It is estimated that an average of 30 customers will arrive at an Airport check-in counters per hour.

a) Let X be the number of customers arrive at the counter over three hours. What is the distribution of X?

b) Let X be the number of customers arrive at the counter over three hours. How many customers would you expect in three hours?

c)What is the probability of 3 customers arriving within 10 mins? State the appropriate distribution and any parameter values. Write the probability statement and show your work in order to solve the problem.

d) Let Y represent the amount of time between the 1st customer arrive and the 10th customer arrive. What is the expected value of Y?

e) If the amount of time between two customers arriving is less than a minute, the airport will open extra counters. What is the probability that the airport will open extra counters? State the appropriate distribution and any parameter values.

I need help on c, d, and e in particular. Please explain these parts in detail and show your work.

Indicate whether each of the following statements is true, false, or uncertain, and explain your answer in great detail. If a word or phrase is italicized and bolded your answer must include a concise definition of the word or phrase. You must include graphs when necessary.

How does an economy get out of a recessionary gap? (use a graph.)

Suppose that Italy wants to reduce imports of pasta. Would economists typically recommend the use of a tariff or quota, assuming that both policies would reduce imports by the same amount? Explain your answer (IN GREAT DETAIL).

Your answer will be marked according to the following categories.

• Was Exposition Clear?
• Was the Answer Correct?
• Was the Answer Detailed?
• Was the Answer Grammatically Correct?

After building a regression model and performing residual diagnostics, you notice that the errors show severe departures from normality and appear to have nonconstant variance. What steps would you take in this case to resolve the errors? If the problems are not corrected after all steps are taken, what does that imply about the modeling approach you are taking? Explain in detail.

In the liabilities section of its 2013 balance sheet, Bank of America reported "noninterest-bearing deposits" in U.S. offices of over $373 million. Bank of America is a very large banking company.

In the liabilities section of its 2013 balance sheet, Newmont Mining Corporation reported "reclamation and remediation liabilities" of more than $1.5 billion.scuss what you believe the nature of these liabilities are and how each company might pay them off. In thinking about your response, think about the industry that each company operates in.

2. You're a beta fish breeder and have noticed that you have a few fish that display a totally novel ruby red coloring pattern. This ruby red color has since become is very popular in your Etsy store, but you are STRUGGLING to develop a purebreeding strain. Like, every time two ruby red betas are crossed, you end up with a fair number of ruby reds, but still a significant number of betas featuring the standard-type coloration. In your most recent ruby red x ruby red mating attempt, you ended up with 57 ruby red betas and 28 standard betas. All other such matings gave similar phenotypic offspring ratios. Explain what's going on here. (<4 sentences)

Both Beta in the CAPM and the standard deviation measure the risk of any asset. Which of these measures best captures the risk of an asset when we think about the return we expect from that asset? Explain.

plz explain more detail, thx!!!

Collect the DataCheck the Real Estate section in your local newspaper. Record the sale prices for 35 randomly selected homes recently listed in the county.

NOTE

Many newspapers list them only one day per week. Also, we will assume that homes come up for sale randomly.

1. 588777
   654345
   679231
   514567
   589876
   456342
   576567
   543786
   680364
   324176
   578354
   348729
   745368
   635478
   736453
   491847
   764836
   734629
   438274
   645274
   364846
   456739
   873937
   645278
   573847
   745636
   736547
   836474
   254637
   746473
   543729
   562437
   638746
   769373
   738392

   Table 8.5

Describe the Data'

1. Compute the following:

   1. x¯ = 606124.6857

   2. sx = 149131.0695

   3. n = 35

1. In words, define the random variable ?⎯⎯⎯X¯
2. State the estimated distribution to use. Use both words and symbols.

Find the Confidence Interval

1. Calculate the confidence interval and the error bound.
   1. Confidence Interval: _____
   2. Error Bound: _____
2. How much area is in both tails (combined)? α = _____
3. How much area is in each tail? ?2α2 = _____
4. Fill in the blanks on the graph with the area in each section. Then, fill in the number line with the upper and lower limits of the confidence interval and the sample mean.

   Figure 8.6

5. Some students think that a 90% confidence interval contains 90% of the data. Use the list of data on the first page and count how many of the data values lie within the confidence interval. What percent is this? Is this percent close to 90%? Explain why this percent should or should not be close to 90%.

Describe the Confidence Interval

1. In two to three complete sentences, explain what a confidence interval means (in general), as if you were talking to someone who has not taken statistics.
2. In one to two complete sentences, explain what this confidence interval means for this particular study.

Use the Data to Construct Confidence Intervals

1. Using the given information, construct a confidence interval for each confidence level given.

   Confidence level	EBM/Error Bound	Confidence Interval
   50%
   80%
   95%
   99%

   Table 8.6

2. What happens to the EBM as the confidence level increases? Does the width of the confidence interval increase or decrease? Explain why this happens.