42.(Extra credit) Which of the following is largest?
A. The number of bones in the adult pelvis
B. The number of bones in the right upper appendage
C. The number of bones in the skull (not counting accessory bones) D. The number of bones in the vertebral column
E. The number of true ribs

43.List all of the types of motion possible for the shoulder (glenohumeral) joint.

44.List four types of connective tissue proper.

45.What is the anatomical definition of a membrane (with reference to tissues, not cells)? Give two examples of membranes in the body.

47.Which four layers are typically found in the epidermis layer of thin skin? Describe one thing about each layer.

Suppose the quality control person of a local brewery wants to take a sample of 40 bottles to check the gravity of the beer.

For each of the following, fill in the blank with the sampling method used.

Randomly choosing two boxes (20 bottles each) and testing each bottle. _______________

Label every bottle and randomly pick 40 from the list. _____________________

Test 10 random bottles from each of the four batches of beer. __________________

Randomly choose 8 boxes (20 bottles each) and randomly test 5 bottles from each box. ______________

With 1000 total bottles in production line test every 50th bottle. _____________________

Q1 ) A 1000$ , 6% annual coupon treasury bond that is quoted in the newspaper at 103:5 Ask, coupon interest is paid semi-annually , it has been 130 days since the last coupon payment, half year is 182.5 days , find :

a) What is the accrued interest on the bond on the bond ?

b) If you are to buy the bond , what is the invoice price, how much would you pay for the bonds in other word ?

Q2 ) The Sami’s firm common stock most recent dividends were 2$ per share, dividends are to grow at 8% a year for 3 years (2016,2017,2018) , at the end of year 2018, dividends are to grow at 5% for the foreseeable future , required rate of return is 15% .

What is the shares true value now and that is at the beginning of year 2016 ?

As a fringe benefit for the past 8 years, Colin's employer has contributed $50 at the end of each month into an employee retirement account for Colin that pays interest at the rate of 8%/year compounded monthly. Colin has also contributed $2,000 at the end of each of the last 4 years into an IRA that pays interest at the rate of 10%/year compounded yearly. How much does Colin have in his retirement fund at this time? ​

a. $15,975.43

b. $9,282.00

c. $6,693.43

d. $9,813.83

Supplier on-time delivery performance is critical to enabling the buyer's organization to meet its customer service commitments. Therefore, monitoring supplier delivery times is critical. Based on a great deal of historical data, a manufacturer of personal computers finds for one of its just-in-time suppliers that the delivery times are well approximated by the normal distribution with mean 47.7 minutes and standard deviation 14.5 minutes. A random sample of 8 deliveries is selected.

Round all probabilities to four decimal places and times to two decimal places.

a) What is the probability that a particular delivery will arrive in less than one hour?  

b) What is the probability that the mean time of 8 deliveries will exceed one hour?  

c) Between what two times do the middle 60% of the average delivery times fall?  and

d) What is the probability that, in a random sample of 8 deliveries, more than three will arrive in less than an hour?  

A firm has basic earnings per share of $1.90. If the tax rate is 30%, which of the following securities would be dilutive? (Circle the best answer.) a. Convertible 5% bonds, issued at par, with each $1,000 bond convertible into 20 shares of common stock. b. Convertible 6% bonds, issued at par, with each $1,000 bond convertible into 20 shares of common stock. c. Cumulative convertible 4%, $100 par, preferred stock, issued at par, with each preferred share convertible into two shares of common stock. d. Cumulative convertible 3%, $100 par, preferred stock, issued at par, with each preferred share convertible into one share of common stock. e. Cumulative 7%, $50 par preferred stock.

