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.

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?

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?

Exercise 11-12

In 1993, Nash Company completed the construction of a building at a cost of $2,040,000 and first occupied it in January 1994. It was estimated that the building will have a useful life of 40 years and a salvage value of $59,200 at the end of that time.

Early in 2004, an addition to the building was constructed at a cost of $510,000. At that time, it was estimated that the remaining life of the building would be, as originally estimated, an additional 30 years, and that the addition would have a life of 30 years and a salvage value of $20,400.

In 2022, it is determined that the probable life of the building and addition will extend to the end of 2053, or 20 years beyond the original estimate.

A.) Using the straight-line method, compute the annual depreciation that would have been charged from 1994 through 2003.(Per year)

B.) Compute the annual depreciation that would have been charged from 2004 through 2022. (Per year)

C.) Prepare the entry, if necessary, to adjust the account balances because of the revision of the estimated life in 2021. (If no entry is required, select "No entry" for the account titles and enter 0 for the amounts. Credit account titles are automatically indented when amount is entered. Do not indent manually.)

D.) Compute the annual depreciation to be charged, beginning with 2022. (Round answer to 0 decimal places, e.g. 45,892.)

A firm’s corporate strategy is driven largely by its top management team. One method of gauging the influence of marketing on corporate strategy is to measure the proportion of firms with a chief marketing officer on their top management team. Over the 5-year period from 2000 to 2004, 42% of firms had a chief marketing officer on their top management team. [Source: Pravin Nath and Vijay Mahajan, “Chief Marketing Officers: A Study of Their Presence in Firms’ Top Management Teams,” Journal of Marketing, 70 (2007).] To test the hypothesis that the influence of marketing on corporate strategy today is different from its influence in the 2000–2004 period, a random sample of 91 U.S. firms is selected. Of these, 26 firms have a chief marketing officer on their top management team. The test is conducted at a significance level of α = 0.01. Let p be the true proportion of firms with a chief marketing officer currently on their top management team.

To conduct the hypothesis test, the null and alternative hypotheses are formulated as: A. H₀: p ≥ 0.42; Ha: p < 0.42 B. H₀: p̄ = 0.42'; Ha: p̄ ≠ 0.42 C. H₀: p = 0.42; Ha: p ≠ 0.42 D. H₀: p ≤ 0.42; Ha: p > 0.42 If the null hypothesis is true, the sampling distribution of the sample proportion p̄ can be approximated by ____ with a mean of ____ and a standard deviation of ___ . The test statistic is ____. Use the Distributions tool to develop the rejection region. According to the critical value approach (with α = 0.01), when do you reject the null hypothesis? Reject H₀ if t ≤ –2.632 or if t ≥ 2.632 Reject H₀ if z ≤ –2.576 Reject H₀ if z ≤ –2.576 or if z ≥ 2.576 Reject H₀ if z ≤ –2.326 or if z ≥ 2.326 Use the provided Distributions tool to determine the p-value. The p-value is ____. Using the critical value approach, the null hypothesis is (not rejected/rejected), because ___. Using the p value approach, the null hypothesis is (not rejected/rejected), because ____. Therefor you (can/cannot) conclude that the influence of marketing on corporate strategy today is different from its influence in the 2000–2004 period.