Computer the Depreciation Schedule by using SLD, SOYD, and DDB methods

the university pursed a lab Mass-Spectrometer that has 5 years depreciable life. The instrument costs school $900 with a Salvage Value of $70 after the end of the service life.

1-Built a Depreciation Schedule for this asset by all three methods

2-Build a graphic of each method

3-Which method will you recommend to the university and why?

At a large university, the students have an average creditcarddebt of $2500,with a standard deviation of $1200. If we consider all of the possible random samples of 100students at this university, 95% of thesamples should have means between what two numbers? [HINT-use the 68-95-99.7Rule table in conjunction with the values for the sampling distribution model]

A)$100 and $2620

(B)$300 and $4900

(C)$2140 and $2860

(D)$2260 and $2740

In this time of crisis, the university president has asked you to use Blue Ocean Strategy to reimagine the University. Provide the analysis and let me know what your mvp would be. Be sure to indicate how your solution meets and exceeds the BOS criteria. How would it be 10x? How would the four action framework apply? What would the KPIs be? Write an elevator pitch for your new venture?

(Computational) Applied Statistics
Problem 1: A noted medical researcher has suggested that a heart attack is less likely to occur among adults who actively participate in athletics. A random sample of 300 adults is obtained. Of that total, 100 are found to be athletically active. Within this group, 10 suffered heart attacks; among the 200 athletically inactive adults, 26 had suffered heart attacks.                   
a) Test the hypothesis that the proportion of adults who are active and sufferedheart attacks is different from the proportion of adults who are not active and suffered heart attacks.     
b) Construct a 95% confidence interval for the difference between the proportions of all active and inactive adults who suffered heart attacks.What can you conclude and why?

Problem 2: The data below refer to aluminum contents in soil at two different locations. Summary of the data is provided in the table below. You mayassume that the data are normally distributed.  
Location     n       sample mean    sample standard deviation
       1           5            2935                                235.7657
       2           4            2637                                741.8416
a) Give a 95% confidence interval for the mean aluminum contents at location 1.
b) Give a 95% confidence interval for the mean aluminum contents at location 2.
What are your conclusions from the confidence intervals in (a) and (b)and why?   
c) At , test H0 : =   versus H1 :   
d) Give the approximate p-value for the test in (c).
Problem 3: Nine students were randomly selected who had taken the TOEFL test twice. A researcher would like to test the claim that students who take the TOEFL test a second time score higher than their first test.
Student                            A       B       C        D       E        F       G      H     I
   First TOEFL Score         480   510   530   540   550   560   600   620 660
Second TOEFL Score    460   500   530   520   580   580   560 640 690
Test the claim using a level of significance of 0.05 and construct a 90% confidence interval for µd .
Problem 4: According to reported figures, the average price of used car nationally is $8,000 with a standard deviation of $4,500. A student at annajah national university wants to purchase a used car and wishes to find out if the average used car price in Nablus is less than the national average. The student collected figures on a random sample of 81 used car sales at dealerships across Nablus. The sample mean price was $7,100.
a) State the null and alternative hypotheses, compute the test statistic, find the p-value and what is your conclusion? Use α = 0.05.
b) If the actual mean of the prices is $7500, find the probability of type II error.
c) What value of n is necessary to ensure that β = 0.10 when α = 0.05 and the actual mean is $7500?
Good LuckDr. Ali Barakat

As part of a course project, a statistics student surveyed random samples of 50 student athletes and 50 student non-athletes at his university, with the goal of comparing the heights of the two groups. His summary statistics are displayed in the provided table.

a). Which data analysis method is more appropriate in this situation: paired data difference in means or difference in means with two separate groups? Explain briefly.

b). Construct a 99% confidence interval for the difference in mean heights between student athletes and non-athletes at this university. Use two decimal places in your margin of error.

c). Test, at the 5% level, if student athletes at this university are significantly taller, on average, than student non-athletes. Include all of the details.

11. (20) GPA distribution in UPW university is a normal distribution with an average of 2.68 and a standard deviation of 0.4.

(a) About what proportion of the students have GPA at most 3?

(b) About what proportion of the students’ GPA are between 2 and 3?

(c) The President of the university is establishing a new scholarship, the minimum qualification is that students GPA have to be among top 3%, what is the numerical GPA a student must have in order to qualify?

