How many molecules are contained in a 7.10-g sample of dimethylmercury?

What is the percentage of mercury (by mass) in the sample?

3. The percentage discount offered by suppliers if the customer or buyer pays early is known as the _____________discount.

4. The average length of time between the point in which a firm originally receives its inventory and the point at which it receives the cash from selling its product(s) is known as the __________cycle. Meaning of Cash Cycle is the average length of time between when a firm originally purchases its inventory and when it receives the cash back from selling its product.

17. The number of days a buyer has to take advantage of the cash discount provided by its suppliers is known as the ____________period.

18. A measure of the cash cycle calculated as the sum of a firm's inventory days and accounts receivable days, minus its accounts payable days is known as the ____________ cycle.

35. The total length of time during which suppliers extend credit to their customers (or buyers) is know as the ___________period.

The percentage composition by mass of a certain fuel is given as C 90%, H 3.5%, O 3% and remainder is incombustible. The fuel is burnt in air and the resulting dry analysis gave the following result by volume: CO2 12.7%, O2 7%, N2 remainder.

a. Find the mass of air supplied per kilogram of fuel

b. If the fuel is completely burned with air (there is no unburned fuel in the exhaust gas), what is the expression that describes this situation?

c. Determine the percentage excess air.

The home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages.

(a) Use a calculator with mean and standard deviation keys to find x and s. (Round your answers to two decimal places.)

(b) Compute a 90% confidence interval for the population mean μ of home run percentages for all professional baseball players. Hint: If you use the Student's t distribution table, be sure to use the closest d.f. that is smaller. (Round your answers to two decimal places.)

(c) Compute a 99% confidence interval for the population mean μ of home run percentages for all professional baseball players. (Round your answers to two decimal places.)

(d) The home run percentages for three professional players are below.

Examine your confidence intervals and describe how the home run percentages for these players compare to the population average.

We can say Player A falls close to the average, Player B is above average, and Player C is below average.

We can say Player A falls close to the average, Player B is below average, and Player C is above average.    

We can say Player A and Player B fall close to the average, while Player C is above average.

We can say Player A and Player B fall close to the average, while Player C is below average.

(e) In previous problems, we assumed the x distribution was normal or approximately normal. Do we need to make such an assumption in this problem? Why or why not? Hint: Use the central limit theorem.

Yes. According to the central limit theorem, when n ≥ 30, the x distribution is approximately normal.

Yes. According to the central limit theorem, when n ≤ 30, the x distribution is approximately normal.    

No. According to the central limit theorem, when n ≥ 30, the x distribution is approximately normal.

No. According to the central limit theorem, when n ≤ 30, the x distribution is approximately normal.

The home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages.

1.6 2.4 1.2 6.6 2.3 0.0 1.8 2.5 6.5 1.8 2.7 2.0 1.9 1.3 2.7 1.7 1.3 2.1 2.8 1.4 3.8 2.1 3.4 1.3 1.5 2.9 2.6 0.0 4.1 2.9 1.9 2.4 0.0 1.8 3.1 3.8 3.2 1.6 4.2 0.0 1.2 1.8 2.4

(a) Use a calculator with mean and standard deviation keys to find x bar and s (in percentages). (For each answer, enter a number. Round your answers to two decimal places.) x bar = x bar = % s = %

(b) Compute a 90% confidence interval (in percentages) for the population mean μ of home run percentages for all professional baseball players. Hint: If you use the Student's t distribution table, be sure to use the closest d.f. that is smaller. (For each answer, enter a number. Round your answers to two decimal places.) lower limit % upper limit %

(c) Compute a 99% confidence interval (in percentages) for the population mean μ of home run percentages for all professional baseball players. (For each answer, enter a number. Round your answers to two decimal places.) lower limit % upper limit %

(d) The home run percentages for three professional players are below. Player A, 2.5 Player B, 2.2 Player C, 3.8 Examine your confidence intervals and describe how the home run percentages for these players compare to the population average.

We can say Player A falls close to the average, Player B is above average, and Player C is below average.

We can say Player A falls close to the average, Player B is below average, and Player C is above average.

We can say Player A and Player B fall close to the average, while Player C is above average.

We can say Player A and Player B fall close to the average, while Player C is below average.

(e) In previous problems, we assumed the x distribution was normal or approximately normal. Do we need to make such an assumption in this problem? Why or why not? Hint: Use the central limit theorem.

Yes. According to the central limit theorem, when n ≥ 30, the x bar distribution is approximately normal.

Yes. According to the central limit theorem, when n ≤ 30, the x bar distribution is approximately normal.

No. According to the central limit theorem, when n ≥ 30, the x bar distribution is approximately normal.

No. According to the central limit theorem, when n ≤ 30, the x bar distribution is approximately normal.

3. Calculate the load carrying capacity and percentage of reinforcement for a short rectangular column of
cross section dimension 280 mm x 500 mm is reinforced with 4 bars of 25 mm diameter, 2 bars of 20
mm diameter and 2 bars of 12 mm diameter. Use M30 grade concrete and Fe 500 grade steel. Also
design a 4 legged ties necessary for this section.

The Centers for Disease Control reported the percentage of people 18 years of age and older who smoke (CDC website, December 14, 2014). Suppose that a study designed to collect new data on smokers and nonsmokers uses a preliminary estimate of the proportion who smoke of .28.

a. How large a sample should be taken to estimate the proportion of smokers in the population with a margin of error of .02 (to the nearest whole number)? Use 95% confidence.

b. Assume that the study uses your sample size recommendation in part (a) and finds 520 smokers. What is the point estimate of the proportion of smokers in the population (to 4 decimals)?

c. What is the 95% confidence interval for the proportion of smokers in the population (to 4 decimals)?

(  ,   )

can we say that prices of bonds are equally sensitive to the same percentage increases or decreases of the market interest rate (ytm)? Explain. (i.e. Market interest rates increases, say, from 4% to 6% or decreases from 6% to 4%)

Please explain the impact of coupon amount (say $30 coupon vs. $$85 coupon) on the interest rate sensitivity of a bond. In other words, if the market interest rate changes, which bond's price will change more, the one with the low or high coupon? (assuming other things are identical.)

What is the relationship between the time to maturity and interest rate sensitivity of bonds?

If a corporation had retained earnings of $10,000,000, what percentage of that total should they use to pay dividends to their shareholders? What factors should the management of the company consider?

The following is the winning percentage for NFC West and NFC East. The benchmark standard deviation for NFL is 0.125.

Using the data above, fill out the following table. Show your work.

Make sure to clearly mark each of your answers or you can try to make a table using the Blackboard Text Editor:

(Example)

Actual standard deviation σ = /NFC West:

Actual standard deviation σ = /NFC East: