Consider the following Data:

1. Calculate measures of central tendency and spread for coffee and tea.
2. Create Histograms and Box-Plots for both coffee and tea, displaying the number of years in each interval of consumption in L/person.
3. Create scatter plots for Coffee vs. Year and Tea vs. Year and Coffee vs. Tea.  
4. Create and record the lines of best fit for each and the correlation coefficient.

Automotive: The following table presents a portion of the annual returns for Fidelity's Select Automotive Fund (in percent). This mutual fund invests primarily in companies engaged in the manufacturing, marketing, or the sales of automobiles, trucks, specialty vehicles, parts, tires, and related services.

1.State the null and the alternative hypothesis in order to test whether the standard deviation is greater than 35%.

2.What assumption regarding the population is necessary to implement this step?

3. Calculate the value of the test statistics.

4. Find the p-value.

5.At a=0.05, what is your conclusion?

Customers and suppliers are the foundation of the data that will be processed in your accounting system. Identify and discuss at least three (3) things you can do to ensure that processing customer and supplier transactions are handled efficiently and effectively in QuickBooks. Justify your response. Briefly describe the difference between a supplier and a vendor.

An economist with a major bank wants to learn, quantitatively, how much spending on luxury goods and services can be explained based on consumers’ perception about the current state of the economy and what do they expect in the near future (6 months ahead).  Consumers, of all income and wealth classes, were surveyed.  Every year, 1500 consumers were interviewed.  The bank having all of the data from the 1500 consumers interviewed every year, computed the average level of consumer confidence (an index ranging from 0 to 100, 100 being absolutely optimistic) and computed the average dollar amount spent on luxuries annually.  Below is the data shown for the last 24 years.

Date                 X                     Y (in thousands of dollars)

1994                79.1                 55.6

1995                79                    54.8

1996                80.2                 55.4

1997                80.5                 55.9

1998                81.2                 56.4

1999                80.8                 57.3

2000                81.2                 57

2001                80.7                 57.5

2002                80.3                 56.9

2003                79.4                 55.8

2004                78.6                 56.1

2005                78.3                 55.7

2006                78.3                 55.7

2007                77.8                 55

2008                77.7                 54.4

2009                77.6                 54

2010                77.6                 56

2011                78.5                 56.7

2012                78.3                 56.3

2013                78.5                 57.2

2014                78.9                 57.8

2015                79.8                 58.7

2016                80.4                 59.3

2017                80.7                 59.9

Question:

1. Measure the strength of the linear association between consumers’ moods and the dollar amounts spent on luxury items.

Please Use R studio and show all the steps to answer this question

NY Marathon 2013 the table below shows the winning times (in minutes) for men and women in the new york city marathon between 1978 and 2013. (the race was not run in 2012 because of superstorm sandy.) assuming that performances in the big apple resemble performances elsewhere, we can think of these data as a sample of performance in marathon competitions. Create a 90% confidence interval for the mean difference in winning times for male and female marathon competitors.

Please Use R studio to answer this question

NY Marathon 2013 the table below shows the winning times (in minutes) for men and women in the new york city marathon between 1978 and 2013. (the race was not run in 2012 because of superstorm sandy.) assuming that performances in the big apple resemble performances elsewhere, we can think of these data as a sample of performance in marathon competitions. Create a 90% confidence interval for the mean difference in winning times for male and female marathon competitors.

Reconciliation from IFRS to GAAP

You are the CFO for Mills company (reporting using IFRS) and must reconcile your financial statements for the years ending 2008, 2009, and 2010 to U.S. GAAP (The Income Statement and Statement Stockholders’ Equity). Youhave identified the following 5 areas where there are differences between IFRS and U.S. GAAP at various dates.  Be sure to consider the cumulative effects of prior year transactions for each year.

Intangible Assets

As part of a business combination in January 2004, the company acquired a brand for $15,000,000.  The brand is classified as an intangible asset with a 15 year useful life.  At year-end 2008, the brand is determined to have a selling price of $8,000,000 with zero cost to sell.  Expected future cash flows from continued use of the brand are $13,000,000 (undiscounted) and the present value of future cash flows is 9,000,000

Research and Development Costs

The company incurred research and development costs of $2,000,000 in 2008.  Of this amount, 70% related to development activities subsequent to the point at which criteria had been met that an intangible asset existed.  The development costs were completed at the end of 2008 and will be amortized over 10 years beginning 2009.

Property Plant and Equipment

On January 1, 2009 a building that had an original cost of $20,000,000 and (Purchase date January 1 2001) and was being depreciated over 20 years was determined to have a fair value of $15,000,000.   The company uses the revaluation model for such assets.

Sale Leaseback

On January 1, 2006 the company realized a gain on a sales leaseback of $6,000,000.  The term of the lease (starting the date of the sale) is 15 years.

Twenty-one mature flowers of a particular species were dissected, and the number of stamens and carpels present in each flower were counted.

(a) Is there sufficient evidence to claim a linear relationship between these two variables at α = .05?
(i) Find r. (Give your answer correct to three decimal places.)

(iii) State the appropriate conclusion.

Reject the null hypothesis, there is not significant evidence to claim a linear relationship. Reject the null hypothesis, there is significant evidence to claim a linear relationship.     Fail to reject the null hypothesis, there is significant evidence to claim a linear relationship. Fail to reject the null hypothesis, there is not significant evidence to claim a linear relationship.

(b) What is the relationship between the number of stamens and the number of carpels in this variety of flower?. (Give your answers correct to two decimal places.)

(c) Is the slope of the regression line significant at α = .05?(i) Find t. (Give your answer correct to two decimal places.)


(ii) Find the P-value. (Give your answer bounds exactly.)
< p <
(iii) State the appropriate conclusion.

Reject the null hypothesis, there is not evidence of a significant slope. Reject the null hypothesis, there is evidence of a significant slope.     Fail to reject the null hypothesis, there is evidence of a significant slope. Fail to reject the null hypothesis, there is not evidence of a significant slope

The Mallory Corporation

On December 31, 2006, the Mallory Corporation had the following activity in its fixed assets record.