(d) A students’ club has a minimum GPA requirement of 2.7 or higher. You heard that Kelly is going to attend a club members’ meeting, you are wondering: what is the chance that Kelly’s GPA is lower than 3.3?

(e) If we randomly choose 7 students in the university, what is the chance that at least 2 have GPA over 3.3?

11. (20) GPA distribution in UPW university is a normal distribution with an average of 2.68 and a standard deviation of 0.4.

(a) About what proportion of the students have GPA at most 3?

(b) About what proportion of the students’ GPA are between 2 and 3?

(c) The President of the university is establishing a new scholarship, the minimum qualification is that students GPA have to be among top 3%, what is the numerical GPA a student must have in order to qualify?

(d) A students’ club has a minimum GPA requirement of 2.7 or higher. You heard that Kelly is going to attend a club members’ meeting, you are wondering: what is the chance that Kelly’s GPA is lower than 3.3?

(e) If we randomly choose 7 students in the university, what is the chance that at least 2 have GPA over 3.3?

Search the Internet and/or the University Library using a phrase such as, "companies that use data analysis." If you choose to utilize the University Library, use the following steps: Click on University Library. Click on the Research Guides tab. Click on Business. Enter a phrase like "companies that use data analysis" in the Enter Search Terms field. Evaluate data analysis and data analytics in a minimum of 700 words, and include the following: Identify two or more organizations that utilize data analysis and data analytics. Identify one or more examples of information being collected and analyzed by the organizations. Assess the importance of data analysis on the successful operation of the organizations. Describe how effective application of data science has grown revenues, increased profits, or led to other positive outcomes for at least one of the organizations.

Please complete in C# and use radio buttons on the form for the selections. Thank you!

For this assignment, you will be creating a Dorm and Meal Plan Calculator.

A university has the following dormitories: Allen Hall $1,500 per semester Pike Hall $1,600 per semester Farthing Hall $1,800 per semester University Suites $2,500 per semester The university also offers the following meal plans: 7 meals per week $ 600 per semester 14 meals per week $1,200 per semester Unlimited meals $1,700 per semester Create a multi-form Windows Forms Application with two forms.

The main form should allow the user to select a dormitory and a meal plan. The application should show the total charges on the second form.

Problem 2-2A Preparing and posting journal entries; preparing a trial balance LO C3, C4, A1, P1, P2

Aracel Engineering completed the following transactions in the month of June.

1. Jenna Aracel, the owner, invested $200,000 cash, office equipment with a value of $5,400, and $60,000 of drafting equipment to launch the company.
2. The company purchased land worth $53,000 for an office by paying $9,200 cash and signing a long-term note payable for $43,800.
3. The company purchased a portable building with $58,000 cash and moved it onto the land acquired in b.
4. The company paid $4,700 cash for the premium on an 18-month insurance policy.
5. The company completed and delivered a set of plans for a client and collected $8,800 cash.
6. The company purchased $28,000 of additional drafting equipment by paying $11,400 cash and signing a long-term note payable for $16,600.
7. The company completed $17,500 of engineering services for a client. This amount is to be received in 30 days.
8. The company purchased $1,300 of additional office equipment on credit.
9. The company completed engineering services for $22,000 on credit.
10. The company received a bill for rent of equipment that was used on a recently completed job. The $1,475 rent cost must be paid within 30 days.
11. The company collected $6,000 cash in partial payment from the client described in transaction g.
12. The company paid $2,400 cash for wages to a drafting assistant.
13. The company paid $1,300 cash to settle the account payable created in transaction h.
14. The company paid $915 cash for minor maintenance of its drafting equipment.
15. Jenna Aracel withdrew $10,070 cash from the company for personal use.
16. The company paid $1,900 cash for wages to a drafting assistant.
17. The company paid $2,600 cash for advertisements on the Web during June.

Required:
1. Prepare general journal entries to record these transactions using the following titles: Cash (101); Accounts Receivable (106); Prepaid Insurance (108); Office Equipment (163); Drafting Equipment (164); Building (170); Land (172); Accounts Payable (201); Notes Payable (250); J. Aracel, Capital (301); J. Aracel, Withdrawals (302); Engineering Fees Earned (402); Wages Expense (601); Equipment Rental Expense (602); Advertising Expense (603); and Repairs Expense (604).
2. Post the journal entries from part 1 to the ledger accounts.
3. Prepare a trial balance as of the end of June.