Wells Technical Institute (WTI), a school owned by Tristana Wells, provides training to individuals who pay tuition directly to the school. WTI also offers training to groups in off-site locations. Its unadjusted trial balance as of December 31, 2017, follows. WTI initially records prepaid expenses and unearned revenues in balance sheet accounts. Descriptions of items a through h that require adjusting entries on December 31, 2017, follow.

An analysis of WTI's insurance policies shows that $4,129 of coverage has expired.

An inventory count shows that teaching supplies costing $3,578 are available at year-end 2017.

Annual depreciation on the equipment is $16,515.

Annual depreciation on the professional library is $8,258.

On November 1, WTI agreed to do a special six-month course (starting immediately) for a client. The contract calls for a monthly fee of $2,700, and the client paid the first five months' fees in advance. When the cash was received, the Unearned Training Fees account was credited. The fee for the sixth month will be recorded when it is collected in 2018.

On October 15, WTI agreed to teach a four-month class (beginning immediately) for an individual for $5,420 tuition per month payable at the end of the class. The class started on October 15, but no payment has yet been received. (WTI's accruals are applied to the nearest half-month; for example, October recognizes one-half month accrual.)

WTI's two employees are paid weekly. As of the end of the year, two days' salaries have accrued at the rate of $100 per day for each employee.

The balance in the Prepaid Rent account represents rent for December.

1. Prepare the necessary adjusting journal entries for items a through h. Assume that adjusting entries are made only at year-end.

2-a. Post the balance from the unadjusted trial balance and the adjusting entries into the T-accounts.

2-b. Prepare an adjusted trial balance

3-a. Prepare Wells Technical Institute's income statement for the year 2017.

3-b. Prepare Wells Technical Institute's statement of owner's equity for the year 2017.

3-c. Prepare Wells Technical Institute's balance sheet as of December 31, 2017.

A researcher wants to determine whether high school students who attend an SAT preparation course score significantly different on the SAT than students who do not attend the preparation course. For those who do not attend the course, the population mean is 1050 (μ = 1050). The 16 students who attend the preparation course average 1150 on the SAT, with a sample standard deviationof 300. On the basis of these data, can the researcher conclude that the preparation course has a significant difference on SAT scores? Set alpha equal to .05.Q78:The appropriate statistical procedure for this example would be aA.z-testB.t-testQ79:Is this a one-tailed or a two-tailed test?A.one-tailedB.two-tailed 11Q80:The most appropriate null hypothesis (in words) would beA.There is no statistical difference in SAT scores when comparing students who took theSAT prep course with the general population of students who did not take the SAT prep course.B.There is a statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take theSAT prep course.C.The students who took the SAT prep course did not score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course.D.The students who took the SAT prep course did score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course.Q81:The most appropriate null hypothesis (in symbols) would beA.μSATprep= 1050B.μSATprep= 1150C.μSATprep1050D.μSATprep1050Q82:Set up the criteria for making a decision. That is, find the critical value using an alpha = .05. (Make sure you are sign specific: + ; -; or ) (Use your tables)Summarize the data into the appropriate test statistic.Steps:Q83:What is the numeric value ofyour standard error?Q84:What is the z-value or t-value you obtained (your test statistic)?Q85:Based on your results (and comparing your Q84 and Q82 answers) would youA.reject the null hypothesisB.fail to reject the null hypothesisQ86:The best conclusion for this example would beA.There is no statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.B.There is a statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.C.The students who took the SAT prep course did not score significantly higher on the SAT when compared to the generalpopulation of students who did not take the SAT prep course.D.The students who took the SAT prep course did score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. 12Q87:Based on your evaluation of the null in Q85 and your conclusion is Q86, as a researcher you would be more concerned with aA.Type I statistical errorB.Type II statistical errorCalculate the 99%confidence interval.Steps:Q88:The mean you will use for this calculation isA.1050B.1150Q89:What is the new critical value you will use for this calculation?Q90:As you know, two values will be required to complete the following equation:__________ __________Q91:Which of the following is a more accurate interpretation of the confidence interval you just computed?A.We are 99% confident that the scores fall in the interval _____ to _____.B.We are 99% confident that the average score on the SAT by the students who took the prep course falls in the interval _____ to _____.C.We are 99% confident that the example above has correct values.D.We are 99% confident that the difference in SAT scores between the students who took the prep course and the students who did not falls in the interval _____ to ____

In a recent year, grade 6 Michigan State public school students taking a mathematics assessment test had a mean score of 303.1 with a standard deviation of 36. Possible test scores could range from 0 to 1000. Assume that the scores were normally distributed.

a)  Find the probability that a student had a score higher than 295.

b) Find the probability that a student had a score between 230 and 305.

c) What is the highest score that would still place a student in the bottom 16% of the scores?

