a. What are the redeeming qualities and shortcomings of the internal rate of return (IRR) method in capital budgeting analysis? explain

b.Explain conceptually in detail what the weighted average cost of capital (WACC) is and the role it plays in capital budgeting.

c. Explain why the opportunity cost and net working capital (NWC) are included, while the financing costs and sunk costs are NOT in the cash flow analysis.

*(Explained in greatest depth/detail if possible)*

**(Preferably pertaining to Economist Karl Polanyi's Fictitious Commodities, Embeddedness, and Double Movement theorems)**

Has the Economic and Political sectors in the state of Utah been assimilated by the sentiments of The Church of Jesus Christ of the Latter-day Saints (Mormons) religious beliefs? If so, I wonder not only how it affects Utah’s Economic related well-being, but how the LDS religion affects the entire culture of the state of Utah?

You may need to use the appropriate technology to answer this question.

An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use α = 0.05.

Find the value of the test statistic for method of loading and unloading.

Find the p-value for method of loading and unloading. (Round your answer to three decimal places.)

p-value =

State your conclusion about method of loading and unloading.

Because the p-value > α = 0.05, method of loading and unloading is not significant.Because the p-value ≤ α = 0.05, method of loading and unloading is significant.     Because the p-value ≤ α = 0.05, method of loading and unloading is not significant.Because the p-value > α = 0.05, method of loading and unloading is significant.

Find the value of the test statistic for type of ride.

Find the p-value for type of ride. (Round your answer to three decimal places.)

p-value =

State your conclusion about type of ride.

Because the p-value ≤ α = 0.05, type of ride is not significant.Because the p-value ≤ α = 0.05, type of ride is significant.     Because the p-value > α = 0.05, type of ride is not significant.Because the p-value > α = 0.05, type of ride is significant.

Find the value of the test statistic for interaction between method of loading and unloading and type of ride.

Find the p-value for interaction between method of loading and unloading and type of ride. (Round your answer to three decimal places.)

p-value =

State your conclusion about interaction between method of loading and unloading and type of ride.

Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is significant.Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is not significant.     Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is significant.Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is not significant.

2. You may need to use the appropriate technology to answer this question.

The calculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulted in the following data: SST = 282, SSA = 26, SSB = 22, SSAB = 179.Set up the ANOVA table. (Round your values for mean squares and F to two decimal places, and your p-values to three decimal places.)

Test for any significant main effects and any interaction effect. Use α = 0.05.

Find the value of the test statistic for factor A. (Round your answer to two decimal places.)

Find the p-value for factor A. (Round your answer to three decimal places.)

p-value =

State your conclusion about factor A.

Because the p-value ≤ α = 0.05, factor A is not significant.Because the p-value ≤ α = 0.05, factor A is significant.     Because the p-value > α = 0.05, factor A is not significant.Because the p-value > α = 0.05, factor A is significant.

Find the value of the test statistic for factor B. (Round your answer to two decimal places.)

Find the p-value for factor B. (Round your answer to three decimal places.)

p-value =

State your conclusion about factor B.

Because the p-value ≤ α = 0.05, factor B is significant.Because the p-value ≤ α = 0.05, factor B is not significant.     Because the p-value > α = 0.05, factor B is not significant.Because the p-value > α = 0.05, factor B is significant.

Find the value of the test statistic for the interaction between factors A and B. (Round your answer to two decimal places.)

Find the p-value for the interaction between factors A and B. (Round your answer to three decimal places.)

p-value =

State your conclusion about the interaction between factors A and B.

Because the p-value > α = 0.05, the interaction between factors A and B is not significant.Because the p-value ≤ α = 0.05, the interaction between factors A and B is not significant.     Because the p-value ≤ α = 0.05, the interaction between factors A and B is significant.Because the p-value > α = 0.05, the interaction between factors A and B is significant.

Discuss in detail (not just enumerate) at least three factors that contribute to the current worldwide expansion of vector-transmitted diseases.

Explain in some detail (not just enumerate) at least FOUR factors that contribute to healthcare-associated infections and four strategies to reduce their incidence.

With the use of a phase shift, the position of an object may be modeled as a cosine or sine function (as a function of time). If given the option, which function would you choose (Note: this is an open-ended question; there is no wrong answer; just be sure to explain your choice)? Assuming zero phase shift, if you are using a sine function to model the position of an object, what are the initial conditions of the oscillator---that is, the initial position, velocity, and acceleration of the oscillator at t = 0? How about if you use a cosine function to model the position?

With the use of a phase shift, the position of an object may be modeled as a cosine or sine function (as a function of time). If given the option, which function would you choose (Note: this is an open-ended question; there is no wrong answer; just be sure to explain your choice please)? Assuming zero phase shift, if you are using a sine function to model the position of an object, what are the initial conditions of the oscillator---that is, the initial position, velocity, and acceleration of the oscillator at t=0? How about if you use a cosine function to model the position?

3-1. On your first visit with gray sharma, he tells you he would like to know about some basic network designs. use microsoft paint or another drawing package to draw examples of the basic network topologies for gray. then, use the space below to summarize those topologies.

Explain the advantages and disadvantages of the topologies you summarized for gray in Assignment 3-1. Based on what you know at this point, which topology would you recommend for the physicians building? why would you recommend it?

Spam is of concern to anyone with an e-mail address. Several companies offer protection by eliminating spam e-mails as soon as they hit an inbox. To examine one such product, a manager randomly sampled his daily emails for 50 days after installing spam software. A total of 374 e-mails were received, of which 15 were spam. Is there evidence that the proportion of spam getting through is greater than 2%? α = 0.10 a. State your hypotheses. b. Which hypothesis test should you use? c. State your rejection rule (use the p-value approach). d. Show how the test statistic was calculated (write down the formula and plug in the numbers). e. What is the p-value? f. State your conclusion.

For this problem, you will use the data in the Emission Level column. A major car manufacturer wants to test a new engine to determine whether it meets new air-pollution standards. The mean emission ? of all engines of this type must be less than 20 parts per million (ppm) of carbon. Ten engines are manufactured for testing purposes, and the emission level of each is determined. The data is given in ppm. The test will be run with ? = 0.01. Assume it is known that ? = 3.01. a. State mathematically the null and alternative hypotheses for this test. H0: _________________________ H1: _________________________ b. State the decision rule for the test. c. (1) You might need Minitab to find the descriptive statistics for you, but then find the test statistic and pvalue “by hand,” showing all work/explanations below. (2) Use Minitab to run the appropriate hypothesis test (i.e., choose between the 1-sample Z and the 1-sample t in the Stat | Basic Statistics menu). Your choice for the Hypothesized mean (the nullhypothesized value for the mean) and the sign for Alternative hypothesis (found under Options) should match the hypotheses you wrote in part (a). Paste ALL of the Minitab output into this document, from the test name all the way down to the p-value. At the end of the output, state the test statistic and the p-value. d. State your conclusion to the hypothesis test – include a statement about rejecting or retaining H0 (and why) and also a concluding statement in plain English about emission level. Module 8 – Fishbowl Assignment – Group 1 e. In order to run the above test, we needed to know that the distribution of X is (approximately) normal. How do we know it is? Justify your answer. Listed are the ten engine data 15.6 16.2 22.5 20.5 16.4 19.4 16.6 17.9 12.7 13.9