = 0 and a standard deviation σ = 1. Find the probability greater than 3.28.

D. A standard normal random variable has μ = 0 and a standard deviation σ = 1. Find the probability between -1.00 and 3.20.

2. An engineering office has a specialized computer for performing a particular analysis. If we assume that the time an engineer spends at this computer in one sitting is describable with an exponential random variable and that the average time spent is 40 minutes, determine the following:

a. The probability the engineer will spend less than 20 minutes at the computer.

b. The probability the engineer will spend 60 minutes at the computer.

c. The probability the engineer will spend more than 1 hour at the computer.

d. Suppose the engineer has already been using the computer for 50 minutes. What is the probability they will use it for more than one additional hour?

2. An engineering office has a specialized computer for performing a particular analysis. If we assume that the time an engineer spends at this computer in one sitting is describable with an exponential random variable and that the average time spent is 40 minutes, determine the following:

a. The probability the engineer will spend less than 20 minutes at the computer

.b. The probability the engineer will spend 60 minutes at the computer.

c. The probability the engineer will spend more than 1 hour at the computer.

d. Suppose the engineer has already been using the computer for 50 minutes. What is the probability they will use it for more than one additional hour?

Using a Deck of Cards:

1. What is the probability of getting an Ace?

2. If in #6 you DID get an Ace, you did NOT put it back into the deck, and then you draw again, what is the probability your second card will also be an Ace?

3. If in #6 you did NOT get an Ace, you did NOT put the card back into the deck, and then you draw again, what is the probability your second card will be an Ace?

4. If in #6, you did NOT get an Ace, you did NOT put the card back into the deck, and then you draw again, what is the probability your second card will be a 7?

As a quality control​ manager, you are responsible for checking the quality level of AC adapters for tablet PCs that your company manufactures. You must reject a shipment if you find 55 defective units. Suppose a shipment of 45 AC adapters has 12 defective units and 33nondefective units. Complete parts​ (a) through​ (d) below assuming you sample 11 AC adapters

 What is the probability that there will be no defective units in the​ shipment?

b. What is the probability that there will be at least 1 defective unit in the​ shipment?

c. What is the probability that there will be 5 defective units in the​ shipment?

d. What is the probability that the shipment will be​ accepted?

(4) The sample space that describes all three-child families according to the genders of the children with respect to birth order is In the experiment of selecting a three-child family at random, compute each of the following probabilities, assuming all outcomes are equally likely.
S = {bbb, bbg, bgb, bgg, gbb, gbg, ggb, ggg}
a. The probability that the family has at least two boys.
b. The probability that the family has at least two boys, given that not all of the children are girls.
c. The probability that at least one child is a boy.
d. The probability that at least one child is a boy, given that the first born is a girl.