Trading volume on the New York Stock Exchange is heaviest during the first half hour (early morning) and last half hour (late afternoon) of the trading day. The early morning trading volumes (millions of shares) for 19 days in January and February are shown here (Barron's, January 23, 2006; February 13, 2006; and February 27, 2006)

Trading Volume (millions of shares) 220 198 188 176 182 201 262 168 270 201 216 207 199 190 211 179 197 213 187

The probability distribution of trading volume is approximately normal.

a. Compute the mean and standard deviation to use as estimates of the population mean and standard deviation.

b. What is the probability that, on a randomly selected day, the early morning trading volume will be less than 195 million shares?

c. What is the probability that, on a randomly selected day, the early morning trading volume will exceed 230 million shares?

d. How many shares would have to be traded for the early morning trading volume on a particular day to be among the busiest 5% of days?

26. Uncertainty surrounding stock price: Assume that your publicly traded company attempts to be completely transparent about its financial condition, and provides through information about its debt, sales, and earnings every quarter. Explain why there still may be much uncertainty surrounding your company's stock price.

Coca-Cola Revenues ($ millions), 2005–2010 Quarter 2005 2006 2007 2008 2009 2010

Qtr1 5,206 5,131 6,090 7,410 7,180 7,516

Qtr2 6,310 6,480 7,720 9,060 8,232 8,665

Qtr3 6,037 6,422 7,677 8,314 8,040 8,417

Qtr4 5,551 5,920 7,318 7,100 7,498 10,485

Click here for the Excel Data File (a-1) Use MegaStat or Minitab to deseasonalize Coca-Cola’s quarterly data.

(Round your answers to 3 decimal places.)

1 2 3 4 2005 2006 2007 2008 2009 2010 mean

(a-2) State the adjusted four quarterly indexes. (Round your answers to 3 decimal places.)

Q1 Q2 Q3 Q4 (a-3) What is the trend model for the deseasonalized time series? (Round your answers to 2 decimal places.)

yt = xt + (b) State the model found when performing a regression using seasonal binaries. (A negative value should be indicated by a minus sign. Round your answers to 4 decimal places.) yt = + t + Q1 + Q2 + Q3

(c) Use the regression equation to make a prediction for each quarter in 2011. (Enter your answers in millions rounded to 3 decimal places.) Quarter Predicted Q1 Q2 Q3 Q4

The general fund budget (in billions of dollars) for a U.S. state for 1988 (period 1) to 2011 (period 24) follows.

(b)Develop a linear trend equation for this time series to forecast the budget (in billions of dollars). (Round your numerical values to three decimal places.)

T_t = ____?______

(c)What is the forecast (in billions of dollars) for period 25? (Round your answer to two decimal places.)

$___?_____ billion

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?

Question 1 (a):

Questions 1 (b):

Discuss critically the Conditions for a parent entity to be exempt from consolidation [IFRS 10.4]

In Unit 2, you have learned about three different types of distributions: Normal, binomial, and Poisson. You can take data that you collect and plot it out onto graphs to see a visual representation of the data. By simply looking at data on a graph, you can tell a lot about how related your observed data are and if they fit into a normal distribution.

For this submission, you will be given a series of scenarios and small collections of data. You should plot the data or calculate probabilities using excel. Then, you will create your own real or hypothetical scenario to graph and explain.

Answer the following:

• The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, which represent the observed mean temperature in Boston over the last 20 years:

  1998	72
  1999	69
  2000	78
  2001	70
  2002	67
  2003	74
  2004	73
  2005	65
  2006	77
  2007	71
  2008	75
  2009	68
  2010	72
  2011	77
  2012	65
  2013	79
  2014	77
  2015	78
  2016	72
  2017	74

  1. Is this a normal distribution? Explain your reasoning.
  2. What is an outlier? Are there any outliers in this distribution? Explain your reasoning fully.
  3. Using the above data, what is the probability that the mean will be over 76 in any given July?
  4. Using the above data, what is the probability that the mean will be over 80 in any given July?
     
• A heatwave is defined as 3 or more days in a row with a high temperature over 90 degrees Fahrenheit. Given the following high temperatures recorded over a period of 20 days, what is the probability that there will be a heatwave in the next 10 days?