Company CDE generated cash flows of $2.00 per share last year. CDE’s cost of capital 12%. Growth is expected to be 12% in year one, 11% in year two, 10% in year three, then decline to 6% over the next four years, and then continue at 6%. estimate the value per share. PLEASE SHOW YOUR WORK

last year you purchased a 10 year semi-annual coupon bond with coupon rate of 12% and face value of $1000. the bonds yield to maturity was 11% then. a year past and the market interest rate increases by 1 percentage point. your one-year holding period return is____% (rounded with two decimal places)

Question 4. Your friend Joanna is running for class president and has the support of 55% of the total student body. You poll a group of N students (N=50 or N=150) and compute the total number of students who state that they will vote for Joanna. For samples of size N=50 or N=150, use R to simulate 10,000 independent samples and record the total votes for Joanna in each sample. For each sample, compute a Z-score test statistic for the specified null hypothesis and α given below.

Compute the following (a-f) for both N=50 and N=150 separately.

a) Plot a histogram of the resulting Z-score distribution under H0: p=0.55. Based on a rejection region of |Z|>1.96, does the simulated Type I error probability match the expected Type I error probability (α).

b) Plot a histogram of the resulting Z-score distribution under H0: p=0.6. Based on a rejection region of |Z|>1.96, does the simulated Type II error probability match the expected Type II error probability. You will need to compute the expected Type II error probability (β).

c) Plot a histogram of the resulting Z-score distribution under H0: p=0.65. Based on a rejection region of |Z|>1.96, does the simulated Type II error probability match the expected Type II error probability. You will need to compute the expected Type II error probability (β).

d) Plot a histogram of the resulting Z-score distribution under H0: p=0.55. Based on a rejection region of |Z|>2.575, does the simulated Type I error probability match the expected Type I error probability (α).

e) Plot a histogram of the resulting Z-score distribution under H0: p=0.6. Based on a rejection region of |Z|>2.575, does the simulated Type II error probability match the expected Type II error probability. You will need to compute the expected Type II error probability (β).

f) Plot a histogram of the resulting Z-score distribution under H0: p=0.65. Based on a rejection region of |Z|>2.575, does the simulated Type II error probability match the expected Type II error probability. You will need to compute the expected Type II error probability (β).

g) What factors (N, α, |?0 − ??|) (if any) influence the Type I error probability? Explain.

h) What factors (N, α, |?0 − ??|) (if any) influence the Type II error probability? Explain.

Question 4. Your friend Joanna is running for class president and has the support of 55% of the total student body. You poll a group of N students (N=50 or N=150) and compute the total number of students who state that they will vote for Joanna. For samples of size N=50 or N=150, use R to simulate 10,000 independent samples and record the total votes for Joanna in each sample. For each sample, compute a Z-score test statistic for the specified null hypothesis and α given below.

Compute the following (a-f) for both N=50 and N=150 separately.

a) Plot a histogram of the resulting Z-score distribution under H0: p=0.55. Based on a rejection region of |Z|>1.96, does the simulated Type I error probability match the expected Type I error probability (α).

b) Plot a histogram of the resulting Z-score distribution under H0: p=0.6. Based on a rejection region of |Z|>1.96, does the simulated Type II error probability match the expected Type II error probability. You will need to compute the expected Type II error probability (β).

c) Plot a histogram of the resulting Z-score distribution under H0: p=0.65. Based on a rejection region of |Z|>1.96, does the simulated Type II error probability match the expected Type II error probability. You will need to compute the expected Type II error probability (β).

d) Plot a histogram of the resulting Z-score distribution under H0: p=0.55. Based on a rejection region of |Z|>2.575, does the simulated Type I error probability match the expected Type I error probability (α).

e) Plot a histogram of the resulting Z-score distribution under H0: p=0.6. Based on a rejection region of |Z|>2.575, does the simulated Type II error probability match the expected Type II error probability. You will need to compute the expected Type II error probability (β).

f) Plot a histogram of the resulting Z-score distribution under H0: p=0.65. Based on a rejection region of |Z|>2.575, does the simulated Type II error probability match the expected Type II error probability. You will need to compute the expected Type II error probability (β).

g) What factors (N, α, |?0−??|) (if any) influence the Type I error probability? Explain.

h) What factors (N, α, |?0−??|) (if any) influence the Type II error probability? Explain.