Suppose that I am the owner of Turner Elevator & Supply Store in Willow, Oklahoma. I have grain storage capacity of 500,000 bu. that I purchased ve years ago at a cost of $ 15 million. I also purchased other equipment at a cost of $ 2.5 million. I set up a straight line depreciation schedule for the bins assuming 15 years of remaining life at the time of purchase. I assigned a seven year life to the other assets at the time of purchase (I assume that both bins and other equipment have zero salvage value). Currently I have $ 175,000 of cash on hand and accounts receivable of $ 125,000. In addition, I have 100,000 of wheat in the bins that I paid $ 4.05/bu. for at harvest time, and $ 95,000 of inventories on hand (fertilizer, seed, etc.) for sale. However, based on my operating expenses, I compute another $ 0.65 /bu. cost from operations must be added to my inventory of wheat on hand. My mortgage payable (for the purchase of the bins stands) at $ 7.5 million - the original mortgage was for ten years and I have made the standar payments based on a xed payment schedule. I also have an operating loan at the local bank for $ 1 million. Derive my balance sheet at the beginning of year 5. What is my equity?

You have a theory that certain days of the week are most likely to be the highest sales You are to write a program that will test that theory.

Write a program that will have a list of 52 lists, each of those 52 lists must be of length 7 (that is they will each accommodate 7 items). Think of 52 weeks with 7 days in each week. Save a random value from 70 - 100 (inclusive of 70, exclusive of 100) in each of the days of each of the weeks.

Your code should analyze the list above and print a list of the number of times each day of the week had the highest sales. If more than one day had the highest sales of the week I do not care which of those days is recorded as the highest sales day.

Here is an example of the expected output: note that in the example below I generated and analyzed 5 weeks, you are to generate and analyze 52 weeks:

My code generated and output the following list of lists:

[[93, 98, 95, 75, 81, 88, 97], [91, 76, 81, 84, 72, 97, 83], [91, 81, 75, 72, 92, 95, 79], [98, 93, 88, 74, 93, 97, 82], [77, 86, 90, 87, 75, 84, 95]]

And output the following list after analysis of the above list:

[1, 1, 0, 0, 0, 2, 1]

The actual output from running my code was:

RESTART: /Users/janetbrownsederberg/Stonehill/Stonehill_Fall2020/HighestSales.py

[[93, 98, 95, 75, 81, 88, 97], [91, 76, 81, 84, 72, 97, 83], [91, 81, 75, 72, 92, 95, 79], [98, 93, 88, 74, 93, 97, 82], [77, 86, 90, 87, 75, 84, 95]]

[1, 1, 0, 0, 0, 2, 1]

>>>

Please have your output in the form above.

Please done in Python format

Mr. Evon, who participates in his corporate employer’s qualified defined benefits plan, will be entitled to receive an annual pension when he retires in five years. What is the maximum contribution that the employer can make to the plan on Mr. Evon’s behalf assuming that: His average compensation for his three highest compensation years is $145,000? His average compensation for his three highest compensation years is $250,000?

What is the maximum contribution that the employer can make to the plan on Mr. Evon’s behalf assuming that his average compensation for his three highest compensation years is $145,000?

What is the maximum contribution that the employer can make to the plan on Mr. Evon’s behalf assuming that his average compensation for his three highest compensation years is $250,000?

A hospital has three emergency generators for use in case of a power failure. Each generator functions independently, and the manufacturer claims that the probability that each generator will function properly during a power failure is 0.95.

1. List all of the possible outcomes in the sample space, S, and find the probability associated with each outcome.

2. Define the random variable X = the number of generators that fail. Calculate the value of X for each outcome in the sample space and give the probability mass function for X. Use correct notation.

3. Find the mean and variance of X.

4. Suppose that a power failure occurs and all three generators fail. Do you think that there would be reason to doubt the manufacturer‘s claim? Use probability to justify your answer.

1. Assume that 13​% of people are​ left-handed. Suppose 8 people are selected at random. Answer each question about​ right-handers below.

​a) Find the mean and standard deviation of the number of​ right-handers in the group.

​b) What's the probability that​ they're not all​ right-handed?

​c) What's the probability that there are no more than 5 ​righties?

d) What's the probability that the majority is​ right-handed?

2. A certain tennis player makes a successful first serve 64​% of the time. Assume that each serve is independent of the others. If she serves 9 times, what's the probability she gets​

a) all 9 serves​ in?

b) exactly 8 serves​ in?

c) at least 7 serves​ in?

d) no more than 4 serves​ in?

It is known that 20% of the computer engineering students use the library during the e"xam week. A random sample of 25 students (from computer engineering) is selected. Assume that studies at library are made independently, and let x represent number of students who studied in the library during the e"xam week.Important note: Show your work. Provide the expressions and your approach on answering the questions. Results without supporting work will not be credited.(a) What is the probability that exactly 4 students studied in the library? ______________(b) What is the probability that no more than 5 students studied in the library?______________(c) What is the probability that at least 3 students studied in the library?______________(d) What is the probability that between 2 and 7 students, inclusively, studied in the library?

A survey found that three out of ten Americans visited a doctor in any given year. [4a] If 6 people are selected at random, find the probability that no one has visited a doctor last year. [4b] If 6 people are selected at random, find the probability that exactly 1 people has visited a doctor last year. [4c] If 6 people are selected at random, find the probability that at most 1 people have visited a doctor last year. [4d] If 6 people are selected at random, find the probability that at least 2 people have visited a doctor last year. [4e] If 6 people are selected at random, find the mean, variance, standard deviation of the number of people who have visited a doctor last year.

1. A particular event has a probability of occurrence of p=0.65. Given 12 independent trials, draw the probability distribution and calculate the expected value.
2. A particular event has a probability of occurrence of p=0.65. If each outcome is independent of the last, draw the probability distribution associated with the event not occurring a given number of consecutive times and calculate the expected value.
3. Given the following scenario, determine which distribution (binomial, geometric, hypergeometric) is the most appropriate to model it? Rank the distributions from most appropriate to least appropriate. Explain the reason(s). "1600 students attend BOSS. It is determined that 70% of all BOSS students wear glasses. If groups of 50 students were selected at random, how many of them would be wearing glasses?"

Of all cities in the United States, Amherst, New York, has the fewest number of days per year clear of clouds, 4.4. Other cities with very few clear days include Buffalo, New York, Lakewood, Washington, and Seattle, Washington. Suppose a random year is selected. (Round your answers to four decimal places.)

(a)

What is the probability that Amherst will have exactly four days clear of clouds?

(b)

What is the probability of fewer than six days clear of clouds?

(c)

What is the probability of at least nine days clear of clouds?

(d)

Suppose that between 2 and 11 (inclusive) days are clear of clouds. What is the probability of more than five days clear of clouds?

this is all the data provided for this question.