Suppose you are now a Founder and CEO of Rent the Dresses, Inc., an online rental site for premium dresses primarily for women. Because the business is a start-up, there is no accountant on the management team yet, so you have been doing the accounting. You notice that an average of 100,000 visitors come to your website, of which 60% browse through the website. 20% of them register and put at least one item in the shopping cart. One out of three registered customers actually checkout and pay for the items. Calculate the following (and show your work for partial credit!) a. Bounce rate b. Conversion rate c. Average monthly revenue, assuming AOV is $200.

The La Puerta Bank of Stockholm City has one outside drive-up teller. It takes the teller an average of 4 minutes to serve a bank customer. Customers arrive at the drive-up window at a rate of 12 per hour. The bank operations officer is currently analyzing the possibility of adding a second drive-up window, at an annual cost of Php 1,000,000. It is assumed that arriving cars would be equally divided between both windows. The operations officer estimates that each minute's reduction in customer waiting time would increase the bank's revenue by Php 100,000 annually. Should the second drive-up window be installed? Show computations that will prove your claim.

Please, I need correct answers and clear explanation. Thanks,

Indicate whether each of the following statements is true or false:

• a.

  Under the accrual basis of accounting, when cash is collected on accounts receivable, revenue is recorded.

• b.

  Cash receipts from customers are debited to Accounts Receivable.

• c.

  The cash basis of accounting recognizes expenses when they are incurred.

• d.

  Under the cash basis of accounting, there is no such thing as a Prepaid Expenses account.

• e.

  Asset accounts and expense accounts normally have debit balances.

• f.

  Credits increase asset accounts.

• g.

  Revenues are recorded with credit entries.

• h.

  Dividends are an expense of doing business and should appear on the statement of income.

Consider all observations as one sample of X (1st column) and Y (Second column) values. Answer the following questions:

a) Calculate the correlation coefficient r

b) Fit the regression model (prediting Y from X) and report the estimated intercept and slope

c) Test whether the slope equals 0. Report your hypothesis, test statistic, p-value

A question of medical importance is whether jogging leads to reduction in one’s pulse rate. To test this hypothesis, eight non-jogging volunteers have agreed to begin a one-month jogging program. At the end of the month their pulse rates were determined and compared with their earlier values. Subject 12345678 Pulse rate before program 74 86 98 102 78 84 79 70 Pulse rate after program 70 85 90 107 71 80 69 74

(a) State the hypotheses.

(b) Calculate the test statistic, state the degrees of freedom and approximate the p- value.

(c) Would you reject H0 or fail to reject H0 at 5% level of significance? (d) What do you conclude about the effect of jogging for one month on pulse rate?

A question of medical importance is whether jogging leads to reduction in one’s pulse rate. To test this hypothesis, eight non-jogging volunteers have agreed to begin a one-month jogging program. At the end of the month their pulse rates were determined and compared with their earlier values. Subject 12345678 Pulse rate before program 74 86 98 102 78 84 79 70 Pulse rate after program 70 85 90 107 71 80 69 74

(a) State the hypotheses.

(b) Calculate the test statistic, state the degrees of freedom and approximate the p- value.

(c) Would you reject H0 or fail to reject H0 at 5% level of significance? (d) What do you conclude about the effect of jogging for one month on pulse rate?

The data below show sport preference and age of participant from a random sample of members of a sports club. Test if sport preference is independent of age at the 0.02 significant level.

H₀: Sport preference is independent of age
Ha: Sport preference is dependent on age

a. Complete the table: Give all answers as decimals rounded to 4 places.

(b) What is the chi-square test-statistic for this data?

Three experiments investigating the relation between need for cognitive closure and persuasion were performed. Part of the study involved administering a "need for closure scale" to a group of students enrolled in an introductory psychology course. The "need for closure scale" has scores ranging from 101 to 201. For the 74 students in the highest quartile of the distribution, the mean score was x = 177.30. Assume a population standard deviation of σ = 7.61. These students were all classified as high on their need for closure. Assume that the 74 students represent a random sample of all students who are classified as high on their need for closure. Find a 95% confidence interval for the population mean score μ on the "need for closure scale" for all students with a high need for closure. (Round your answers to two decimal places.)

A study entitled "Antidepressant Medication and Breast Cancer Risk" (Amer. J. of Epi, late 1990's) stated in the methods section of the paper that "Cases were an age-stratified (< 50 and ≥ 50 years of age) random sample of women aged 25-74 years diagnosed with primary breast cancer during 1995 and 1996 (pathology report confirmed) and recorded in the population-based Ontario Cancer Registry. As the 1-year survival for breast cancer is 90%, surrogate respondents were not used. Population controls, aged 25-74 years, were randomly sampled from the property assessment rolls of the Ontario Ministry of Finance; this database includes all home owners and tenants and lists age, sex, and address."

Question: Discuss the authors' approach to the identification of cases with respect to the potential for selection bias.