Identify and research a service business in your pathway. Using the internet, go to the company’s website and obtain their most recent (less than 2 years old) Annual Report/10K.

Write a three paragraph discussion post with the following information:

• Name of the company, in the subject line of your post.

• Why are you interested in this company?

• What industry are they in?

• What do they do specifically?

• What is the date of the most recent income statement presented, what was the net income on that statement? If the statement is in millions, state it that way.

Examples of businesses in pathways could be:

• AHCD: Dance, Theater, Film production, Social media, Graphics design or architecture business
• Business: Accounting office, caterer, advertising firm, dry cleaner, restaurant, any business is acceptable
• Education: K-12 tutoring, Child care, Charter schools
• Health Sciences: Dr. or Dentist office, PT office, Hospital, Insurance co,
• IMCT: Engineering Co., Aviation maintenance, Aviation distribution, Supply Chain Management
• Public Safety: Law office, PI, Equipment providers for the industry
• STEM: Engineering Co., Vet. Office, Computer Services co.
• SGSHS: Psychology office, Non-profit agencies, Social Media

You are given the sample mean and the population standard deviation. Use this information to construct the​ 90% and​ 95% confidence intervals for the population mean. Interpret the results and compare the widths of the confidence intervals. If​ convenient, use technology to construct the confidence intervals.

A random sample of 55 home theater systems has a mean price of ​$136.00. Assume the population standard deviation is ​$18.60.

a) The​ 90% confidence interval is ​____

b) The​ 95% confidence interval is ____

c) Interpret the results. Choose the correct answer below.

a.

With​ 90% confidence, it can be said that the population mean price lies in the first interval. With​ 95% confidence, it can be said that the population mean price lies in the second interval. The​ 95% confidence interval is wider than the​ 90%.

b.

With​ 90% confidence, it can be said that the sample mean price lies in the first interval. With​ 95% confidence, it can be said that the sample mean price lies in the second interval. The​ 95% confidence interval is wider than the​ 90%.

c.

With​ 90% confidence, it can be said that the population mean price lies in the first interval. With​ 95% confidence, it can be said that the population mean price lies in the second interval. The​ 95% confidence interval is narrower than the​ 90%.

Java- Fill in the blanks

Print numbers 0, 1, 2, ..., userNum as shown, with each number indented by that number of spaces. For each printed line, print the leading spaces, then the number, and then a newline. Hint: Use i and j as loop variables (initialize i and j explicitly). Note: Avoid any other spaces like spaces after the printed number. Ex: userNum = 3 prints:

0
 1
  2
   3

--------------------------------------------

public class NestedLoop {
public static void main (String [] args) {
int userNum = 0;
int i = 0;
int j = 0;

/* Your solution goes here */

return;
}
}

----------------------------------------------------

Given numRows and numCols, print a list of all seats in a theater. Rows are numbered, columns lettered, as in 1A or 3E. Print a space after each seat, including after the last. Use separate print statements to print the row and column. Ex: numRows = 2 and numCols = 3 prints:

1A 1B 1C 2A 2B 2C 

-----------------------------------------------------------

public class NestedLoops {
public static void main (String [] args) {
int numRows = 2;
int numCols = 3;

// Note: You'll need to declare more variables

/* Your solution goes here */

System.out.println("");

return;
}
}

For each of the following anecdotes, briefly explain (i) why the described is potentially inconsistent with standard economic theory and (ii) why it is potentially consistent with a behavioral theory we learned in this course.

(a) Some students who were about to buy a ticket to a campus theater group were randomly selected and given a discount. Those who were given the discount were much more likely to buy a ticket for a second showing.

(b) The AARP recently asked a series of prominent lawyers to provide services for retirees at a highly discounted rate of $30 an hour. Very few lawyers agreed to do so. Then, the AARP simply asked the lawyers to volunteer their time for free to help the same retirees. At that point, many lawyers agreed to help out

(c) A bank offers two types of savings accounts, called Gold and Silver. The two types of accounts give the same rate of return, but the Silver account does not allow you to withdraw any money for six months. The bank manager is surprised when many people sign up for the Silver account.

