Compute and Interpret Coverage, Liquidity and Solvency Ratios

Selected balance sheet and income statement information from CVS Health Corp. for 2014 through 2016 follows ($ millions).

a. Compute times interest earned ratio for each year and discuss any trends for each. Round answers to one decimal place.

Based on your computations above, select the most appropriate answer.

Times interest earned has steadily increased since 2014.

Times interest earned has steadily decreased since 2014.

Times interest earned has remained the same since 2014.

Times interest earned increased in 2015 but then decreased in 2016.

1.00 points out of 1.00

b. Compute the current ratio for each year and discuss any trend in liquidity. Round answers to one decimal place.

Do you believe the company is sufficiently liquid? Explain.

CVS’s current ratio has increased over the past three years and is greater than 1, indicating CVS is liquid.

CVS’s current ratio has decreased over the past three years and it is currently less than 1 indicating CVS is not liquid.

CVS’s current ratio has increased over the past three years, however, it remains less than 1 indicating CVS is not liquid.

CVS’s current ratio has decreased over the past three years, however, it is greater than 1 indicating CVS is liquid.

1.00 points out of 1.00

c. Compute the total liabilities-to-equity ratio for each year and discuss any trends for each.

Round answers to one decimal place.

Consider two employers and their respective optimal turnover policies. The first is a biology department in a research university. To increase the ranking of the department, professors must publish in top journals and win large grants from the NIH (which has a low funding rate). The second is a large chain of department stores which hire retailers and managers to work the cash register and make clothing recommendations for customers based on the store’s current inventory. a) Which employer should aim for relatively high turnover? Give at least two reasons to support your claim. Department of Economics Professor Frank University of Iowa Spring 2018 b) Which employer should aim to reduce turnover? Give at least two reasons why.

Market equilibrium occurs when the amount of people that are willing to buy equals the amount of people that are willing to sell. A steadfast tenant in economics. As students here at Post let’s surmise that right now Post is at market equilibrium. We have enough Instructors to match the number of students. However, two scenarios occur; first, student enrollment falls, so Post decides it must now raise tuition. Not good…. Or, enrollment increases! And Post decides to, you guessed it, increase tuition. Why in each scenario would the University raise tuition and, why should tuition NOT be raised, in either scenario? Talk to this from both your point of view as well as if you were on the Board of Directors for the University. What’s the right thing to do, and why???

Suppose the demand and supply curves for units of university credits are given by the following equations: Q D = 5400 − 2P Q S = 3P − 400 where QD is the quantity of credits demanded, QS is the quantity supplied, and P is the price charged for each unit in dollars. (a) (3 points) What is the free-market equilibrium Price and Quantity. (b) (3 points) Suppose that the government wants to make education more accessible and therefore passes a regulation that says no university can charge more than $800 per credit. What is the new equilibrium Price and Quantity? (c) (4 points) Calculate the shortage or surplus generated by this government policy. Show it on graph. Include your answers from part (a) and (b) on the graph.

1. A university has 10,000 students of which 45% are male and 55% are female. If a class of 30 students is chosen at random from the university population, find the mean and variance of the number of male students. Group of answer choices Mean = 16.5, Variance = 2.7 Mean = 13.5, Variance = 2.7 Mean = 16.5, Variance = 7.4 Mean = 13.5, Variance = 7.4

2. At a particular hospital, 40% of staff are nurse assistants. If 12 staff members are randomly selected, what is the probability that exactly 4 are nurse assistants?

3. Let X be a binomial distribution with n = 20 and p = .4 then the variance is

4.

Find the mean of the distribution shown below.

A university provides an opportunity for members to take part in training about how to respond to students’ questions. University managers believes that less than 60% of the members took part in the training. You are asked to examine whether there is any evidence to support this claim. You have surveyed 25 members and found that 17 of them have been benefited from the training.

Write down the null and alternative hypotheses in words.

Null hypothesis:
Alterative hypothesis:

State the direction of the test you are conducting and explain why you have chosen this test.

Using a level of significance (α) of 1%, determine the critical value(s).

Determine your decision rule (drawing a diagram on a paper may be helpful).

Calculate your test statistic.

Academic drops have been a concern for university administration due to the negative impact they have on graduation rates and consequently the image of the university.

The Management Department has collected the data for 10 semesters with the following results:

Academic drops from the last 20 to 10 semesters have been:

10, 7, 8, 9, 8, 6, 10, 12, 8, 10.

Has the Management Department seen a significant change in the number of academic drops over the last 5 years?

              b.    The 10 most recent semesters of sample data are: 5, 6, 8, 4, 2, 4, 3, 4, 3, 2.

              c.    Based on your evaluation of these data should the Management Department change their program to lower academic drops?

There are a lot of strategies for setting up network defense systems. Physical restrictions can be put in place, such as separating hardware, or using switches and cabling to do so. One can also use virtualized segmentation in the form of VLANs, and virtual networks (including switches). What strategy do you feel is best suited to defend against modern cybersecurity threats? State your opinion concerning which technologies you would deploy if you were positioned to protect a university campus from cybersecurity threats. use any type of security, just need to know what is a strategy you would use that will defend against cybersecurity threats, and why? What is the best technology to use if I was to deploy one for a university?

I'm struggling with writing null and alternative hypothesis for two populations. Can anyone please explain HOW TO write the correct Ho and Ha for the following questions? Thanks.

Examples:

1) Mean entry-level salaries for college graduates with mechanical engineering degrees and electrical engineering degrees are believed to be approximately the same. A recruiting office thinks that the mean mechanical engineering salary is actually lower than the mean electrical engineering salary. The recruiting office randomly surveys 50 entry level mechanical engineers and 60 entry level electrical engineers. Their mean salaries were $46,100 and $46,700, respectively. Their standard deviations were $3,450 and $4,210, respectively. Conduct a hypothesis test to determine if you agree that the mean entry-level mechanical engineering salary is lower than the mean entry-level electrical engineering salary.

2) A powder diet is tested on 49 people, and a liquid diet is tested on 36 different people. Of interest is whether the liquid diet yields a higher mean weight loss than the powder diet. The powder diet group had a mean weight loss of 42 pounds with a standard deviation of 12 pounds. The liquid diet group had a mean weight loss of 45 pounds with a standard deviation of 14 pounds.

3) A study is done to determine if students in the California state university system take longer to graduate, on average, than students enrolled in private universities. One hundred students from both the California state university system and private universities are surveyed. Suppose that from years of research, it is known that the population standard deviations are 1.5811 years and 1 year, respectively. The following data are collected. The California state university system students took on average 4.5 years with a standard deviation of 0.8. The private university students took on average 4.1 years with a standard deviation of 0.3.