  Day 1	93
  Day 2	88
  Day 3	91
  Day 4	86
  Day 5	92
  Day 6	91
  Day 7	90
  Day 8	88
  Day 9	85
  Day 10	91
  Day 11	84
  Day 12	86
  Day 13	85
  Day 14	90
  Day 15	92
  Day 16	89
  Day 17	88
  Day 18	90
  Day 19	88
  Day 20	90

Customer surveys reveal that 40% of customers purchase products online versus in the physical store location. Suppose that this business makes 12 sales in a given day

1. Does this situation fit the parameters for a binomial distribution? Explain why or why not?
2. Find the probability of the 12 sales on a given day exactly 4 are made online
3. Find the probability of the 12 sales fewer than 6 are made online
4. Find the probability of the 12 sales more than 8 are made online

Your own example:

• Choose a company that you have recently seen in the news because it is having some sort of problem or scandal, and complete the following:
  • Discuss the situation, and describe how the company could use distributions and probability statistics to learn more about how the scandal could affect its business.
  • If you were a business analyst for the company, what research would you want to do, and what kind of data would you want to collect to create a distribution?
  • Would this be a standard, binomial, or Poisson distribution? Why?
  • List and discuss at least 3 questions that you would want to create probabilities for (e.g., What is the chance that the company loses 10% of its customers in the next year?).
  • What would you hope to learn from calculating these probabilities?
  • Assuming that upper management does not see the value in expending the time and money necessary to collect data to analyze, make an argument (at least 100 words) convincing them that the expenditure is necessary and explaining some dangers the company could face by not knowing what the data predict.

In Unit 2, you have learned about three different types of distributions: Normal, binomial, and Poisson. You can take data that you collect and plot it out onto graphs to see a visual representation of the data. By simply looking at data on a graph, you can tell a lot about how related your observed data are and if they fit into a normal distribution.

For this submission, you will be given a series of scenarios and small collections of data. You should plot the data or calculate probabilities using excel. Then, you will create your own real or hypothetical scenario to graph and explain.

Answer the following:

• The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, which represent the observed mean temperature in Boston over the last 20 years:

  1998	72
  1999	69
  2000	78
  2001	70
  2002	67
  2003	74
  2004	73
  2005	65
  2006	77
  2007	71
  2008	75
  2009	68
  2010	72
  2011	77
  2012	65
  2013	79
  2014	77
  2015	78
  2016	72
  2017	74

  1. Is this a normal distribution? Explain your reasoning.
  2. What is an outlier? Are there any outliers in this distribution? Explain your reasoning fully.
  3. Using the above data, what is the probability that the mean will be over 76 in any given July?
  4. Using the above data, what is the probability that the mean will be over 80 in any given July?
     
• A heatwave is defined as 3 or more days in a row with a high temperature over 90 degrees Fahrenheit. Given the following high temperatures recorded over a period of 20 days, what is the probability that there will be a heatwave in the next 10 days?

  Day 1	93
  Day 2	88
  Day 3	91
  Day 4	86
  Day 5	92
  Day 6	91
  Day 7	90
  Day 8	88
  Day 9	85
  Day 10	91
  Day 11	84
  Day 12	86
  Day 13	85
  Day 14	90
  Day 15	92
  Day 16	89
  Day 17	88
  Day 18	90
  Day 19	88
  Day 20	90

Customer surveys reveal that 40% of customers purchase products online versus in the physical store location. Suppose that this business makes 12 sales in a given day

1. Does this situation fit the parameters for a binomial distribution? Explain why or why not?
2. Find the probability of the 12 sales on a given day exactly 4 are made online
3. Find the probability of the 12 sales fewer than 6 are made online
4. Find the probability of the 12 sales more than 8 are made online

Your own example:

• Choose a company that you have recently seen in the news because it is having some sort of problem or scandal, and complete the following:
  • Discuss the situation, and describe how the company could use distributions and probability statistics to learn more about how the scandal could affect its business.
  • If you were a business analyst for the company, what research would you want to do, and what kind of data would you want to collect to create a distribution?
  • Would this be a standard, binomial, or Poisson distribution? Why?
  • List and discuss at least 3 questions that you would want to create probabilities for (e.g., What is the chance that the company loses 10% of its customers in the next year?).
  • What would you hope to learn from calculating these probabilities?
  • Assuming that upper management does not see the value in expending the time and money necessary to collect data to analyze, make an argument (at least 100 words) convincing them that the expenditure is necessary and explaining some dangers the company could face by not knowing what the data predict.

Discuss the advantage as well as limits of ratio analysis for publicly traded corporations.
Please answer in 5-7 sentences.

Select Amazon a publicly traded company that primarily sells tangible products. So, typically this would exclude banks, please consult the questions below and answer them accordingly. . Obtain electronic copies of the Annual Reports for the last two years. 10. What price is the share trading at on the date that you were conducting this research? Please note the date as well. (3pts)11. What was the highest price that the share traded at over the last 52 weeks? (3pts)12. What was the lowest price that the share traded at over the last 52 weeks? (3pts)13. Provide a brief explanation for the 52 week high price and 52 week low price of the company. In other words, why did the company’s stock price go up and come down or vice versa? (6 pts)