(d) Cab drivers in New York City work longer hours on warm, sunny days (when their per-hour wage is low).

Scenario 1 - Ethical Dilemma - Reclassify Employees

You are on the management team of Crystal Clear Electronics (CCE) Inc., a company that specializes in high-quality home theater systems. In addition to selling these systems, CCE provides custom installation on all purchases and is known for the professionalism of its installation staff. This reputation is due to the rigorous policies its home installation staff must follow. All employees are required to attend bi-monthly training sessions, wear CCE uniforms, observe the installation dates and times agreed on by CCE and the customer, and follow any instructions given by CCE as to how to perform the installation.

Faced with shrinking margins and cash flow problems, CCE is looking to cut costs and increase cash flows. You realize that by reclassifying the installation staff as independent contractors, CCE will be able to accomplish both objectives. Because the installation staff would be independent contractors, the company would not have to pay payroll taxes, social security, and Medicare expenses. The reduction in these costs and the corresponding increase in cash flow would certainly help the company's liquidity. Furthermore, such a change would not affect the quality of the service provided and would be virtually invisible to customers.

Question: Discuss the ethical implications of this reclassification.

Plz answer all the questions i'm boutta fail this class

Suppose that for a typical FedEx package delivery, the cost of the shipment is a function of the weight of the package. You find out that the regression equation for this relationship is (cost of delivery) = 3.603*(weight) + 4.733. If a package you want to ship weighs 44 ounces, what would you expect to pay for the shipment?

A. 163.27

B.158.53

C.We do not know the observations in the data set, so we cannot answer that question.

D.10.9

E. 211.85

Suppose that for a typical FedEx package delivery, the cost of the shipment is a function of the weight of the package. You find out that the regression equation for this relationship is (cost of delivery) = 1.971*(weight) + 7.071. Interpret the slope.

A.When weight increases by 1 pound, cost of delivery increases by 7.071 dollars.

B.We are not given the dataset, so we cannot make an interpretation

C.When cost of delivery increases by 1 dollar, weight increases by 1.971 pounds.

D.When cost of delivery increases by 1 dollar, weight increases by 7.071 pounds.

E. When weight increases by 1 pound, cost of delivery increases by 1.971 dollars.

Suppose that a researcher studying the weight of female college athletes wants to predict the weights based on height, measured in inches, and the percentage of body fat of an athlete. The researcher calculates the regression equation as (weight) = 4.459*(height) + 0.85*(percent body fat) - 89.236. If a female athlete is 61 inches tall, has a 22 percentage of body fat, and a weight of 166.425, the residual is -35.038. Choose the correct interpretation of the residual.

A. The weight of the athlete is 35.038 pounds less than what we would expect.

B. The height of the athlete is 35.038 inches less than what we would expect.

C. The height of the athlete is 35.038 inches larger than what we would expect.

D.The weight of the athlete is 166.425 pounds less than what we would expect.

E.The weight of the athlete is 35.038 pounds greater than what we would expect.

While attempting to measure its risk exposure for the upcoming year, an insurance company notices a trend between the age of a customer and the number of claims per year. It appears that the number of claims keep going up as customers age. After performing a regression, they find that the relationship is (claims per year) = 0.28*(age) + 5.17. If a customer is 41 years old and they make an average of 12.95 claims per year, what is the residual?

A.24.35

B.-28.05

C.3.7

D.28.05

E. -3.7

Suppose that in a certain neighborhood, the cost of a home (in thousands) is proportional to the size of the home in square feet. The regression equation quantifying this relationship is found to be (price) = 0.024*(size) + 39.993. You look more closely at one of the houses selected. The house is listed as having 2033.702 square feet and is listed at a price of $104.498 (thousand). The residual is 15.696. Interpret this residual in terms of the problem.