Please show all work or if you used a TI 84 please explain the necessary steps to get the answer, thank you for the help :)

School administrators wondered whether class size and grade achievement (in percent) were related. A random sample of classes revealed the following data:  

No. Students (x) 15 10 8 20 18 6

Avg. grade (%) (y) 85 90 82 80 84 92

Use a significance level of .05 to test the claim that the two variables (no. students and avg grade) are linearly related.

Based on your analysis, what is the best predicted avg grade for a class size of 12 ? Round your answer to one decimal place (i.e. one digit to the right of the decimal place)

The executive education (EE) unit at the Business School of Central State University offers both open-enrollment (anyone can sign up) and custom (designed for a specific client) executive education programs. CSU has just received an inquiry from a prospective client about its prices for leadership seminars. The prospective client wants bids for three alternative activity levels: (1) one seminar with 20 participants, (2) four seminars with 20 participants each (80 participants total), or (3) eight seminars with 140 participants in total. EE’s cost analyst has provided the following differential cost estimates.

In addition to the preceding differential costs, EE allocates fixed costs to jobs on a direct-labor-cost basis, at a rate of 70 percent of direct labor costs (excluding setup costs). For example, if direct labor costs are $100, EE would also charge the job $70 for fixed costs. EE charges clients for its costs plus 30 percent. For the purpose of charging customers, costs equal the setup costs plus materials costs plus differential labor costs plus allocated fixed costs. EE has enough excess capacity to handle this job with ease.

Required:

a. Assume EE's bid equals the total cost, including fixed costs allocated to the job, plus the 30 percent markup on cost. What should EE bid for each of the three levels of activity?

b. Compute the differential cost (including setup costs) and the contribution to profit for each of the three levels of activity. Note that fixed costs are not differential costs.

c. Assume the prospective client gives three options. It is willing to accept either of EE's bids for the one-seminar or four-seminar activity levels, but the prospective client will pay only 80 percent of the bid price for the eight-seminar package. EE's director responds, "We can't make money in this business by shaving our bids! Let's take the four-seminar option because we make the most profit on it."

c-1. What would be the contribution to profit for each of the three options?

c-2. Do you agree with the EE's director?

Overfeeding, Disuse, and Cardiometabolic Outcomes

1. Explain why a child who goes to school without eating breakfast would have difficulty concentrating on schoolwork.

2. Explain why caloric restriction alone would not be a feasible way to attain a 3:1 SER. List several other strategies for achieving a 3:1 SER.

3. Describe three cellular impairments resulting from substrate build-up in the cell. How do these cellular impairments relate to whole-body metabolic function?

4. Rank the risk factors of obesity, smoking, hypertension, and physical inactivity according to their level of public health burden. Be ready to justify your ranking.

5. In addition to the multisector strategies for improving population levels of physical activity described at the end of the chapter, list five of your own. How feasible would your strategies be to enact?

6. Does a ban on the sale of large sugary drinks (think Big Gulp or Double Gulp at 7-Eleven) make sense for public health practice? Why or why not?

Maternal Biology

1. Approximately 50% of pregnancies in the United States are unintended. In thinking about embryology, why is this a significant public health concern?

2. Fetal alcohol exposure is the leading cause of mental retardation in the United States. The data reveal a direct dose–response relationship between the amount of maternal alcohol consumption and the severity of adverse fetal outcomes; however, they do not identify a minimum threshold of effect.

• Discuss how these data inform the opinions of the CDC, ACOG, the American College of Nurse-Midwives, and other major health organizations that assert there is no safe level of alcohol consumption in pregnancy.

• How would you explain these data in simple terms to a friend who asks you if it is safe to have a few drinks in pregnancy?

3. In February 2016, the CDC provoked significant controversy with the release of the following recommendations in the Morbidity and Mortality Weekly Report, 2011-2013.

Three in four women who wanted to get pregnant as soon as possible reported drinking alcohol, putting them at risk for an alcohol-exposed pregnancy. Any sexually active woman of reproductive age who is drinking alcohol and not using birth control is at risk for an ­alcohol-exposed pregnancy.

To help prevent adverse consequences of alcohol consumption during pregnancy, health care providers should discuss and recommend, as appropriate, available contraception methods to women who are sexually active and drink alcohol.

• What was the likely intent of this public health message?

• Discuss some of the possible sources of controversy. What assumptions did the CDC make about its target audience? What might have been some effects of these assumptions?

