Select the ONE statement from the list below that is TRUE and enter the letter identifying the true statement at the beginning of your answer (I.e., “x” is true). Then, below your answer, explain in detail why each of the remaining four choices are not true (I.e., “y” is not true because..., “z” is not true because..., etc.)

A. During the process of blastocyst formation, the number and size of cells increase.

B. The blastocyst implants into the endometrial lining about 36 hours after fertilization.

C. In the early embryo, cells of identical genetic makeup become structurally and functionally different from one another through the process of gastrulation.

D. Umbilical arteries carry oxygen rich blood from the placenta to the fetus.

E. The movement of the fetus is not detected during the first trimester of pregnancy.

1)What color of laser light shines through a diffraction grating with a line density of 500 lines/mm if the third maxima from the central maxima (m=3) is at an angle of 45°? Show all work in your answer.

Hint: Calculate the wavelength then use Table 1 to identify the color.​

2) How would the interference pattern produced by a diffraction grating change if the laser light changed from red to blue?

A retailer wants to see if a red "Sale" sign brings in more revenue than the same "Sale" sign in blue. The data below shows the revenue in thousands of dollars that was achieved for various days when the retailer decided to put the red "Sale" sign up and days when the retailer decided to put the blue "Sale" sign up. Red: 1, 3.6, 3.6, 3.2, 3.4, 3.8, 3.1, 1.5, 3.6 Blue: 0.5, 1.9, 1.6, 2.9, 2.1, 2.9, 1.2, 2.2, 2.9, 3.8 Assume that both populations follow a normal distribution. What can be concluded at the α = 0.05 level of significance level of significance? For this study, we should use The null and alternative hypotheses would be: H 0 : (please enter a decimal) H 1 : (Please enter a decimal) The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is α Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The results are statistically insignificant at α = 0.05, so there is insufficient evidence to conclude that the population mean revenue on days with a red "Sale" sign is more than the population mean revenue on days with a blue "Sale" sign. The results are statistically insignificant at α = 0.05, so there is statistically significant evidence to conclude that the population mean revenue on days with a red "Sale" sign is equal to the population mean revenue on days with a blue "Sale" sign. The results are statistically significant at α = 0.05, so there is sufficient evidence to conclude that the mean revenue for the nine days with a red "Sale" sign is more than the mean revenue for the ten days with a blue "Sale" sign. The results are statistically significant at α = 0.05, so there is sufficient evidence to conclude that the population mean revenue on days with a red "Sale" sign is more than the population mean revenue on days with a blue "Sale" sign. Interpret the p-value in the context of the study. If the sample mean revenue for the 9 days with a red "Sale" sign is the same as the sample mean revenue for the 10 days with a blue "Sale" sign and if another 9 days with a red "Sale" sign and 10 days with a blue "Sale" sign are observed then there would be a 5.29% chance of concluding that the mean revenue for the 9 days with a red "Sale" sign is at least 0.8 thousand dollars greater than the mean revenue for the 10 days with a blue "Sale" sign There is a 5.29% chance of a Type I error. There is a 5.29% chance that the mean revenue for the 9 days with a red "Sale" sign is at least 0.8 thousand dollars greater than the mean revenue for the 10 days with a blue "Sale" sign. If the population mean revenue on days with a red "Sale" sign is the same as the population mean revenue on days with a blue "Sale" sign and if another 9 days with a red "Sale" sign and 10 days with a blue "Sale" sign are observed then there would be a 5.29% chance that the mean revenue for the 9 days with a red "Sale" sign would be at least 0.8 thousand dollars greater than the mean revenue for the 10 days with a blue "Sale" sign. Interpret the level of significance in the context of the study. If the population mean revenue on days with a red "Sale" sign is the same as the population mean revenue on days with a blue "Sale" sign and if another 9 days with a red "Sale" sign and 10 days with a blue "Sale" sign are observed, then there would be a 5% chance that we would end up falsely concluding that the sample mean revenue for these 9 days with a red "Sale" sign and 10 days with a blue "Sale" sign differ from each other. There is a 5% chance that green is your favorite color, so why woud you even consider red or blue? There is a 5% chance that there is a difference in the population mean revenue on days with a red "Sale" sign and on days with a blue "Sale" sign. If the population mean revenue on days with a red "Sale" sign is the same as the population mean revenue on days with a blue "Sale" sign and if another 9 days with a red "Sale" sign and 10 days with a blue "Sale" sign are observed then there would be a 5% chance that we would end up falsely concluding that the population mean revenue for the days with a red "Sale" sign is more than the population mean revenue on days with a blue "Sale" sign

Red Balloons Ltd, a Canadian supplier of military radar equipment, has just won a bid to lease the Spanish Air Force some high-end sensors for the next ten years.  The first of 20 semi-annual payments of €5.3 million will be made on January 1, 2013.

1. Assuming Red Balloons will need to convert Euros into dollars before they can pay their expenses, does this contract provide them with a long or short exposure to the Canadian Dollar?  Explain.

To manage their risk, Red Balloons contacted the swap desk at their bank who offered to buy their foreign currency every six months for a rate of $1.2585 CAD per Euro for the length of the contract.

2. If Red Balloons accepts the offer, will the bank have a long or short exposure to Euro as a result of this new contract?  Explain with a diagram showing both transactions between the three parties
3. When banks take on these kinds of currency risks and enable their clients to hedge, they neutralize their own exposures by swapping the foreign currency to banks domiciled in the originating country.  If the Canadian bank needs to make a present value of $465,000 from arranging this swap to cover their costs, and the appropriate semi-annual discount rate is 2%, what is the lowest price in dollars that the Canadian bank can accept for the Euros they will resell? Keep 4 decimal places.
4. In the case of cross-currency swaps like this, the entire amounts are exchanged each time, not simply a net payment.  Explain why this is.  

1. Explain why balancing the federal budget may not always make the economy stronger.
2. What is happening in our national economy right now and how would you recommend the government respond? Make sure you make an argument for your response that shows what you have learned in the class.
3. What do you think was the most valuable topic we covered in this class and why?
4. What do you wish we had time to study in more detail in this class and why?

Explain in your own words:

What is a cost flow assumption?

Why would we use different cost flow assumptions?

To what extent does your company use technology to conduct its marketing process? Please explain it in 500 words.

1. Curious AP Statistics students wanted to know if there was a relationship between dress code violations and disciplinary actions: did students who violated the dress code receive more suspensions, detention, and work detail. In a blind survey, so the identities of the subjects were unknown to the AP students, the AP Statistics students randomly selected 185 students and were given the results of their survey from school administration regarding dress code violations and disciplinary actions. The results are below:
   

1. To the table below, add marginal values and next to the observed counts enter the expected counts. (4 points)
   

2. Write the null and alternative hypotheses for a chi-square test of independence on these data (2 points).

3. State and verify the conditions for carrying out the chi-squared test for independence. (2 points)
   
   
   

4. Determine the test statistic, the degrees of freedom, and the P-value. (6 points)
   
   
   
   
5. State your conclusion (6 points):