A.The price of the house is 15.696 thousand dollars larger than what we would expect.

B. The price of the house is 104.498 thousand dollars larger than what we would expect.

C. The price of the house is 15.696 thousand dollars less than what we would expect.

D. The square footage is 15.696 square feet larger than what we would expect.

E. The square footage is 15.696 square feet less than what we would expect.

Suppose that a researcher studying the weight of female college athletes wants to predict the weights based on height, measured in inches, and the percentage of body fat of an athlete. The researcher calculates the regression equation as (weight) = 4.715*(height) + 1.108*(percent body fat) - 90.653. If a female athlete is 63 inches tall and has a 15 percentage of body fat, what is her expected weight?

A. Not enough information

B. 404.318

C.313.665

D. 49.876

E.223.012

Suppose the sales (1000s of $) of a fast food restaurant are a linear function of the number of competing outlets within a 5 mile radius and the population (1000s of people) within a 1 mile radius. The regression equation quantifying this relation is (sales) = 1.526*(competitors) + 6.09*(population) + 7.226. Suppose the sales (in 1000s of $) to be of a store that has 5 competitors and a population of 7 thousand people within a 1 mile radius are 54.151 (1000s $). What is the residual?

A. -3.335

B. 52.486

C. 3.335

D. Not enough information

Hermosa, Inc., produces one model of mountain bike. Partial information for the company follows:

2. Calculate Hermosa’s contribution margin ratio and its total contribution margin at each sales level indicated in the table assuming the company sells each bike for $710. (Round your percentage answers to 2 decimal places. (i.e. .1234 should be entered as 12.34%.))

4. Calculate Hermosa’s break-even point in units and sales revenue. (Round your answers to the nearest whole number.)

Three Rivers Inc. provides cable TV and Internet service to the local community. The activities and activity costs of Three Rivers are identified as follows:

a. Identify the cost of quality classification for each activity and whether the activity is value-added or non-value-added.

b. Prepare a cost of quality report. Assume that sales are $3,040,000. If required, round percentages to one decimal place.

c. Prepare a value-added/non-value-added analysis.

d. What percentage of total costs of quality are considered to be value-added?

Three Rivers Inc. provides cable TV and Internet service to the local community. The activities and activity costs of Three Rivers are identified as follows: a. Identify the cost of quality classification for each activity and whether the activity is value-added or non-value-added. Quality Control Activities Activity Cost Quality Cost Classification Value-Added/ Non-Value-Added Classification Billing error correction $24,800 Cable signal testing 69,000 Reinstalling service (installed incorrectly the first time) 53,400 Repairing satellite equipment 18,400 Repairing underground cable connections to the customer 16,100 Replacing old technology cable with higher quality cable 104,300 Replacing old technology signal switches with higher quality switches 119,200 Responding to customer home repair requests 29,900 Training employees 24,900 Total activity cost $460,000 b. Prepare a cost of quality report. Assume that sales are $2,300,000. If required, round percentages to one decimal place. Three Rivers Inc. Cost of Quality Report Quality Cost Classification Quality Cost Percent of Total Quality Cost Percent of Total Sales Prevention $ % % Appraisal % % Internal failure % % External failure % % Total $ % % c. Prepare a value-added/non-value-added analysis. Three Rivers Inc. Value-Added/Non-Value-Added Activity Analysis Category Amount Percent Value-added $ % Non-value-added % Total $ % d. What percentage of total costs of quality are considered to be value-added?

Hermosa, Inc., produces one model of mountain bike. Partial information for the company follows:

  
2. Calculate Hermosa’s contribution margin ratio and its total contribution margin at each sales level indicated in the table assuming the company sells each bike for $700. (Round your percentage answers to 2 decimal places. (i.e. .1234 should be entered as 12.34%.))

4. Calculate Hermosa’s break-even point in units and sales revenue. (Round your answers to the nearest whole number.)