Apple Computer CEO Steve Jobs announced he was taking a leave of absence for health reasons. Jobs has been fighting cancer and also recently underwent a liver transplant. Even though the computer giant is in good hands with Chief Operating Officer Tom Cook taking over the stock price fell by​ US$6.40, or nearly two​ percent, on the news.

Jobs is widely known as a visionary and a micromanager. Under his leadership Apple has transformed the computing industry. While​ Jobs' health outlook is unknown many investors are betting on his recovery and return. Those who bought Apple stock when Jobs stepped down in 2004 for health reasons made a nice profit when he returned to the helm.

   Question

“When a financial manager makes good or bad financial decisions the impact of these decisions will be reflected in the​ company's Stock price”. Do you agree with the decision taken in the above case?

What decisions you will take to improve the stock price of Apple Computers in this situation?

Use the following information to answer the questions. A more recent study of Feline High-Rise Syndrome (FHRS) included data on the month in which each of 119 cats fell ( Vnuk et al. 2004) The data are in the accompanying table. Can we infer that the rate of cat falling varies between months of the year?

Month Number fallen

January 4

February 6

March 8

April 10

May 9

June 14

July 19

August 13

September 12

October 12

November 7

December 5

1. Assume a catfall is equally likely to occur in each month and carry out a suitable test.

2. Assume a catfall is equally likely to occur on each day and carry out a suitable test. Use a calendar for a non-leap year to obtain the needed probabilities.

3. Which method out of (a) and (b) would be best to use, if it were reasonable to assume that a cat could fall at any moment? Explain, briefly.

A study has been conducted on the rate of depression and
their relation to demographic features such as age, race, gender,
etc. The survey was administered to 155 patients and it was found
women are more likely to be depressed compared to men (Data
extracted from: Gottlieb SS, Khatta M, Friedmann E, et al. The influence
of age, gender, and race on the prevalence of depression in
heart failure patients. J Am Coll Cardiol. 2004; 43(9):1542-1549.
doi:10.1016/j.jacc.2003.10.064.). The following data related to the
depression and the gender has been imported from the study:

Depressed Not Depressed Total
Men 54 68 122
Women 21   12 33
Total 75   80 155

a. Set up the null and alternative hypotheses to determine whether
there is a difference in the depression levels of men and women.
b. At 0.05 significance level, compute x2 STAT. Is there any evidence
of a significant difference between the proportion of men
and women and their depression levels?
c. Determine the p-value in (a) and interpret its meaning.

Use the following information to answer the questions. A more recent study of Feline High-Rise Syndrome (FHRS) included data on the month in which each of 119 cats fell ( Vnuk et al. 2004) The data are in the accompanying table. Can we infer that the rate of cat falling varies between months of the year?

Month Number fallen

January 4

February 6

March 8

April 10

May 9

June 14

July 19

August 13

September 12

October 12

November 7

December 5

1. Assume a catfall is equally likely to occur in each month and carry out a suitable test.

2. Assume a catfall is equally likely to occur on each day and carry out a suitable test. Use a calendar for a non-leap year to obtain the needed probabilities.

3. Which method out of (1.) and (2.) would be best to use, if it were reasonable to assume that a cat could fall at any moment? Explain, briefly.

Sachs Brands defined benefit pension plan specifies annual retirement benefits equal to: 1.3% x service years x final year's salary, payable at the end of each year. Angela Davenport was hired by Sachs at the beginning of 2004 and is expected to retire at the end of 2038 after 35 years' service. Her retirement is expected to span 18 years. Davenport's salary is $96,000 at the end of 2018 and the company's actuary projects her salary to be $310,000 at retirement. The actuary's discount rate is 6%.

Required:

2) estimate by the projected benefits approach the amount of Davenport's annual retirement payments earned as of the end of 2018. (I got 60,450 which was correct)

3) What is the company's projected benefit obligation at the end of 2018 with respect to Davenport? (I got 204,082 which was correct)

4) If not estimates are changed in the meantime, what will be the company's projected benefit obligation at the end of 2021 (three years later) with respect to Davenport? I NEED THIS ANSWER

The data below are yields for two different types of corn seed that were used on adjacent plots of land. Assume that the data are simple random samples and that the differences have a distribution that is approximately normal. Construct a​ 95% confidence interval estimate of the difference between type 1 and type 2 yields. What does the confidence interval suggest about farmer​ Joe's claim that type 1 seed is better than type 2​ seed? Type 1, 2098 1931 2053 2415 2207 2004 2221 1592 Type 2, 2065 1962 2061 2448 2145 1969 2146 1491 In this​ example, mu d is the mean value of the differences d for the population of all pairs of​ data, where each individual difference d is defined as the type 1 seed yield minus the type 2 seed yield. The​ 95% confidence interval is nothingless thanmu Subscript dless than nothing. ​(Round to two decimal places as​ needed.)

Roy Reds Ltd is a Manufacturing Company.The Following Ledger account balances were extracted from the books of the company for the year ended December 31,2004

stocks as at January1,2004:

Raw materials$40000,Partly manufactured good (WIP) $50000,Finished Goods $37000

Stocks as at December 31,2004:

Raw Materials $30000,Partly Manufactured goods (WIP) $60000 Finished Goods $45000

Other balances:

Purchases of raw materials$136000,freight and carriage on raw materials $5000,production workers salary $170000,Rent and Rates$8000,Gas and Fuel $15000,office workers pay $20000,Depreciation of productive machinery and plant $10000,sales $550000

Notes:

Rent and rates,gas and fuel must be apportioned 60% to factory and 40% to office.

Required:

Prepare the Manufacturing,Trading and Profit and loss Accounts for the period ending 31December 2004(clearly indicate the following in your answer)

1 Prime Cost

2 Factory Overheads

3 Cost of Production

4 Gross Profit

5 Net Profit

The National Sleep Foundation used a survey to determine whether hours of sleeping per night are independent of age (Newsweek, January 19, 2004). The following show the hours of sleep on weeknights for a sample of individuals age 49 and younger and for a sample of individuals age 50 and older.

Conduct a test of independence to determine whether the hours of sleep on weeknights are independent of age. Use  = .05. Use Table 12.4.

Compute the value of the X2 (Chi2) test statistic (to 2 decimals).????

b) Using the total sample of 500, estimate the percentage of people who sleep less than 6, 6 to 6.9, 7 to 7.9, and 8 or more hours on weeknights (to 1 decimal).

The National Sleep Foundation used a survey to determine whether hours of sleeping per night are independent of age (Newsweek, January 19, 2004). The following show the hours of sleep on weeknights for a sample of individuals age 49 and younger and for a sample of individuals age 50 and older. Hours of Sleep Age Fewer than 6 6 to 6.9 7 to 7.9 8 or more Total 49 or younger 37 58 71 74 240 50 or older 34 60 79 87 260

a.Conduct a test of independence to determine whether the hours of sleep on weeknights are independent of age. Use = .05.

Compute the value of the 2 test statistic (to 2 decimals).

b.Using the total sample of 500, estimate the percentage of people who sleep less than 6, 6 to 6.9, 7 to 7.9, and 8 or more hours on weeknights (to 1 decimal).

Less than 6 hours %

6 to 6.9 hours %

7 to 7.9 hours %

8 or more hours %