Carolina Wood Products, Inc., a major manufacturer of household furniture, is interested in predicting expenditures on furniture (FURN) for the entire United States.

1. Estimate the bivariate linear trend model for the data where TIME=1 for 2007, Q1 through TIME=40 for 2016, Q4.

   FURN = a + b(TIME)

2. Evaluate this model in one paragraph, with particular emphasis on its usefulness in forecasting.
3. Prepare a time-trend forecast of furniture and household equipment expenditures for 2017 based on the model in (b).

   Period	Time	Trend Forecast
   2017 Q1	41
   2017 Q2	42
   2017 Q3	43
   2017 Q4	44

A publisher reports that 69% of their readers own a particular make of car. A marketing executive wants to test the claim that the percentage is actually over the reported percentage. A random sample of 200 found that 78% of the readers owned a particular make of car. Is there sufficient evidence at the 0.10 level to support the executive's claim?

Step 2 of 7 : Find the value of the test statistic. Round your answer to two decimal places.

Step 3 of 7 : Specify if the test is one-tailed or two-tailed.

Step 4 of 7 : Determine the P-value of the test statistic. Round your answer to four decimal places

Step 5 of 7 : Identify the value of the level of significance.

Step 6 of 7 : Make the decision to reject or fail to reject the null hypothesis.

Step 7 of 7 : State the conclusion of the hypothesis test.

A man of 50.0 kg mass is in equilibrium between two parallel plates. The man is charged up to + 130. mC of charge. The plates are 1.75 meters apart.

a. Draw a Free Body Diagram of the man. Hint: He is like a giant oil drop.

b. What must be the value of the electric force to keep him suspended between the plates?

c. What is the value of the electric field between the plates?

d. What must be the obvious direction of the electric force?

e. Is the top plate positive or negative?

f. What is the potential difference between the plates?

g. If the area of one plate is 20.0 m², what is the charge on one of the plates?

2. An electron initially at rest is accelerated between two parallel plates 2.000 cm apart. The area between the plates is in a vacuum. The potential difference across the plates is 300.0 V.

a.What kinetic energy does the electron have when it hits the positive plate?

b.What is the electric field between the plates?

c.What is the electric force on the electron between the plates?

d.If the plates have an area of 400.0mm², what is the capacitance of these plates?

The following data is representative of that reported in an article on nitrogen emissions, with x = burner area liberation rate (MBtu/hr-ft²) and y = NO_x emission rate (ppm):

(a) Assuming that the simple linear regression model is valid, obtain the least squares estimate of the true regression line. (Round all numerical values to four decimal places.)
y =____

(b) What is the estimate of expected NO_x emission rate when burner area liberation rate equals 225? (Round your answer to two decimal places.)
ppm _______

(c) Estimate the amount by which you expect NO_x emission rate to change when burner area liberation rate is decreased by 50. (Round your answer to two decimal places.)
ppm_______

(d) Would you use the estimated regression line to predict emission rate for a liberation rate of 500? Why or why not?

Yes, the data is perfectly linear, thus lending to accurate predictions.

Yes, this value is between two existing values.    

No, this value is too far away from the known values for useful extrapolation.

No, the data near this point deviates from the overall regression model.

A school psychologist wants to examine the effects of excessive television viewing on reading ability. It is known that the average number of words read per minute for a fourth grade student is µ =52. The psychologist has students log the number of hours one watches TV for two weeks. Fifteen students who average 3 or more hours of television viewing each night are selected to participate in the study. Can the school psychologist conclude that excessive television viewing decreases reading ability? Use the reading data below to analyze in StatCrunch or SPSS. Test at the .05 level.

Step 1: Develop Hypotheses:

a.     Independent Variable =                                                  Scale: Categorical           Quantitative          (1.5 pts)

b.    Dependent Variable =                                                     Scale: Categorical           Quantitative          (1.5 pts)

c.     Circle:     One-tailed       Two-tailed (.05 pt

d.    Alternative hypothesis in sentence form (1 pt).                                                                                                                                                      

e.     Null hypothesis in sentence form (1 pt).   

f.     Write the alternative and null hypotheses using correct notation (2 pts)

                                                     H₁:                                                                H₀:                                                                                                                         

Step 2: Establish significance criteria (.05 pt)

g.     a =

Step 3: Calculate test statistic, effect size, confidence interval

h.    t_calculated =                                                           Level of significance (p) =                                                                   (1 pt)                         

i.     Decision:      reject null     or                   fail to reject null                                                 (1 pt

j.     Calculate effect size =                                                                                                                                                        (2 pts)                                                                                                                               

k.    Determine the 99% confidence interval:                                                                                                                                                         (1 pt)                                                                                                                                                                                                     

Step 4: Draw conclusion

l.     Write your conclusion in sentence form including appropriate results notation (3 pts).

Case Study #1                          WALITAN CONSTRUCTION COMPANY

Ashley Wesley is the assistant controller at the Walitin Construction Company. Walitin is headquartered in Miami, Florida, and has a general contractor’s license in 30 differ­ent states. It is a privately held company with about 5,000 stockholders, with the majority of the stock being owned by the Walitin family.

