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 30 63 78 69 240 50 or older 40 64 72 84 260

In the chapter assigned for this module, the book addressed several catastrophic geologic events: Krakatoa eruptions of 1883 and 1979, Eruption of Mt. Vesuvius in A.D. 79, Hurricane Katrina in 2005, and Indian Ocean Tsunami in 2004. Research another catastrophic geologic event (a volcanic eruption, a large earthquake, a big landslide, etc), and describe it using 10-15 sentences. Be sure you differentiate what makes the event you selected unique and special. Spelling and grammar also count!

Assume that Ali Services company bills its clients for jobs completed during the month. On October 31, 2004, Ali Services company billed its clients $450,000 for products sold during October. During November, Ali Services company collected 20 percent of its sales billed on October 31. the cost price this products was $200,000 which is paid 80 percent in cash. What would be recorded by Ali Services company under the cash basis?

Essay on Stock Compensation. Note: you do not need to answer in complete sentences; short phrases are okay

1. What accounting standard in 2004 caused stock options to decline as the primary source of non-cash compensation? Why?

2. Does compensation expense from stock options meet the definition of an expense as discussed in SFAC 6? Why?

3. Do you think compensation expense from stock options should be recognized as an expense? Choose one position, and support it.

On 2002/4/1, Peter borrowed $2000, agreeing to pay interest at 6%/year compounded monthly. He paid $400 on 2004/9/1 and $500 on 2008/11/1. He will make two more payments on 2011/10/01 and 2013/7/01, with the payment on 2011/10/01 being 20% higher than that on 2013/7/01. What payment will he make on 2013/7/01? Remark: Dates are given in the format YYYY/MM/DD.

In a study of Marfan syndrome, Pyeritz et al.(A-34) reported the following severity scores of
patients
with no, mild, and marked dural ectasia. May we conclude, on the basis of these data, that mean
severity
scores differ among the three populations represented in the study? Let a ¼ :05 and find the p
value. Use Tukey’s procedure to test for significant differences among individual pairs of sample
means.
No dural ectasia: 18, 18, 20, 21, 23, 23, 24, 26, 26, 27, 28, 29, 29, 29, 30, 30, 30,
30, 32, 34, 34, 38
Mild dural ectasia: 10, 16, 22, 22, 23, 26, 28, 28, 28, 29, 29, 30, 31, 32, 32, 33, 33,
38, 39, 40, 47
Marked dural ectasia: 17, 24, 26, 27, 29, 30, 30, 33, 34, 35, 35, 36, 39
Source: DSPSS printouts should be included ata provided courtesy of Reed E. Pyeritz, M.D., Ph.D.

Exercise 11.55 describes a study conducted by Busseri and colleagues (2009) using a group of pessimists. These researchers asked the same question of a group of optimist: optimist rated their past, present, and projected future satisfaction with their lives. Higher scores on the life satisfaction measure indicate higher satisfaction. The data below reproduce the pattern of means that the researchers observed in self-reported life satisfaction of the sample of optimists for the three time points. Do optimists see a rosy future ahead? Persons 1 2 3 4 5 Past 22 23 25 24 26 Present 25 26 27 28 29 Future 24 27 26 28 29 Perform steps 5 and 6 of hypothesis testing. Be sure to complete the source table when calculating the F ratio for step 5. If appropriate, calculate the Tukey HSD for all possible mean comparison. Find the critical value of q and make a decision regarding the null hypothesis for each of the mean comparison. Calculate the R2 measure of effect size for this ANOVA.

The data below is the mileage (thousands of miles) and age of your cars .

Year Miles Age

2017    8.5    1

2009 100.3    9

2014   32.7    4

2004 125.0   14

2003 115.0   15

2011   85.5    7

2012   23.1    6

2012   45.0    6

2004 123.0   14

2013   51.2    5

2013 116.0    5

2009 110.0    9

2003 143.0   15

2017   12.0    1

2005 180.0   13

2008 270.0   10

Please include appropriate Minitab Results when important

a. Identify terms in the simple linear regression population model in this context.

b. Obtain a scatter diagram for the sample data. Interpret the scatter diagram.

c. Obtain a scatter diagram with the least squares regression line included. Interpret the intercept and slope in the context of this problem.

d. In theory what ought to be the value of the population model intercept? Explain.

e. What is the informal prediction for what the mileage should be on your car? What is the error in the prediction of the mileage for your car?

f .Use some statistical reasoning to assess whether or not the prediction for the mileage on your car was “accurate”?

g. How would you respond if someone asks “about” how many miles do students drive per year?

The data below is the mileage (thousands of miles) and age of your cars as sample.

Year Miles Age

2017    8.5    1

2009 100.3    9

2014   32.7    4

2004 125.0   14

2003 115.0   15

2011   85.5    7

2012   23.1    6

2012   45.0    6

2004 123.0   14

2013   51.2    5

2013 116.0    5

2009 110.0    9

2003 143.0   15

2017   12.0    1

2005 180.0   13

2008 270.0   10

Please include appropriate Minitab Results when important

a. Identify terms in the simple linear regression population model in this context.

b. Obtain a scatter diagram for the sample data. Interpret the scatter diagram.

c. Obtain a scatter diagram with the least squares regression line included. Interpret the intercept and slope in the context of this problem.

d. In theory what ought to be the value of the population model intercept? Explain.

e. What is the informal prediction for what the mileage should be on your car? What is the error in the prediction of the mileage for your car?

f. Use some statistical reasoning to assess whether or not the prediction for the mileage on your car was “accurate”?

g. How would you respond if someone asks “about” how many miles do students drive per year?