The price of a three-month future contract on the S&P 500 index is traded at 2355. Use a 9 step binomial tree model to value an American put on the future contract assuming K=2400, r=1%, s=15%. The price of the American put option is ___________.

1.

The _____ of a poll tells the percentage of such polls in which the confidence interval

includes the true result.

Select one:

a. correlation

b. margin of error

c. confidence level

d. interpolation

e. None of these

2.

The heights of American women between the ages of 18 and 24 are approximately normally distributed. The mean is 64.1 inches and the standard deviation is 2.5 inches. What percentage of such women is below 69 inches?

Select one:

a. 98%

b. 2%

c. 84%

d. 5%

e. None of these

3.

You invest $3000 in an account that pays simple interest of 3% each year. Find the interest earned after seven years.

Select one:

a. $400

b. $590

c. $630

d. $350

e. $240

4.

A polling firm finds that 58% of the population of a state favors legalizing the use of marijuana. The margin of error of the poll is 4%.

If the confidence level is 95% then about how many people were polled? Round up.

Select one:

a. None of these

b. 294

c. 518

d. 394

e. 625

5.

Michael's five test scores in his physics class were 75, 67, 88, 91, and 84. What was his
median test score?

Select one:

a. 79

b. 81

c. 84

d. 88

e. None of these

I am really sorry but these are related to each other, please and please show me all the steps with clear hand writing. thanks in advance

_____________

(a) Calculate the electrical conductivity of copper if it is given that the metal has 8.5 x 10²² conduction electrons per cm³ and the mobility of a conduction electron is 35 cm².V^-1.s^-1.

answer , units

(b) In an electronics project you need to construct your own inductor. The instructions for making this inductor is to “wind it from a 1.2 meter length of # 20 AWG (American wire gauge) copper wire.

(i) How thick is this wire in mm ?

(ii) What will be the resistance of your inductor ?

answer , units

____________

Q3) (i) Calculate the electrical conductivity of a piece of pure Si if it is given the number of intrinsic carriers at 300 K is 1 x 10¹⁰ cm^-3 and that the electron and hole mobilities are  μ_e = 1350 cm².V^-1.s^-1  and μ_h = 450 cm².V^-1.s^-1respectively.

answer, units     

(ii) Compare the conductivities between Si and Cu at 300 K as calculated from Q2 and Q3(i).         

____________

Q4) Following on from Q3, the temperature now increases to 350 K. Describe semi-quantitatively how and why the carrier concentration and the conductivity will change due to this temperature change for both these two materials (Si and Cu).

In an article in the Journal of Marketing, Bayus studied the differences between "early replacement buyers” and "late replacement buyers” in making consumer durable good replacement purchases. Early replacement buyers are consumers who replace a product during the early part of its lifetime, while late replacement buyers make replacement purchases late in the product’s lifetime. In particular, Bayus studied automobile replacement purchases. Consumers who traded in cars with ages of zero to three years and mileages of no more than 35,000 miles were classified as early replacement buyers. Consumers who traded in cars with ages of seven or more years and mileages of more than 73,000 miles were classified as late replacement buyers. Bayus compared the two groups of buyers with respect to demographic variables such as income, education, age, and so forth. He also compared the two groups with respect to the amount of search activity in the replacement purchase process. Variables compared included the number of dealers visited, the time spent gathering information, and the time spent visiting dealers.

(a) Suppose that a random sample of 807 early replacement buyers yields a mean number of dealers visited of x⎯⎯x¯ = 3.3, and assume that σ equals .79. Calculate a 99 percent confidence interval for the population mean number of dealers visited by early replacement buyers. (Round your answers to 3 decimal places.)

The 99 percent confidence interval is            [ , ].

(b) Suppose that a random sample of 493 late replacement buyers yields a mean number of dealers visited of x⎯⎯x¯ = 4.2, and assume that σ equals .66. Calculate a 99 percent confidence interval for the population mean number of dealers visited by late replacement buyers. (Round your answers to 3 decimal places.)

The 99 percent confidence interval is            [ , ].

(c) Use the confidence intervals you computed in parts a and b to compare the mean number of dealers visited by early replacement buyers with the mean number of dealers visited by late replacement buyers. How do the means compare?

Mean number of dealers visited by late replacement buyers appears to be ( lower or higher?)

