What impact does paternalism have in public health programs and services? With respect to the Ontario School Food and Beverage Policy (OSFBP), explain how autonomy and beneficence may be in conflict with this policy. What affect does the policy have on adolescents? What outcomes do public health officials expect to achieve? What are the ultimate goals of public health officials who support school food policies?
In: Nursing
I really do not understand how to explain aggregate willingness to pay. This question on my homework is throwing me through a loop.
Suppose you want to determine the aggregate willingness to pay among students at your school or employees at your employer for increasing recycling at the school or workplace. How might you do this?
Can someone explain aggregate willingness to pay
Then how to relate this back to the homework questions.
In: Economics
1. The Classical school of thought believed that velocity is unstable and unpredictable, making monetary policy weak and ineffective. True False
2. Milton Friedman was a: Keynesian economist. real business cycle economist. supply-side economist. monetarist economist. rational expectations economist.
3. The original Keynesian school dominated macro economic thinking: 1800s to 1933. 1997-2017. 1759-1793. 1933-1980.
In: Economics
Discuss whether the human capital and signaling models have different implications for each of the following education policies:
a. Providing financial aid to students for college.
b. Introducing a test that high school students could take to provide reliable measures of task commitment and capacity to work effectively in teams.
c. Increasing the age at which students can drop out of high school from 16 to 17.
In: Economics
Historically, 20% of graduates of the engineering school at a major university have been women. In a recent, randomly selected graduating class of 210 students, 58 were females. Does the sample data present convincing evidence that the proportion of female graduates from the engineering school has shifted (changed)? Use α = 0.05. Determine what type of error (Type I or II) could be made in the question above.
In: Math
What subcultures do you see operating at work and/or school and how do they affect your relationships and daily events. What diversity issues have you experienced and how would you as a manager deal with them. For example, if you see discrimination against women being practiced at your job or at school, what would you do as a manager or Dean? please answer in at least 500 words
In: Operations Management
Second chance 1st attempt was wrong
A school psychologist wants to determine whether children who live with both parents perform better on school work than children who live with a single parent. She gathers two groups for her comparison, 20 children who live with both parents and another 20 who live with a single parent. The psychologist plans to use scores on a standardized achievement test as an indicator of school performance. Respond to the prompts below. (1 point each)
In: Statistics and Probability
A researcher wants to determine whether there is a difference in the average age of elementary school, high school, and community college teachers. Teachers are randomly selected. Their ages are recorded below. Can you reject the claim that there is no difference in the average age of each group? Use 5% level of significance.
| Elementary Teachers | High School Teachers | CC Teachers |
| 24 | 37 | 45 |
| 28 | 42 | 36 |
| 25 | 39 | 39 |
| 52 | 48 | 61 |
| 36 | 43 | 35 |
| 22 | 32 | 45 |
a) State the hypothesis
b) Find the standardized test statistic, include which calculator function was used.
c) Draw the distribution, shading the tail, and labeling the value(s).
d) Make your decision and state why.
e) Write the interpretation, and answer the question.
In: Statistics and Probability
In: Statistics and Probability
In a recent national poll, people were asked the following question: "In your opinion, how important is it to improve the nation's inner-city schools?" The responses of city residents who do not have school-age children were compared to the national responses. A chi square test was used to analyze the data in order to determine whether there is a difference in responses between those who live in cities and do not have school-age children and the national responses. The results of the study are displayed in the following table. The analysis revealed a chi square value of 4.32, significant at p=.36.
|
RESPONSE |
NO CHILDREN IN SCHOOL |
NATIONAL TOTALS |
|
Very Important |
78 |
80 |
|
Fairly Important |
13 |
15 |
|
Not VeryImportant |
6 |
3 |
|
Not Important at All |
2 |
1 |
|
Don't Know |
1 |
1 |
In: Statistics and Probability