Working as a school nurse in a K-7 building you are asked to present proposed preventive programs for 3 grade levels that you choose to the administrator and parent teacher organization leaders. Topic is to address the increase in childhood obesity. In three separate paragraphs detail the primary, secondary and tertiary preventive programs you will present, include the setting, participants, length of the program, budget considerations and how you will evaluate effectiveness.

. Every Tuesday afternoon during the school year, a certain university brought in a visiting speaker to present a lecture on some topic of current interest. On the day after the fourth lecture of the year, a random sample 250 students was selected from the student body at the university, and each of these students was asked how many of the four lectures they had attended. The counts for each combination of number of lectures and classification are given in the table below. number of lectures attended 0 1 2 3 4 freshman 14 19 20 4 13 classification sophomore 10 16 27 6 11 junior 15 15 17 4 9 senior 19 8 6 5 12 Suppose that an student is selected at random from this group. Let A denote the event that the selected student is a freshman, B denote the event that the selected student attended 3 lectures.

a) Calculate P(A), P(B), and P(A ∩ B).

b) Calculate both P(A | B) and P(B | A), and explain, in context, what each of these probabilities represents.

c) Calculate the probability that the selected student attended at least 2 lectures.

d) If the selected student attended at least 2 lectures, what is the probability that he or she is a junior?

An elementary school science teacher decided to liven up the classroom with a saltwater aquarium. Knowing that saltwater aquaria can be quite a hassle, the teacher proceeded stepwise. First, the teacher conditioned the water. Next, the teacher decided to stock the tank with various marine invertebrates, including a sea star, a sponge, a sea urchin, a jellyfish, several hermit crabs, some sand dollars, and an ectoproct. Last, she added some vertebrates−−a parrotfish and a clownfish. She arranged for daily feedings of copepods and feeder fish.

Had the teacher wanted to point out organisms that move and feed using the same structural adaptation, the teacher should have chosen the

Please use the following information to answer the question below.

An elementary school science teacher decided to liven up the classroom with a saltwater aquarium. Knowing that saltwater aquaria can be quite a hassle, the teacher proceeded stepwise. First, the teacher conditioned the water. Next, the teacher decided to stock the tank with various marine invertebrates, including a sea star, a sponge, a sea urchin, a jellyfish, several hermit crabs, some sand dollars, and an ectoproct. Last, she added some vertebratesa parrotfish and a clownfish. She arranged for daily feedings of copepods and feeder fish.

Had the teacher wanted to point out organisms that move and feed using the same structural adaptation, the teacher should have chosen the

In 2007, when she was a high-school senior, Eleanor scored 680 on the mathematics part of the SAT. The distribution of SAT math scores in 2007 was Normal with mean 515 and standard deviation 114. Gerald took the ACT mathematics test in the same year, and scored 27. ACT math scores for 2007 were Normally distributed with mean 21 and standard deviation 5.1.

1. Find the standardized scores for both students using the R like a calculator.

2. Assuming that both tests measure the same kind of ability, who scored higher?

3. It’s possible to score higher than 2400 on the SAT, but scores 2400 and above are reported as 2400. If the distribution of SAT scores (combining math and reading) are close to Normal with mean 1780 and standard deviation 351. What proportion of SAT scores are reported as 2400 (this includes the scores that are also higher than 2400)?

4. Which score divides the top 27% from the bottom 73% (using SAT information for Eleanor)?

9.14 (a) A random sample of size 144 is taken from the local population of grade-school children. Each child estimates the number of hours per week spent watching TV. At this point, what can be said about the sampling distribution?

(b) Assume that a standard deviation, σ, of 8 hours describes the TV estimates for the local population of schoolchildren. At this point, what can be said about the sampling distribution?

(c) Assume that a mean, μ, of 21 hours describes the TV estimates for the local population of schoolchildren. Now what can be said about the sampling distribution?

(d) Roughly speaking, the sample means in the sampling distribution should deviate, on average, about ___ hours from the mean of the sampling distribution and from the mean of the population.

