On December 31, 2013, the Mallory Corporation had the following activity in its fixed assets

record. Assume all assets were purchased on January 1.

REQUIRED:

· Compute the depletion, amortization, and depreciation expense on December 31, 2013 for each asset listed above.

· Record the entries for the assets above

· Suppose that we sold machine 2 for $50,000, record the entry

· Suppose that the building life increased from 25 years to 30 years, revise the depreciation and prepare the entry.

· Suppose that the corporation spent $20,000 in 2013 to defend the patent.  Record the entry.

There are two routes to get from the student dorms to class - a long route, which is scenic, and a short route, which is not scenic. You want to study whether the route that the students choose to take is independent of the weather (in the context of the table, this will mean whether X and Y are independent), and you generate the accompanying table of probabilities.

Calculate E(X) and E(Y ).

(b) Calculate E(X | Y = 0). How is this different from E(X)?

(c) Are the route picked and the weather independent of each other? Why or why not? Use the numbers from the table to arrive at the answer.

Out of 320 people sampled, 240 had kids. Based on this, construct a 95% confidence interval for the true population proportion of people with kids.

• 0.85 < pp < 0.65
• 0.8 < pp < 0.7
• 0.7 < pp < 0.8
• 0.93 < pp < 0.57
• 0.9 < pp < 0.6

Trucks in a delivery fleet travel a mean of 130 miles per day with a standard deviation of 17 miles per day. The mileage per day is distributed normally. Find the probability that a truck drives less than 164 miles in a day. Round your answer to four decimal places.

Trucks in a delivery fleet travel a mean of 120 miles per day with a standard deviation of 18 miles per day. The mileage per day is distributed normally. Find the probability that a truck drives less than 132 miles in a day. Round your answer to four decimal places.

The operation manager at a tire manufacturing company believes that the mean mileage of a tire is 47,225 miles, with a standard deviation of 3178 miles. What is the probability that the sample mean would be greater than 47,050 miles in a sample of 208 tires if the manager is correct? Round your answer to four decimal places.

according to the black scholes merton model, if a call option has a delta of 0.8, then what is the delta of the put option written on the same underlying asset with the same strike and maturity?

1. 0.8

2.. 0.2

3. -0.8

4. -0.2

[1] Make a calibration curve using the absorbances for the samples from 0.5 – 20 ppm. Include the intercept (0,0) as a data point.

[2] Is the calibration linear, i.e., does the analysis follow Beer’s law? To discuss linearity, examine both the trend of the data relative to the least squares line and the correlation coefficient.

[3] Use a 2nd order polynomial (in Excel’s plotting function) to determine if the fit improves and include this curve.

[4] Explain why AAS often has a limited linear dynamic range compared to say, UV/VIS and fluorescence spectrophotometry

What is the likelihood ratio test of H0 versus HA at level α = .2? What is the test at level α = .5?

Please show work or formulas on how to solve for values.

Assume the CAPM holds and the market is efficient. Given the following information about the true market portfolio and stock S:

State    Probability      Return (Market)                      Return (S)

1          0.2                   0.25                                         0.4

2          0.5                   0.1                                         -0.085

3          0.3                 -0.05                                          0.12    

1. You are given enough information to determine the beta of S. (True / False)

2. Calculate the expected rate of return on the market portfolio and the expected return on stock S.

3. It turns out that stock S has a beta of about 0.7. Find the risk-free rate of return.