Describe the path a red blood cell takes traveling through the body. Begin your RBC in the right atrium and show its path until it returns to the right atrium. There should be at least 7 steps, but could be more depending on how detailed you get.  

A “friend” borrows your favorite compass and paints the entire needle red. You discover this when you are lost in a cave and have with you two flashlights, a few meters of wire, and (of course) your physics textbook. How might you discover which end of your compass needle is the north-seeking end?

Consider a high-speed subsonic wind tunnel. The conditions in the large-diameter section upstream of the test section are V = 228 mph and T = 540°R. At the test section, the temperature is 473°R and the pressure is 2 atm. (a) If a wind tunnel model, placed in the test section, has a wing chord of 12 in., what is the test Reynolds number based on that chord? (b) What is the overall smooth flat-plate skin friction coefficient of the model wing if the boundary later is turbulent? (c) Determine the boundary layer thickness at the trailing edge of the model wing. (d) Calculate the skin friction drag in pounds for a model with a span of 3 ft.

Bold Bodybuilders, Inc. is a large sporting goods store. It has become the exclusive distributor of the new bodybuilding equipment called Geni. After carrying the equipment for a year, Joe Sabatini, a manager of the supply chain, decided to analyze the company's inventory policy for Geni. On the basis of the past year's record, Joe has identified the following weekly demand data:

Weekly Demand Occurrence, Week

95 8

96 2

97 6

98 10

99 8

100 6

101 6

102 2

103 4

Total 52

The annual demand for Geni is considered to be 5,128 units, annual holding cost per equipment is $244, and ordering cost is $4,250 per order. The equipment price is $929 per unit. The new order is made when the inventory level in the store drops to a predetermined number of units on hand. Once the company orders Geni from the supplier, it will come to the store in about 3 weeks.

Questions (Please fill in your answer using the enclosed Excel answer template)

1. Explain what inventory planning and ordering system you are going to use in this case and why.
2. Identify the optimal order quantity and total annual inventory cost. Explain the insights of your results.
3. What are the best safety stock and reorder point that guarantees with a probability of 99% that the store will not run out of stock of Geni equipment? Explain the insights of your results.

Find an article about the misuse of statistics and share what you have learned from the article. Then, find an example of when statistics were misused/skewed and state the reason why you think the statistics were reported that way.

The​ cross-section of a nuclear power​ plant's cooling tower is in the shape of a hyperbola. Suppose the tower has a base diameter of

156 meters and the diameter at its narrowest​ point, 48 meters above the​ ground, is 52 meters. If the diameter at the top of the tower is 104

​meters, how tall is the​ tower?

The tower is about ___ meters tall.

What is the concept of Expenditure Multiplier? Where does it start, and what is the end result (what factors would change in the process)?

Please insert a graph on your paper which shows how the multiplier actually works, and explain step by step of what is happening.

Please fully explain what happens to the multiplier when the aggregate demand is increased in Short Run; and explain what happens whens to the multiplier when the aggregate demand is increased in Long Run. Use the graphs available on your slides and explain step by step.   

we have to this from slide chapter 28 but how can ı send this file ı dont know

QUESTION 1

Suppose you manage an algorithmic trading operation where computers are trading in the stock market automatically without human intervention using algorithms. Suppose that your algorithm called “Shining Star” (SS) makes an average profit of $6000 each trading hour in the stock market. However, your gut instinct is that the algorithm’s performance has decreased recently. We have provided a random sample of 75 of the more recent hours of trading performance.

PARTS

Write down a hypothesis test for checking if the performance has decreased. Suppose your significance level is 0.01 .

a) Write down the test statistic.

b) What is the name of the model/distribution that would be appropriate to use for the probability distribution of the test statistic? Also, please state your assumptions for picking that distribution.



c) Please provide as much information as you can about the relevant parameters for the distribution (e.g., mean and standard deviation) under the status quo or null.

a) What is your p-value for this test?

b) What is the critical threshold for your test statistic?

b) Has the performance of your SS algorithm decreased? Why or why not?

[
a) Now write down a hypothesis test for checking if the performance has increased. Suppose your significance level is 0.01 .

b) What is your p-value for this test?

c) Has the performance of your SS algorithm increased? Why or why not?