(e) About 95 percent of the sample means in this sampling distribution should be between ___ hours and ___ hours.

From a random sample of 87 U.S. adults with no more than a high school education the mean weekly income is $678, with a sample standard deviation of $197. From another random sample of 73 U.S. adults with no more than a bachelor’s degree, the mean weekly income is $1137 with a sample standard deviation of $328 dollars. Construct a 95% confidence interval for the mean difference in weekly income levels between U.S. adults with no more than a high school diplomaand those with no more than a bachelor’s degree. There are 113 degrees of freedom in the appropriate probability distribution.

Technology Results for this problem:

If the problem is a hypothesis test:

1. Give the null and alternative hypotheses; (2 points)

2. Is this a one‐tailed or two‐tailed test? Think about the null hypothesis. How do you know

   that this is a one or two‐tailed test? (1 point)

3. Show whether the criteria for approximate normality are met. (1 point)

4. Summarize the sample statistics (1 point)

5. Give the formula for the test statistic; (1 point)

6. Using the technology results provided, point out the value for the test statistics, degree of

   freedom, and the p-value. (1 point)

7. Using the p-value and the significance level, make a decision on the null hypothesis. (1

   point)

8. What decision can you make about the alternative hypothesis? (1 point)

9. Write your conclusion in the context of the problem. (1 point)

If the problem is a confidence interval:

1. Show whether the criteria for approximate normality are met. (1 point)

2. Summarize the sample statistics. (1 point)

3. Give the formula for the margin of error or test statistic. (1 point)

4. Give the formula for the confidence interval. (1 point)

5. Based on the technology results provided, write the 95% confidence interval. (3 points)

6. Interpret the results in the context of the problem (3 points)

Many high school students take the AP tests in different subject areas. In 2007, of the 144,796 students who took the biology exam 84,199 of them were female. In that same year, of the 211,693 students who took the calculus AB exam 102,598 of them were female ("AP exam scores," 2013). Estimate the difference in the proportion of female students taking the biology exam and female students taking the calculus AB exam using a 90% confidence level.

Considering it is asking for the "difference" in the proportion, what would the null hypothesis (H0) and the alternative hypothesis be (H1)?

The HRI company is considering selling its School of Business to Yale. The proposed deal would require Yale to pay HRI $30,000 and $25,000 at the end of years 1 and 2, and to also make yearly payments (at the end of the year) of $15,000 in years 3 through 9. Yale would make a final payment to HRI for $10,000 at the end of year 10. If the discount rate is 12% what is the present value of the series of payments?

A survey of MBA graduates of a business school obtained data on the first-year salary after graduation and years of work experience prior to obtaining their MBA. The data are given in excel.

Q: Write out the assumptions of simple linear regression. Use the output to validate assumptions or indicate if an assumption is not met.

Coaching companies claim that their courses can raise the SAT scores of high school students. But students who retake the SAT without paying for coaching also usually raise their scores. A random sample of students who took the SAT twice found 427 who were coached and 2733 who were uncoached. Starting with their verbal scores on the first and second tries, we have these summary statistics: Try 1 Try 2 Gain n n x ¯ ¯ ¯ x¯ s s x ¯ ¯ ¯ x¯ s s x ¯ ¯ ¯ x¯ s s Coached 427 500 92 529 97 29 59 Uncoached 2733 506 101 527 101 21 52 Estimate a 96% confidence interval for the mean gain of all students who are coached. to at 96% confidence. Now test the hypothesis that the score gain for coached students is greater than the score gain for uncoached students. Let μ 1 μ1 be the score gain for all coached students. Let μ 2 μ2 be the score gain for uncoached students.

(a) Give the alternative hypothesis: μ 1 − μ 2 μ1−μ2 0 0 .

(b) Give the t t test statistic:

(c) Give the appropriate critical value for α= α= 5%: . The conclusion is A. There is sufficient evidence to support the claim that with coaching, the mean increase in scores is greater than without coaching. B. There is not sufficient evidence to support the claim that with coaching, the mean increase in scores is greater than without coaching.

please show your work . thank you !