The following equation has been estimated: stack s a t with hat on top =1028.10+19.3 hsize-1.90 hsize_squared-53.29 female-156.26 black+37.87 female*black (6.29) (3.83) (0.53) (4.29) (14.66) (18.15) The variable sat is the combined SAT score, hsize is the size of the students' high school graduating class in hundreds. The variable female is a gender dummy variable equal to 1 for females and 0 otherwise. Another variable black is a race dummy variable equal to 1 for black and 0 otherwise. Robust standard error in the parentheses. (1) Holding hsize fixed, what is the estimated difference in SAT score between nonblack males and black males? (2) Is this estimated difference calculated in (1) statistically significant from 0? Calculate the t statistics. (3) How statistically significant is this estimated difference? (4) Holding hsize fixed, what is the estimated difference in SAT score between black females and nonblack male?

Female athletes at the University of Colorado, Boulder, have a long-term graduation rate of 67% (Source: Chronicle of Higher Education). Over the past several years, a random sample of 38 female athletes at the school showed that 21 eventually graduated. Does this indicate that the population proportion of female athletes who graduate from the University of Colorado, Boulder, is now less than 67% ? Use a 5% level of significance.

a) Which distribution applies: the Standard Normal or the t distribution? Why?

b) What is the value of the level of significance? State the null and alternate hypotheses. Is it a left-tailed, right-tailed, or two-tailed test?

c) Compute the value of the sample test statistic (either t* or z*).

d) Find the critical value(s). Sketch the sampling distribution and show the critical value(s) and region(s).

e) Based on your answers in parts (a) to (d), will you reject or fail to reject the null hypothesis at the given level of significance?

f) Interpret your conclusion in the context of the application.

You are caring for a 25-year-old male admitted to the emergency room after passing out at the gym. During your admission assessment, he admits to having a history of “an eating disorder since high school.” Based on your knowledge of the pathophysiology of anorexia orbulimia nervosa address the following:

• Thoroughly explain the epidemiology of the disease process. Examine each of the following three elements:) The cultural; 2.) The financial; and 3.) The environmental implications related to this disease process. Support all three with a scholarly source!
• What would 3-5 priority nursing interventions be for the client with this disease process? This can include labs and diagnostics. What are critical indicators? Support with a scholarly source.
• Provide three areas of patient education you feel are critical to teach the client with a diagnosis of this disease. Consider medical product safety and the length of time the client has had the disease. Support with a scholarly source.
• What members of the interdisciplinary team need to be included for holistic patient-centered care? Provide a rationale and Support with a scholarly source.

One morning at breakfast, you notice your five-year-old son’s face appears bright red, as if he had been slapped. Upon closer inspection, you see that the redness is due to many tiny, red bumps on the skin. His arms and legs are also covered with this rash (though less than the face), with just a few bumps on the torso. He feels fine and doesn’t seem ill. He had chickenpox when he was 3 and all his immunizations are up to date. His throat looks normal with no redness, and he says it isn’t sore, either. He has had a runny nose for the last few days, but other than that he has seemed fine.
    1. What is your diagnosis? Why did you check his throat?

    2. Should he go to school today? Why or why not?

    3. Is this a rare infection? Explain.

    4. Are any sequelae associated with this infection? If so, name them

a). Professor Jennings claims that only 35% of the students at Flora College work while attending school. Dean Renata thinks that the professor has underestimated the number of students with part-time or full-time jobs. A random sample of 79 students shows that 35 have jobs. Do the data indicate that more than 35% of the students have jobs? Use a 5% level of significance.

What is the value of the sample test statistic? (Round your answer to two decimal places.)____?

b). A machine in the student lounge dispenses coffee. The average cup of coffee is supposed to contain 7.0 ounces. A random sample of six cups of coffee from this machine show the average content to be 7.3 ounces with a standard deviation of 0.70 ounce. Do you think that the machine has slipped out of adjustment and that the average amount of coffee per cup is different from 7 ounces? Use a 5% level of significance.

What is the value of the sample test statistic? (Round your answer to three decimal places.) ___________?

UNEMPLOYMENT
Pick an industry that typically has strong cyclical (peaks when the economy is strong) or counter-cyclical (peaks when the economy is weak) employment.   Find an online article that supports your identification of the industry.   Why do you suppose this industry has cyclical (or counter-cyclical) employment?

Example:   The Secondary Education Industry has a strong COUNTER-Cyclical employment relationship.   When the economy is very strong, individuals enter the workforce directly and bypass education.   However, when the economy is weak and people lose their job, employers have the ability to pick from a wider applicant pool.   As a result, individuals want to INCREASE their employability and get a degree.  When individuals choose to go to school, the schools must hire additional instructors and support staff to educate a larger enrolled population.   As a result, the employment in higher education is COUNTER-CYCLICAL.   This is what is meant by labor is a “derived” demand.  Firms (or colleges) will only hire based on the amount of the product they expect to produce (in this case students to educate). 

1. For each of the following, define the random variable using words, tell what kind of distribution each has, and calculate the probabilities. Every day when Sally drives to school, she has a 70% chance of not finding a parking spot in the closest lot to her classroom (otherwise, she finds a spot). Each day is independent, meaning that finding a spot on one day doesn’t change the probability of finding a spot on any other day.

(a) (3 points) What is the probability that the tenth day is the fifth day that she gets a spot in the closest lot?

(b) (3 points) What is the probability that the tenth day is the first day that she gets a spot in the closest lot?

(c) (3 points) What is the probability that the she gets to park in the closest lot in 5 out of the next 10 days?

(d) (3 points) If she parks in the close lot at least 3 times in a week (5 days), she will treat herself to ice cream. What is the probability that she gets ice cream?

1. What is the “discounted present value” of future returns and how does it relate to the “interest rate”?  Who do you expect values future returns more: you or your parents? Why?

2. Read Liza Heinzerling and Frank Ackerman, “Pricing the Priceless” Real World Micro, article 6.1.
   1. What is cost-benefit analysis? How would you apply cost-benefit analysis to your decision to go to a public college or a private school? What are the benefits and what are the costs of going to each?
   2. What happens to your analysis if the interest rate rises? What happens if the payoff period shrinks? Would you expect your parents to go to college?
   3. How would you apply cost-benefit analysis to environmental policy? What are the costs of pollution? What are the benefits? Who receives the benefits, and who bears the costs? When the benefits in the costs are received in different times, how can you compare them? What happens if you use a lower discount rate or a higher one?

ultiplication problems

The following table contains data regarding compliance with following directions on prescriptions with the level of

education a person has. Use this data to answer the following questions.

13. If 2 of the 100 subjects are randomly selected, find the probability that they are both PhD’s who followed the

prescription.

14. If you randomly select two people, what is the probability that you will select a person who has only their high

school diploma and a person who doesn’t follow the prescription?

15. If you randomly select two people, what is the probability that you will select a person who has their master’s

degree and a person who follows the prescription?

16. If you randomly select two people, what is the probability that you will select a person with a PhD who doesn’t

follow their prescription and a person with a Master’s degree who doesn’t follow their prescription?