QUESTION 2

Internet retailers have so much data!   Epods.com finds that there is a 10% chance that a visitor buys a product. Using sales data over the past two years, you’ve helped them realize that if a visitor spends a long amount of time on the site (i.e., more than 5 minutes), it effects the probability of the visitor buying a product. In particular, among all the buys made by visitors, 80% of time the visitor spent a large amount of time on the site. Among all the visits that resulted in no buy or purchase, 25% of the time the visitor spent a large amount of time on the site.
For all the parts below, if there is a formula involved, please show your work or the relevant formula using probabilistic notation, e.g., P( something1 | something2 ) = … .

Hint:
Define the events

B = visitor buys a product
L = visitor spends a long amount of time on the site (i.e., more than 5 minutes)

What is the prior probability of a visitor buying a product?

What is the conditional probability of a visitor spending a long amount of time on the site, given that the visitor makes a purchase?

What is the conditional probability that a visitor buys a product given that the visitor spends a long amount of time on the site?

What is the conditional probability that a visitor does not make a purchase given that the visitor has spent a long time on the site?

What is the conditional probability that a visitor makes a purchase given that the visitor does not spend a long time on the site?

QUESTION 3 and QUESTION 4: Context

Suppose you are part of the analytics team for the online retailer Macha Bucks which sells two types of tea to its online visitors: Rouge Roma (RR) and Emerald Earl (EE). Everyday approximately 10,000 people visit the site over a 24 hour period. For simplicity suppose we consider the “buy one or don’t buy” (BODB) market segment of customers which when they visit the site will conduct one of the following actions: (a) buy one order of RR, (b) buy one order of EE, or (c) don’t buy (DB) anything. You have been tasked with determining customer behavior on the website for the BODB segment using a random sample of 35 visits.

In the dataset for the random sample, each row corresponds to a random visitor. For each visitor we provide both the visitor’s action as well as the profit earned on the transaction. In the action column:

if the visitor buys one order of RR, we see a RR,
if the visitor buys one order of EE, we see an EE,
if the visitor doesn’t buy anything, we see a DB.

Note that even if two customers buy the same product, the profit can differ due to the shipping costs, promotions, or coupons that are applied.

QUESTION 3

PARTS

Using the sample data, obtain a point estimate for the proportion of customers in this BODB market segment that
a) purchase EE:

b) purchase RR:
c) don’t buy:       

a) What is the name of the model/distribution that would be appropriate to use for the probability distribution of the sample proportion of the BODB market segment that purchases EE?


b) Please provide as much information as you can about the relevant parameters for the distribution (e.g., mean and standard deviation).

Please provide a 95% confidence interval for population proportion of the BODB market segment that
a) purchase EE:

b) purchase RR:
c) don’t buy:       

a) What does the 95% confidence interval mean intuitively? Please provide an interpretation.

b) What could you do to obtain a narrower 95% confidence interval?


c) What would you need to do to have a margin of error of 0.05? Please do the calculation.

a) Please provide a 99% confidence interval for the population proportion of the BODB market segment that purchases EE.

b) When would you prefer a 99% confidence interval rather than a 95% confidence interval?

What is the 95% confidence interval for the average profit from a

a) EE customer (i.e., a customer in the BODB market segment that buys EE):

b) RR customer (i.e., a customer in the BODB market segment that buys RR):

c) Clearly state any assumptions you make about the sampling distribution.

QUESTION 4

PARTS

a) What could be an appropriate probability distribution to use for modeling the number of visitors that the website has in an hour?

b) What parameters would you use for the probability distribution?


c) Using that distribution, determine the probability that more than 600 people visit the site in an hour.

a) What could be an appropriate probability distribution to use for modeling the number of seconds between customer visits?

b) What parameters would you use for the probability distribution?


c) Using that distribution, determine the probability that the time between customer visits to the website is less than 10 seconds.

a) What could be an appropriate probability distribution to use for modeling the number of website visitors from 100 visitors that do not buy anything?

b) What parameters would you use for the probability distribution?


c) Using that distribution, determine the probability that from among 100 customers, it turns out that 30 or more customers do not buy anything.

d) What is the average number of visitors (from among 100 customers) that do not buy anything?

e) What is the standard deviation of the number of visitors (from among 100 customers) that do not buy anything?

What is the average profit from among 100 random customers that visit the site?
Please explain your answer or show your calculations.

2. What are the signs (red flags) that makes an employer suspect an employee is stealing or causing computer crime?