Roberta Walitin has been the CEO of Walitin Construction for the previous 12 years. Everyone considers her an excellent leader with excellent business skills. She has an undergraduate degree from the University of Illinois in engineering and an MBA from the same school with a concentration in accounting.

Roberta has always insisted on ethical business practices, so two years ago she worked
with Ashley to set up an ethics hotline, which Ashley personally manages on a daily
basis. Anyone either inside or outside of the company can submit tips anonymously by e-mail, telephone, or a special Web page she had set up. There is a prominent link to the hotline on the home page of the company’s Web site.

Since Ashley set up the hotline, she has received three tips, all via the Web. In every case, the tip was about a subcontractor overbilling the company for services ren­dered. In two of the cases, she was unable to confirm or disconfirm whether there was fraud, mainly because it is almost impossible to investigate the work of a sub­contractor on a job that has already been completed. But in the other case, she caught a roofer billing for fictitious work. She did not report the fraud to authorities, but Roberta did immediately replace the subcontractor with another roofing company. Ashley reports to Bob Benson, Walitin’s controller. He’s been with the company for many years and works very closely with Roberta. His main interest seems to be producing the financial statements and working with her to obtain new clients. Roberta and Bob spend large periods of their time going to lunches with clients, participating in civic meetings, and helping in small community-service construc­tion projects.

Because Bob is busy so much of the time with outside activities, Ashley pretty much runs everything in accounting on her own except for the software and hardware, which Bob manages in conjunction with the head of the IT department.

Bob is not interested in details, and anytime Ashley tries to explain something to him, he simply waves a hand and says, “Don’t worry me with operational issues. Just take care of it.” Ashley has learned to live with his hands-off approach.

Overall, Ashley runs everything smoothly. Her main problem is that Betty Grabber, the senior accountant reporting to her, wants Ashley’s job. To make things worse, Betty is a niece of Roberta Walitin’s husband.

Betty is a very wily person. Her goal is to have Ashley fired, and she’s been using her family connections to get the message to Roberta that Ashley is scheming to have Bob Benson, the controller, fired. Ashley also suspects that Betty has been spreading a rumor that she’s planning to go to work for a competitor if she is not successful in tak­ing over Bob’s job.

Ashley is unsure as to whether Bob is aware of the rumors. He seems to be avoiding her recently, and there seems to an edge in his usually friendly voice. Ashley is feeling depressed just thinking about it. She’s heard that Bob is having serious marital prob­lems. Perhaps those problems are affecting the way he acts.

This morning Ashley had a major surprise when she started reading her e-mail, which contained a new anonymous tip. Someone had submitted it last night via the Web, and it had automatically been forwarded to her via e-mail. The tip read as follows:

To: Walitin Tip System

From: http://[email protected]

Sent: Tuesday 8/1/2015

Ms. Wesley,                                                                

I’m sending this tip to help you. I understand what you are going through. You’re working for a liar and a thief. Bob Benson is hacking the accounting system to produce fraudulent financial statements. He’s doing it in such a way that you’ll get the blame. It’s going to be a big mess.

What should Ashley do? Should she try to investigate? Should she report the tip to Roberta?

Evaluate Walitin’s hotline and make recommendations for its improvement.

8. I am interested in whether or not students who fail this statistics course one semester do better on their tests the second time they take the class. To examine this, I record the test scores for a sample of 10 students who took the class last semester and are repeating the class this semester. The test scores for these 10 students are reported below for last semester and this semester. Conduct the appropriate hypothesis test to determine whether or not student scores are significantly greater for students taking the class the second semester compared to their scores the first semester. State a type of a test, the null and research hypotheses, the critical value, obtained t statistic, your conclusion, and interpret your results (Alpha = .05). (6 pt)       

7-9. Give two (2) piping materials with their corresponding schedule # and its application that is available in market today?

10. Give one (1) standard used for piping materials and state one (1) provision regarding that standard?

At a university, students are assigned a system user name, which is used to log into the campus computer network system. As part of your internship with the university's IT department, your assignment is to write the code that generates system user names for students.

You will use the following logic to generate a user name:

1. Get the first three characters of the student's first name. (If the first name is less than three characters use the entire first name.)

2. Get the first three characters of the student's last name. (If the last name is less than three characters use the entire last name)

3. Get the last three characters of the student's ID number. (If the ID number is less than three characters, use the entire ID number.)

4. Concatenate the three sets of characters to generate the user name.

   For example, if a student’s name is Yogi Bear, and his ID number is T0017258, his login name would be YogBear721.

In main, obtain the student’s first name, last name and ID number, then call a function named get_login_name that accepts the student's first name, last name, and ID number as arguments and returns the student's login name as a string.

Next, in main, ask the student to generate a password then call a function to verify that it is correct. Passwords must adhere to the following rules:

• A valid password must be at least seven characters in length,

• Must have at least one uppercase letter, one lowercase letter, and one digit.

python programme