The University of Arkansas recently approved out of state tuition discounts for high school students from any state. The students must qualify by meeting certain standards in terms of GPA and standardized test scores. The goal of this new policy is to increase the geographic diversity of students from states beyond Arkansas and its border states. Historically, 90% of all new students came from Arkansas or a bordering state. Ginger, a student at the U of A, sampled 180 new students the following year and found that 157 of the new students came from Arkansas or a bordering state. Does Ginger’s study provide enough evidence to indicate that this new policy is effective with a level of significance 10%? What would be the correct decision?

7. An objective of which program is to improve child health and nutrition by developing creative public and private partnerships?

A) School Breakfast Program

B) Team Nutrition Program

C) Special Milk Program

D) Summer Food Service Program

8. Which of the following programs provides free nutritious meals to low-income children during school vacations?

A) School Breakfast Program

B) Special Milk Program

C) Summer Food Service Program

D) Team Nutrition Program

9. The National School Lunch Program was established in:

A) 1945.

B) 1946.

C) 1954.

D) 1958.

10 The school lunch program is intended to provide at least ____ of children’s RDA for each nutrient.

A) one-fourth

B) one-third

C) 100 percent

D) No requirements are stipulated.

11. The Centers for Disease Control and Prevention provided guidelines for promoting healthy eating among school-aged children. The strategies include:

A) health education and physical education.

B) health services and nutrition services.

C) counseling, psychological, and social services.

D) healthy school environment and health promotion for staff.

E) All of these are correct.

The city of Stay at Home counted 150,000 people in the 1970s, when its wastewater treatment plant was built. Because of a recent economic boom, the city has been growing at a fast rate and new developments will bring the total population to 350,000 people within 10 years from now. There is no more footprint available to expand the existing plant, which is land locked in the middle of an industrial zone. The city council, therefore, decided to build a new plant on the other side of the town. This new plant will be designed to treat the wastewater from the additional 200,000 people. You are the designer. Analysis of the last 5 years of operating data shows that the old plant received an average volume of 15 million gallon per day (MGD) with an average BOD5 concentration of 250 mgBOD5/L and an average TSS concentration of 270 mgTSS/L. This average BOD5 and TSS data will be used as the reference to calculate the wastewater concentration and mass expected to be supplied to the new system. We know that the new houses and buildings that will be connected to the new plant will be much more water efficient (through a mandate for the new homes to use high efficiency water fixture and a mandate for the new buildings to treat and recycle wastewater onsite). It is, therefore, expected that customers connected to the new wastewater treatment plant will use half the volume of water used by customers connected to the old system. In order to estimate the new plant BOD5 and TSS mass loading, you assumed that, although people connected the new system will use half the amount of water, the mass of waste contributed by each person connected to both the old and new plants will be the same.

1. How much water does each person connected to the old wastewater treatment plant consume? (answer will be given in the unit of gal/person*day)

2. How much water does each person connected to the new wastewater treatment plant is expected to use? (answer will be given in the unit of lbBOD5/day)

Directions: Conduct a T test for Dependent Samples to answer the questions based on the following scenario. (Assume a nondirectional research hypothesis ( two-tailed test) and a level of significance of .05)

To further examine the school performance scores of the district the superintendent identified schools within the district that could be matched to schools from surrounding districts using a series of demographic characteristics such as size, socio-economic status, and percent special education students. The data that were collected are presented above.

1. What are the mean school performance scores for the superintendent's district and matched schools?

2. What are the standard deviations of the school performance scores for the superintendent's district and matched schools?

3. State an appropriate null hypothesis for the analysis.

4. What is the observed or computed value of t?

5. What is the value of degrees of freedom that are reported in the output?

6. What is the reported level of significance from the T Test for Dependent Means?

7. Based on the result of the T Test for Dependent Means, what would you conclude about the difference in scores of schools in the superintendent's district and the matched schools?

8. Present the result as they might appear in an article. This must include a table and narrative statement that reports the results of the T Test for Dependent Means.

why newly graduated high school students should consider trade and vocational school instead of the traditional college?

Your oldest daughter is about to start kindergarten at a private school. Tuition is $10, 000 per year, payable at the beginning of the school year. You expect to keep your daughter in private school through high school. You expect tuition to increase at a rate of 5% per year over the 13 years of her schooling. What is the present value of the tuition payments if the interest rate is 5% per year? How much would you need to have in the bank now to fund all 13 years of tuition?

Use t distribution to answer this question:

2. Medical schools A and B reported the following summary of MCAT (Medical Aptitude Test) verbal scores. Test the claim that the applicants of Medical school A score higher than their counterparts of Medical school B. (a) At α = 5%, use the Classical approach to conclude it. (b) Using the P-value approach to conclude it.

Medical school A : n=16, X bar=420, S²= 144

Medical school B : n=8, X bar=408,S²= 128

52. According to the High School Athletics Participation Survey, approximately 55% of students enrolled in high schools participate in athletic programs. You are preforming a study of high school students and would like at least 11 students in the study participating in athletics.

a. How many high school students do you expect to have to randomly select?

b. How many high school students do you have to select to have a 99% probability that the sample contains at least 12 who participate in athletics?

Suppose in a local Kindergarten through 12^th grade (K - 12) school district, 53 percent of the population favor a charter school for grades K through five. A simple random sample of 600 is surveyed. Calculate the following using the normal approximation to the binomial distribution. (Round your answers to four decimal places.

Find the probability that 315 or more favor a charter school for grades K through 5.

Find the probability that exactly 300 favor a charter school for grades K through 5.