Expertise in statistical sampling methods

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Statistical training. The accounting firm described in Exercise 30 is interested in providing opportunities for its auditors to gain more expertise in statistical sampling methods. They wish to compare traditional classroom in- struction with online self-paced tutorials. Auditors were as- signed at random to one type of instruction, and the auditors were then given an exam. The table shows how the two groups performed. What do you conclude? (Assume the assumptions for inference are met.)

Program

n

Mean

SD

TraditionalOnline

296

275

74.5

72.9

11.2

12.3

Reference no: EM131008593

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Prepare any journal entry necessary to correct the error : Prepare any journal entry necessary to correct the error as well as any adjusting entry for 2011 related to the situation described. (Ignore income taxes.)
The effect of each error on the income statement : What would be the effect of each error on the income statement and the balance sheet in the 2010 financial statements?
Assume that the error is not discovered : Assume that the error is not discovered until 2012 and that a periodic inventory system is used. Ignore income taxes.
Find the rate of change of f at the given point : Find the rate of change of f at the point (1, π/6) in the direction (4, - 3). Find the vector u that maximises Duf (1, pi/6) and find the value of Duf (1, pi/6) for that u.
Expertise in statistical sampling methods : Statistical training. The accounting firm described in Exercise 30 is interested in providing opportunities for its auditors to gain more expertise in statistical sampling methods.
Hot dogs and calories-hot dogs and sodium : The Consumer Reports article de- scribed in Exercise 25 also listed the sodium content (in mg) for the various hot dogs tested. A test of the null hypothesis that beef hot dogs and meat hot dogs don't differ in the mean amounts of sodium yields a ..
Change from the percentage of completion method by a company : Change from the percentage-of-completion method by a company in the long-term construction industry.
Standard error of the mean difference : a) What is the standard error of the mean difference? b) How many degrees of freedom does the t-statistic have? c) What is the 90% confidence interval for the mean dif- ference? d) What do you conclude at a = 0.05?
Compute the mean difference : a) Are the data paired? Explain. b) Compute the mean difference. c) Compute the standard deviation of the differences. d) Compute the standard error of the mean difference.

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