In your own words, explain the connection between monophyly, synapomorphy, and homology. In your discussion, use limbs as a synapomorphy to tetrapods.

The following are short answer-type questions about not-for-profit colleges or universities. Remember to cite your source. 1. For purposes of external reporting, which generally accepted accounting principles are applicable to private colleges and universities? Examples would be FASB, GASB, and/or other accounting. 2. For purposes of external reporting, which accounting principles are applicable to public (governmental) colleges or university? Examples would be FASB, GASB, and/or other accounting. 3. Where and how should public (governmental) colleges or universities report state appropriations? Explain what state appropriations are. 4. Dorian College, a not-for-profit institution, issued $20,000,000 in revenue bonds. Per the terms of the bond indenture, the college must maintain a cash reserve of $800,000 – which is equal to six months of interest. How should the cash that is set aside be classified? 5. What is an auxiliary enterprise? Explain and give an example. 6. A government university receives a grant of $2,000,000 to improve its baseball field and stands. In its statement of cash flows, where should the cash flow be shown for the grant of $2,000,000? (for example, what type of cash flow activity?) Why? 7. A not-for-profit university receives an unrestricted contrition of $200,000. In its statement of cash flows, in which activity category would the cash inflow of $200,000 be shown? Why?

What are the main components of money supply? (b) How can the Bank of Ghana use its prime rate, open market operations and the required reserve ratio to control money supply? c). State and briefly explain the main objectives of monetary policy? d) What is the relation between the required reserve ratio and the money multiplier?

A manufacturer wants to compare the number of defects on the day shift with the number on the evening shift. A sample of production from recent shifts showed the following defects:

Day Shift 5 8 7 6 9 7

Evening Shift 8 10 7 11 9 12 14 9

The objective is to determine whether the mean number of defects on the night shift is greater than the mean number on the day shift at the 95% confidence level.

1. State the null and alternate hypotheses.

2. What is the level of significance?

3. What is the test statistic?

4. What is the decision rule?

5. Use the Excel Data Analysis pack to analyze the problem. Include the output with your answer. (Note: You may calculate by hand if you prefer).

6. What is your conclusion? Explain.

7. Does the decision change at the 99% confidence level?

A manufacturer wants to compare the number of defects on the day shift with the number on the evening shift. A sample of production from recent shifts showed the following defects:

Day Shift                     5          8          7          6          9          7

Evening Shift              8          10        7          11        9          12            14        9

The objective is to determine whether the mean number of defects on the night shift is greater than the mean number on the day shift at the 95% confidence level.

1. State the null and alternate hypotheses.
2. What is the level of significance?
3. What is the test statistic?
4. What is the decision rule?
5. Use the Excel Data Analysis pack to analyze the problem. Include the output with your answer. (Note: You may calculate by hand if you prefer).
6. What is your conclusion? Explain.
7. Does the decision change at the 99% confidence level?

A manufacturer wants to compare the number of defects on the day shift with the number on the evening shift. A sample of production from recent shifts showed the following defects: Day Shift 5 8 7 6 9 7

Evening Shift 8 10 7 11 9 12 14 9

The objective is to determine whether the mean number of defects on the night shift is greater than the mean number on the day shift at the 95% confidence level.

State the null and alternate hypotheses.

What is the level of significance? What is the test statistic? What is the decision rule? Use the Excel Data Analysis pack to analyze the problem. Include the output with your answer. (Note: You may calculate by hand if you prefer). What is your conclusion? Explain. Does the decision change at the 99% confidence level?

Janet was asked the following question on her Probability Test:    Q: A class has 7 boys and 6 girls. The teacher will be picking two volunteers at random to do the recycling. What is the probability that the teacher picks one boy and one girl?

Janet's answer along with her explanation is shown below:

Well there is a 7/13 chance of picking a boy and a 6/13 chance of picking a girl- therefore, the probability of picking a boy AND a girl will be P(Boy) x P(Girl) = 7/13x6/13=42/169=25%.

Explain , in detail if you agree with her answer. Include in your answer references to independent and dependent events. If you agree that her answer is correct, explain why. If you disagree with her answers, explain what she did wrong and include the correct solution.

Maria is a Paralegal at Dewey, Cheatham & Howe, a law firm in Arizona. Information about her 2018 income and expenses is as follows:

Income received

Salary                                                                                      $150,000

Taxes withheld from Salary:

Federal Income tax                 $30,000

State Income Tax                         9,000

Social Security Tax                      7,961

Medicare Tax 2,175

Interest income from bank                                                            6,000

Dividend income from U.S. Stocks                                                4,000

Short-Term Capital Gain 2,000

Long-Term Capital Gain 3,000

State income tax refund from last year 500

Expenses Paid:

Unreimbursed dental and eye-care costs 1,800

Property taxes on her home                                                          3,900

Fees paid to town for garbage pickup 400

Stock donated to American Red Cross; FMV $5,000;

Purchased in 2014 for $2,500

Home mortgage interest 10,000

Interest on car loan 300

In addition, she operates a small pottery activity to try to make some money. This year she reported the following income and expenses from this activity:

Revenue from sale of pottery $ 9,000

Depreciation on potter's wheel (3,000)

Property taxes on shed where she does pottery (1,200)

Supplies used such as clay, etc. (6,500)

COMPUTE Maria's TAXABLE INCOME for 2018. Show all supporting computations.

Maria is single, and she elects to itemize her deductions each year. Also assume that her tax profile was similar in the preceding year.

Use U.S. tax laws from 2018.

1. Jenny wants to know which college among the 3 she has attended that is best. In fact, she visited each school this past week. To answer her question, she asked five people at each school to rate how awesome their school is on a scale from 1 to 20, with 20 being the most awesome score possible. The results are below.

DATA:
University of Minnesota:
10
12
14
13
11

Cal State University, Fullerton:
18
20
19
18
17

Irvine Valley College:
18
20
19
20
17

a. State the null and alternative hypotheses.

b. Conduct an ANOVA, showing all your work for each step, and then also report your answers in an ANOVA table like the one below. You need to show both the work for the answers you will present in the table and then also present the completed table itself.

c. Use a Type I error rate of α (alpha) = 0.05, look up your critical F-value.

d. What do you conclude regarding the null hypothesis? Would the p-value be bigger or smaller than alpha?

e. What do you conclude about your research question (use your own words, in everyday language)?

f. Conduct and interpret follow-up t-tests for this ANOVA analysis, including an overall interpretation of the results.