• One of the major challenges in public health is to develop and disseminate messages that address risky health behaviors, while also not infringing on an individual’s sense of personal freedom or choice. Given your knowledge of pregnancy, embryology, and prenatal care, discuss alternative public health strategies for addressing fetal alcohol syndrome in the United States.

Aging

1. List several political, social, and economic consequences of having a shrinking workforce population (aged 18–64 years) relative to a growing population of older adults (≥ 65 years) in developed countries.

2. Let’s assume a marathon runner maintained exactly the same training regimen through middle age and after menopause. Describe the trajectory over 10 years in her marathon times and her body weight and why this might be so.

3. Discuss the pros and cons of compressing morbidity within a set life expectancy vs. extending the life expectancy without attempting to compress morbidity.

4. How can you help an older parent or relative to “age in place”? What would need to happen?

5. Create your own 2020 Health Objectives for older people.

Wells Technical Institute (WTI), a school owned by Tristana Wells, provides training to individuals who pay tuition directly to the school. WTI also offers training to groups in off-site locations. Its unadjusted trial balance as of December 31, 2018, follows. WTI initially records prepaid expenses and unearned revenues in balance sheet accounts. Descriptions of items a through h that require adjusting entries on December 31, 2018, follow.
  
Additional Information Items

1. An analysis of WTI's insurance policies shows that $2,400 of coverage has expired.
2. An inventory count shows that teaching supplies costing $2,800 are available at year-end 2018.
3. Annual depreciation on the equipment is $13,200.
4. Annual depreciation on the professional library is $7,200.
5. On November 1, WTI agreed to do a special six-month course (starting immediately) for a client. The contract calls for a monthly fee of $2,500, and the client paid the first five months' fees in advance. When the cash was received, the Unearned Training Fees account was credited. The fee for the sixth month will be recorded when it is collected in 2019.
6. On October 15, WTI agreed to teach a four-month class (beginning immediately) for an individual for $3,000 tuition per month payable at the end of the class. The class started on October 15, but no payment has yet been received. (WTI's accruals are applied to the nearest half-month; for example, October recognizes one-half month accrual.)
7. WTI's two employees are paid weekly. As of the end of the year, two days' salaries have accrued at the rate of $100 per day for each employee.
8. The balance in the Prepaid Rent account represents rent for December.
   

1) Prepare the necessary adjusting journal entries for items a through h. Assume that adjusting entries are made only at year-end.

2A) Post the balance from the unadjusted trial balance and the adjusting entries into the T-accounts.
2B) Prepare an adjusted trial balance.

3A)Prepare Wells Technical Institute's income statement for the year 2018.
3B) Prepare Wells Technical Institute's statement of retained earnings for the year 2018.
3C) Prepare Wells Technical Institute's balance sheet as of December 31, 2018.

A business school claims that students who complete a 3-month typing course can type a mean of more than 1200 words an hour. A random sample of 25 students who completed this course typed a mean of 1163 words an hour, with a sample standard deviation of 87 words. Assume that typing speeds for all students who complete this course have an approximately normal distribution. (a) Using the critical value method and a significance level of 1%, is there evidence to support the business school’s claim? (b) What would a Type II error be in this case?

A peony plant with red petals was crossed with another plant having streaky petals. A geneticist states that 70% of the offspring resulting from this cross will have red flowers. To test this, 80 seeds from this cross were collected and germinated and 46 plants had red petals. (a) Is there sufficient evidence at the 0.02 significance level to indicate the proportion of the hybrid plants with red petals differs from 70%? Use the P-value method in your test. (b) What would a Type I error be in this case?

Suppose John is a high school statistics teacher who believes that eating candy improves focus, which leads to higher test scores. Immediately after giving the most recent test, he surveyed each of the 35 students in his class and asked them how many individual candies they ate that week. He then matched each student's test grade with his or her survey response. After compiling the data, he used the number of candies eaten to predict each student's test score. He found the least-squares regression line to be ?̂=2.8?+86y^=2.8x+86. He also calculated that the value of ?r, the correlation coefficient, was 0.54.

Which of the choices identifies the correct value of the coefficient of determination, ?2R2, and gives a correct interpretation of its meaning?

?2=0.54R2=0.54, meaning 54% of the total variation in test scores can be explained by the least‑squares regression line.

?2=0.2916R2=0.2916, meaning 29.16% of the total variation in test scores can be explained by the least‑squares regression line.

?2=0.54R2=0.54, meaning 54% of the total variation in the number of candies eaten can be explained by the least‑squares regression line.

?2=0.7348R2=0.7348, meaning 73.48% of the total variation in test scores can be explained by the least‑squares regression line.

?2=0.2916R2=0.2916, meaning 29.16% of the total variation in the number of candies eaten can be explained by the least‑squares regression line.