True or False (provide short explanation)

1. One of your friends lost 7 kg of fat following a strict and exhausting diet
some exercice. This fat has been converted into ATP which weighs much less than fat.

2. The adhesion molecules on the surface of cells form transient links between cells, while cell junctions like tight junctions form permanent links between two cells.

3. Each time the genome is replicated, half of the newly synthesized DNA is made up of Okazaki fragments linked together.

4. The cotransport of Na + and another solute inside the cell, using energy
created by the Na + gradient, is an example of active primary transport.

5. If I isolate the nucleus of a carrot cell and inject this nucleus into the egg of a frog in which the nucleus has been removed. Will the frog oocyte be reprogrammed to produce a carrot?

Calculate the ​(a​) net present value​ (NPV), ​(b​) profitability index​ (PI), and ​(c​) internal rate of return​ (IRR) for Projects 1 and 2​ (cash flows shown​ below), assuming a required return of 13%.

a.  What is the NPV of Project​ 1? $___ ​​(Round to the nearest​ cent.) What is the NPV of Project​ 2? ​ $___ ​(Round to the nearest​ cent.)

b. What is the PI of Project​ 1? ____ ​(Round to two decimal​ places.) What is the PI of Project​ 2? ​___ (Round to two decimal​ places.)

c. What is the IRR of Project​ 1? __​% (Round to two decimal​ places.) What is the IRR of Project​ 2? __​% (Round to two decimal​ places.)

he EPA is considering two water quality projects that offer the net benefit streams displayed in the table below

Benefits ($) in Year:

Refer to the information above. Which project offers the greatest present value at a discount rate of 13%?

Select one:

a. Project C

b. Project B

c. Project A

d. The projects are equal in the present value of their net benefits

You are trying to develop a strategy for investing in two different stocks. The anticipated annual return for a $1,000 investment in each stock under four different economic conditions has the following probability distribution.

1. Expected Return for Stock X and Stock Y.
2. Standard Deviation for Stock X and Stock Y
3. Would you invest in Stock X or Stock Y? Explain.

Consider the three stocks in the following table. P_t represents price at time t, and Q_t represents shares outstanding at time t. Stock C splits two-for-one in the last period.

Calculate the first-period rates of return on the following indexes of the three stocks: (Do not round intermediate calculations. Round your answers to 2 decimal places.)

a. A market value–weighted index

Rate of return             %

b. An equally weighted index

Rate of return             %

Iconic memory is a type of memory that holds visual information for about half a second (0.5 seconds). To demonstrate this type of memory, participants were shown three rows of four letters for 50 milliseconds. They were then asked to recall as many letters as possible, with a 0-, 0.5-, or 1.0-second delay before responding. Researchers hypothesized that longer delays would result in poorer recall. The number of letters correctly recalled is given in the table.

(a) Complete the F-table. (Round your values for MS and F to two decimal places.)

(b) Compute Tukey's HSD post hoc test and interpret the results. (Assume alpha equal to 0.05. Round your answer to two decimal places.)

The critical value is  for each pairwise comparison.

Which of the comparisons had significant differences? (Select all that apply.)

Recall following no delay was significantly different from recall following a one second delay.The null hypothesis of no difference should be retained because none of the pairwise comparisons demonstrate a significant difference.Recall following a half second delay was significantly different from recall following a one second delay.Recall following no delay was significantly different from recall following a half second delay.

FIRST PART: The Stata file ceosalary.dta contains data on the characteristics of 177 chief executive o?cers, which we will use to examine the e?ects of firm performance on CEO salary. The variables in the dataset include 1. salary (1990 compensation, $1000s), 2. age (in years), 3. college (=1 if attended college), 4. grad (=1 if attended graduate school), 5. comten (years with company), 6. ceoten (years as ceo with company), 7. sales (1990 firm sales, millions), 8. profits (1990 profits, millions), 9. mktval (market value, end 1990, millions). a. Load the dataset & inspect characteristics of it: What is the total count of observations in the dataset, how many variables there are in the dataset? b. Generate a summary table with sample means, standard deviations, and Minimum/maximum values for all the variables. c. How many dummy variables are in the data set? d. Are years the person stays with the company as ceo correlated with the salary? e. Is there any relationship between salary and years stayed with the company as ceo? Provide a two-way graph of the variables showing the relationship between the two. f. Run a single regression of salary over years the worker stays with the company as ceo. Is the result supporting your answer to the previous part? g. Do differences in years workers stayed with the company as CEO explain a lot of variation of their salaries? h. Imagine “age” is the variable missing in your single linear regression model above. Is this variable causing omitted variable bias? If yes, is it upward or downward bias? i. Include age in the regression and run a MLRM with age and years as ceo. Did the coefficient of the previous regression change substantially? j. Generate a dummy variable which takes value of 0 if worker is less than 50 years old and 1 otherwise. k. Run a regression of salary on the dummy you created and interpret the coefficient. l. Provide the scatter plot and the regression line for part k. m. Estimate a regression of salary on firm sales and market value. Interpret the e?ects of sales and market value on salaries of CEOs n. Add profits and ceoten to the model. Which firm characteristics are significant determinant of salaries? Interpret the e?ect of an additional year of CEO tenure on salaries. o. Did the coefficient or firm sales change dramatically from part G to part H by adding more regressors? Was the coefficient suffering from omitted variable bias? p. EXTRA CREDIT: Check for heteroscedasticity for the regression of salary and ceoten, what would be the issue if there exist heteroscedasticity? what do you suggest statistically to correct for it? salary age college grad comten ceoten sales profits mktval

AZO Co. currently uses a periodic inventory system. Mr. Sohaim, the owner, is considering the purchase of a computer system that would make it feasible to switch to a perpetual inventory system. Mr. Hasan is unhappy with the periodic inventory system because it does not provide timely information on inventory levels. Mr. Hasan has noticed on several occasions that the store runs out of good-selling items, while too many poor-selling items are on hand. Mr. Hasan is also concerned about lost sales while a physical inventory is being taken. AZO Co. currently takes a physical inventory twice a year. To minimize distractions, the store is closed on the day inventory is taken. Mr. Hasan believes that closing the store is the only way to get an accurate inventory count.

1. Will switching to a perpetual inventory system strengthen AZO Co.’s control over inventory items?  

2. Will switching to a perpetual inventory system eliminate the need for a physical inventory count?  

3. How IAS-2 is applicable here?

5. Two fair, distinct dice (one red and one green) are rolled. Let A be the event the red die comes up even and B be the event the sum on the two dice is 8. Are A,B independent events?

According to the American Lung Association 7% of the population has lung disease. Of the people having lung disease 90% are smokers. Of the people not having lung disease 20% are smokers. What are the chances that a smoker has lung disease?

The military often uses high-density metals in munitions because these metals are better able to penetrate armor. Magness (1994) conducted an obserational study of seven different high-density metals in which he measured the Rockwell hardness (the regressor) and the Young's Modulus (the response) for a single specimen for each metal. The Young's Modulus is the ratio of simple tension stress to the resulting strain parallel to the tension. Normally, we expect Young's modulus to increase as the Rockwell hardness increases.

Construct a scatterplot, calculate and interpret the correlation coefficient, and calculate the linear regression equation. Show all work for calculations!

Data is below

Rockwell Hardness Young's Modulus

41 310

41 340

44 380

40 317

43 413

15 62

40 119