In an article in the Journal of Marketing, Bayus studied the differences between "early replacement buyers” and "late replacement buyers” in making consumer durable good replacement purchases. Early replacement buyers are consumers who replace a product during the early part of its lifetime, while late replacement buyers make replacement purchases late in the product’s lifetime. In particular, Bayus studied automobile replacement purchases. Consumers who traded in cars with ages of zero to three years and mileages of no more than 35,000 miles were classified as early replacement buyers. Consumers who traded in cars with ages of seven or more years and mileages of more than 73,000 miles were classified as late replacement buyers. Bayus compared the two groups of buyers with respect to demographic variables such as income, education, age, and so forth. He also compared the two groups with respect to the amount of search activity in the replacement purchase process. Variables compared included the number of dealers visited, the time spent gathering information, and the time spent visiting dealers.

(a) Suppose that a random sample of 796 early replacement buyers yields a mean number of dealers visited of x¯x¯ = 3.1, and assume that σ equals .77. Calculate a 99 percent confidence interval for the population mean number of dealers visited by early replacement buyers. (Round your answers to 3 decimal places.)

The 99 percent confidence interval is            [, ].

(b) Suppose that a random sample of 496 late replacement buyers yields a mean number of dealers visited of x¯x¯ = 4.8, and assume that σ equals .64. Calculate a 99 percent confidence interval for the population mean number of dealers visited by late replacement buyers. (Round your answers to 3 decimal places.)

The 99 percent confidence interval is            [, ].

(c) Use the confidence intervals you computed in parts a and b to compare the mean number of dealers visited by early replacement buyers with the mean number of dealers visited by late replacement buyers. How do the means compare?

In an article in the Journal of Marketing, Bayus studied the differences between "early replacement buyers” and "late replacement buyers” in making consumer durable good replacement purchases. Early replacement buyers are consumers who replace a product during the early part of its lifetime, while late replacement buyers make replacement purchases late in the product’s lifetime. In particular, Bayus studied automobile replacement purchases. Consumers who traded in cars with ages of zero to three years and mileages of no more than 35,000 miles were classified as early replacement buyers. Consumers who traded in cars with ages of seven or more years and mileages of more than 73,000 miles were classified as late replacement buyers. Bayus compared the two groups of buyers with respect to demographic variables such as income, education, age, and so forth. He also compared the two groups with respect to the amount of search activity in the replacement purchase process. Variables compared included the number of dealers visited, the time spent gathering information, and the time spent visiting dealers.

(a) Suppose that a random sample of 803 early replacement buyers yields a mean number of dealers visited of x¯x¯ = 3.9, and assume that σ equals .75. Calculate a 99 percent confidence interval for the population mean number of dealers visited by early replacement buyers. (Round your answers to 3 decimal places.)

The 99 percent confidence interval is            [, ].

(b) Suppose that a random sample of 506 late replacement buyers yields a mean number of dealers visited of x¯x¯ = 4.4, and assume that σ equals .69. Calculate a 99 percent confidence interval for the population mean number of dealers visited by late replacement buyers. (Round your answers to 3 decimal places.)

The 99 percent confidence interval is            [, ].

(c) Use the confidence intervals you computed in parts a and b to compare the mean number of dealers visited by early replacement buyers with the mean number of dealers visited by late replacement buyers. How do the means compare?

Mean number of dealers visited by late replacement buyers appears to be            (Click to select)higher/lower.

A company with an accounting date of 31 October carried out a physical check of inventory on 4 November 20X3, leading to an inventory value at cost at this date of $483,700.

Between 1 November 20X3 and 4 November 20X3 the following transactions took place:

I. Goods costing $38,400 were received from suppliers.

II. Goods that had cost $14,800 were sold for $20,000.

III. A customer returned, in good condition, some goods which had been sold to him in October for $600 and which had cost $400.

IV. The company returned goods that had cost $1,800 in October to the supplier, and received a credit note for them.

What figure should appear in the company's financial statements at 31 October 20X3 for closing inventory, based on this information?

Panda Clinic uses client-visits as its measure of activity. During October, the clinic budgeted for 4,300 client-visits, but its actual level of activity was 4,290 client-visits. The clinic has provided the following data concerning the formulas used in its budgeting and its actual results for October:

Data used in budgeting:

Actual results for October:

The spending variance for medical supplies in October would be closest to:

On October 1, 2016, Indigo Corp. issued $960,000, 5%, 10-year bonds at face value. The bonds were dated October 1, 2016, and pay interest annually on October 1. Financial statements are prepared annually on December 31.

Prepare the journal entry to record the issuance of the bonds.

Prepare the adjusting entry to record the accrual of interest on December 31, 2016.

Show the balance sheet presentation of bonds payable and bond interest payable on December 31, 2016.

Prepare the journal entry to record the payment of interest on October 1, 2017.

Prepare the adjusting entry to record the accrual of interest on December 31, 2017.

Assume that on January 1, 2018, Indigo pays the accrued bond interest and calls the bonds. The call price is 104. Record the payment of interest and redemption of the bonds.