You wish to determine whether consumers have made substantial progress in reducing their credit card debt? Based on a sample of 1000 consumers in September 2001, and another sample of 1000 customers in September 2006, the average credit card debt 2711 in 2001 as compared to 2814 in 2006. The standard deviation of each sample was approximately 976. Using a level of significance of 0.1,

a. What are the null and alternative hypothesis? (How do yo know)

b. What is the critical value? (Explain and show work)

c. Which minitab output is appropriate for this problem? (How do you know)

d. What is your managerial conclusion? (why)

On December 31, 2013, the Mallory Corporation had the following activity in its fixed assets

record. Assume all assets were purchased on January 1.

REQUIRED:

· Compute the depletion, amortization, and depreciation expense on December 31, 2013 for each asset listed above.

· Record the entries for the assets above

· Suppose that we sold machine 2 for $50,000, record the entry

· Suppose that the building life increased from 25 years to 30 years, revise the depreciation and prepare the entry.

· Suppose that the corporation spent $20,000 in 2013 to defend the patent.  Record the entry.

3: Access Inc. is in operation from last 8 years, and have a balance of $640,000 in the machinery account as at Jan 01, 2000. the remaning life of this machinery is 7 years and had a salvage value of 63000. On August 01, 2000, the Company made additions to the machinery a/c of $98,000. The machinery is expected to produce a total of 200,000 units. The machinery was used in the production in the following manner:

Year Production

2000 13,400

2001 34,200

2002 38,400

2003 39,100

2004 31,900

2005 28,060

2006 14,940

There was another addition to the machineries for $126,000 on Jan 01, 2002. The useful life of the asset is 9 years and it can realize $13,400 at the end of 9 years. On Jan 01, 2006, the company reassessed the useful life of this machiney to be 11 years, while the salvage value remained the same.

On Oct 01, 2005, the company bought an equipemt, which was expected to be used a total of 46,000 machine hours (MH) The equipment was used as per the below mentioned schedule:

2005 $ 1,730

2006 $ 4,200

2007 $ 3,100

2008 $ 4,600

2009 $ 5,900

2010 $ 7,070

At the end of 2010, the company assessed that its original estimation was wrong and the equipment is expected to work only 12,000 more machine hours. During 2011, the equipment was used for 4,800MH, 2012 5,300MH, and rest of the hours were used in 2013.

Prepared a schedule of the machinery and equipment account together.

Show your working notes properly.

Hint: For presentation purpose, you can give numbering to the machinese,

Company A collected layaway payments from customers and reported revenue as the customers made each payment (as cash was received). Company B recorded no revenue until the full purchase price had been paid and the customer took possession of the merchandise. Assume both companies had $50,000 owed by customers for layaways, which was payable in equal monthly payments over a 8 month period from September of Year 1 through April of Year 2 at a total of $6,250 per month.

Determine the amount that will be reported for each of the financial statement items listed below under the two layaway revenue recognition policies for Year 1 and Year 2:

a) Revenue

b) Cash flow from operations

c) Total liabilities

The annual maximum flow data for two different periods of record for Genesee River at Rochester, NY, are given below. Determine whether there is homogeneity in the sequence of data of two periods, at the 2.5% level of significance.

Question 1:

The response time in milliseconds was determined for three different types of circuits in an electronic calculator. The results are recorded here.

1. Using α = 0.05, test the hypothesis that the three circuit types have the same response time. What is the p-value?
2. Analyze the residuals from this experiment.
3. If there is a significant difference, perform a Tukey test.

Question 2:

An article in Environmental International describes an experiment in which the amount of radon released in showers was investigated. Radon-enriched water was used in the experiment, and six different orifice diameters were tested in showerheads. The data from the experiment are shown in the following table.

1. Does the size of the orifice affect the mean percentage of radon released? What is the p-value? Use α = 0.05.
2. Analyze the residuals from this experiment.
3. If there is a significant difference, perform a Tukey test.

Question 3:

In “Orthogonal Design for Process Optimization and Its Application to Plasma Etching”, an experiment is described to determine the effect of flow rate on the uniformity of the etch on a silicon wafer used in integrated circuit manufacturing. Three flow rates are used in the experiment, and the resulting uniformity (in percent) for six replicates is shown below.

1. Does flow rate affect etch uniformity? Use α = 0.05.
2. Do the residuals indicate any problems with the underlying assumptions?
3. Use the Kruskal-Wallis procedure with α = 0.05 to test for differences between mean uniformity at the three different flow rates.

Question 4:

Suppose that five normal populations have common variance σ² = 100 and means μ₁ = 175, μ₂ = 190, μ₃ = 160, μ₄ = 200, and μ₅ = 215. How many observations per population must be taken so that the probability of rejecting the hypothesis of equality of means is at least 0.95? Use α = 0.05.

Name the five major events that happened between 2001-2004 that affected the demand in the lodging industry. How did they affect demand?

1. The General Social Survey polled a sample of 209 people aged 18-30 in the year 2000, asking them how many hours per week they spend on the internet. The sample mean was 6.75 with a standard deviation of 7.7 A second sample of 541 people aged 18-30 was taken in 2006. For this sample, the mean was 7.34 and standard deviation of 10.93. Assume these are simple random samples from populations of people aged 18-30. Can you conclude that the mean number of hours per week spent on the internet increased between 2000 and 2006?

1. Do the hypothesis test with α=0.05 significance level.

2. Construct a 95% confidence interval for the difference in mean number of hours spend per week on the Internet between 2000 and 2006.

3. Calculate the Margin of Error for 95% confidence level.

1) All of the following are “red flags” when analyzing the quality of a company’s earnings except for:

2) What of the following data are important when analyzing a company?

(1) Income statement

(2) Balance sheet

(3) Statement of cash flows

(4) Footnotes to the financial statements

3) The ABC Corporation achieved annual net profit margins of 3.5% in 2005, 3.75% in 2006, and 4.2% in 2007. Which of the following statements is incorrect?