PLEASE ANSWER ALL QUESTIONS !

1. Gwen suspects fraud is occurring at a hotel she manages. Historically, each of her hotels spends $8,250 per month in maintenance expenses with a standard deviation of $1,070. At the suspect hotel, the last 31 months have averaged $8,490 in maintenance expenses. Gwen thinks the hotel is spending significantly more than the others. Use the 10% significance level.

Calculate the value of the test statistic.

Select one:

a. 0.87

b. 0.89

c. 1.36

d. 1.25

e. 1.54

2. Harley is working as a waiter at a restaurant while paying his way through school. The manager told him he could expect $95 per night in tips with a standard deviation of $30. However, after 32 nights he is averaging only $85 in tips. He wants to know if this is significantly different at the 5% significance level.

Calculate the value of the test statistic.

Select one:

a. -2.06

b. -1.61

c. -1.89

d. -2.26

e. -2.64

A (field) hockey player is running north at a speed of 8 m⋅s−1. A ball is coming directly towards her from the north at a speed of 18 m⋅s−1. She swings her stick forward, directly north, at a speed of 6 m⋅s−1 measured in her own frame of reference. What is the speed of the ball with respect to the hockey stick?

Relative to the hockey stick, the ball is travelling at ____ m⋅s−1.

Jane's brother Andrew leaves home for school at 8:00 am. He walks at 3.3 kph. At 8:20 am Jane discovers that Andrew has left his homework at home. She decides to follow him on her bicycle and give him his homework, but she wants to be back home in time for an online test at 9 am. What is the minimum constant speed at which she needs to ride? (Hint: At what time of day will they meet?)

Jane must ride at least ______ kph.

Paired-/Related Samples T-test

Use it to test whether there is a difference between the two conditions(note: conditions must be RELATED-participants provide in each condition).

You are interested in the relationship satisfaction of young adults before and after they go off to college/university, which separates them from their sweetheart. You asked four couples to rate the satisfaction of their relationship (on a scale of 0-50) before leaving for school and then again after a semester. Here are the data:

Pair Before After

1 40 32

2 38 31

3 36 30

4 42 31

1. State the null and alternative hypotheses as well as your criterion:

2 .State your assumptions

3. Calculate difference scores, the sum of difference scores and the sum of difference scores squared:

4. Calculate t

5. Figure out your degrees of freedom and use this to find the critical t value

6. Reject or fail-to-reject the null hypothesis and state your conclusions.

Required information Skip to question [The following information applies to the questions displayed below.] In 2019, Laureen is currently single. She paid $2,500 of qualified tuition and related expenses for each of her twin daughters Sheri and Meri to attend State University as freshmen ($2,500 each for a total of $5,000). Sheri and Meri qualify as Laureen’s dependents. Laureen also paid $1,800 for her son Ryan’s (also Laureen’s dependent) tuition and related expenses to attend his junior year at State University. Finally, Laureen paid $1,300 for herself to attend seminars at a community college to help her improve her job skills. What is the maximum amount of education credits Laureen can claim for these expenditures in each of the following alternative scenarios? (Leave no answer blank. Enter zero if applicable.)

c. Laureen’s AGI is $45,000 and Laureen paid $12,200 (not $1,800) for Ryan to attend graduate school (i.e, his fifth year, not his junior year).

In a study entitled Sleep Disorders in Children with Incidental Pineal Cyst on MRI: A Pilot Study by Del Rosso, et al. involving children aged 6–12 years, who were referred for evaluation of headaches, tics, or syncope, and had an incidental pineal cyst on an otherwise normal brain MRI, it was found out that school-age children with pineal cysts have significantly increased levels of sleepiness and difficulty with sleep initiation and maintenance than those with normal MRI.

6. Describe the gross anatomy of the pineal gland.

7. Enumerate the different types of cell of the pineal gland.

8. In the study, propose a logical reason why children who have incidental finding of pineal cyst on brain MRI had significantly increased levels of sleepiness and difficulty with sleep initiation than those with normal MRI.

9. How does pineal gland play a role in jet lag syndrome?

10. Enumerate the tumors that may arise from the pineal gland.

Perform the hypothesis tests below, show your steps and calculations. Identify the distribution that you will be using for each one. Please remember to draw your conclusions and interpret your decisions

1-According to the National Coalition on Health Care, the mean annual premium for an employer health plan covering a family of four cost $11,500 in 2007. A random sample of 100 families of four taken this year showed a mean annual premium of $11,750. Assuming $1500  = , test whether the mean annual premium has increased, using a 0.05 significant level. Use the p-value method

2- Health issues due to being overweight affect all age groups. Of children and adolescents 6 – 11 years of age, 18.8% are found to be overweight. A school district randomly sampled 130 students in this age group and found that 20 were considered overweight.   At the 90% level of confidence, is this less than the national proportion? Use the p-value method.

Merliss Company (a specialty bike-accessory manufacturer) is expecting growth in sales of some products targeted to the low-price market. Merliss is contemplating a preference share issue to help finance this expansion in operations. The company is leaning toward preference shares because ownership will not be diluted, but the investors will get an extra dividend if the company does well. The company management wants to be certain that its reporting of this transaction is transparent to its current shareholders and wants you to research the disclosure requirements related to its capital structure.

Instructions If your school has a subscription to the FASB Codification, go to http://aaahq.org/ascLogin.cfm to log in and prepare responses to the following. Provide Codification references for your responses.

(a) Identify the authoritative literature that addresses disclosure of information about shareholders’ equity.

(b) Find definitions of the following:

(1) Securities.

(2) Participation rights.

(3) Preferred stock.

(c) What information about securities must companies disclose? Discuss how Merliss should report the proposed preferred stock issue.

As a criminologist, you are interested in the factors related to juvenile offending. You think that time spent studying influences delinquent behavior. In a group of 21 high school students, you collect information about the number of times a juvenile has broken curfew this month and how much time they spend studying this month. You break the sample into three groups, those who spend no time studying, those who spend less than 1 hour per day, and those who spend more than 1 hour per day).

a) What is the independent variable?              

b) What is the dependent variable?

c) What is the null hypothesis?

d) What is the research hypothesis?

e) Interpret the results.

Let’s consider a study that followed a randomly selected group of 100 State U students during a two-year period at the school. The study found that a linear relationship exists between the number of hours students spend engaging in social media each week and their cumulative gpa during the two-year period. The model for this relationship can be given by the equation

g?pa = −0.032 × (hours) + 2.944 (a) Interpret the slope of the line in the context of the data.

(b) The residual gpa for a particular student who spent 20 hours per week using social media was found to be 0.476. What was this student’s cumulative gpa during the two-year period?

(c) Would the correlation coefficient for the linear relationship be positive or negative? Explain.

(d) If another study found that the linear correlation coefficient between a student’s gpa and the number of hours spent at the library was r = 0.46, could you conclude that this relationship is stronger than the one between gpa and hours spent on social media? Explain.