What could be some examples a clothing business could use forecasting in the following categories: -Technological forecasts-rates of technological change

-economic forecasts-predicting changes of business cycles

-business forecasts-predicting demand

Thank you in advance!

In a narrative format, discuss Wal-Mart from a strategic perspective. Discuss Wal-Mart’s strengths and weaknesses? Information concerning recent changes in the firms is readily available online and should be accessed. Strategic issues should be discussed in “real time.

This is a study on minimum wage and poverty thresholds.  I have included the procedure for one year, 2009, below.  You will calculate all variables for all years 1968 – 2013.  You will have three graphs.  Check the attached excel data sheet to see what info. you already have.  You will need to calculate a few variables for each year.  Use the excel data sheet to do quick and easy cut and paste formulas.  If you need help, or are hyperventilating now, just drop me a line or come by the office.     JB

Step 1. Start off by using the 2009 and 2010 data.  You have this data on the excel data sheet:

1. Minimum wage/Nominal minimum wage (NMW)
2. Consumer Price Index (CPI) Use CPI-U for Urban Consumer, annual average
3. Poverty level income threshold for a household of 2 (H2)
4. Poverty level income threshold for a household of 4 (H4)

(NMW, H2 and H4 are nominal variables)

5. You must calculate this one.  CPI in hundredths = CPI/100. Divide all nominal values by CPI in hundredths to convert nominal values to real values.

Step 2. Convert nominal minimum wage (NMW) to real minimum wage (RMW).  

Minimum wage (NMW) from data source in 2009 = $______, the CPI for 2009 = ______

Formula 1:  RMW= NMW/CPI in hundredths

                                _____________ for 2009

Step 3. Calculate yearly percent change in RMW (PP). % chg PP represents annual percent change in purchasing power.

Formula 2: % chg PP from 2009 to 2010:

= (RMW in 2010–RMW in 2009)/RMW in 2009) x 100, = _____________________; an       (increase or decrease) in purchasing power.

Step 4. Calculate the yearly percentage change in the CPI (INFLT). INFLT represents annual percent change in inflation.

Formula 3: INFLT from 2009 to 2010:

                      = (CPI₂₀₁₀ – CPI₂₀₀₉/ CPI₂₀₀₉ x 100;       

                      = (CPIY₂₀₁₁ – CPI₂₀₁₀)/ CPI₂₀₁₀ x 100;     

                        = __________________, an (increase or decrease) in inflation from 2009 to 2010

Step 5. Graph 1. For every year, graph % chg in PP and Inflation (INFLT) on the same graph. Title of graph should be Trend in Purchasing Power and Inflation for Selected Years    

Step 6. Calculate real annual income 1(INC1):  RMW x 40 hours per week x 50 weeks per year.

Formula 4:    INC1 for 2009 = ______________, H2 =________ , this is a nominal value

Formula 5:   Convert to real value (RH2) = h2/CPI (2009) in hundredths = _______________

Calculate the elasticity for the following questions (USING THE MIDPOINT (AVERAGE) FORMULA) and indicate if the goods are: 1. Inferior, 2. Normal, 3. Complements, or 4. Substitutes (Please Include The Negative signs in your answers where appropriate) A. The price of gasoline increases from 12 per barrel to 28 per barrel and as a result, the demand per month for new cars changes from 600 to 200. Part 1: The elasticity is -0.5 Part 2: These goods are (answer using numbers, 1-4) 3 B. As a result of a change in income from 1,275 to 1,875 per month, the consumption of good X changes from 380 to 200 units. Part 3: The elasticity is -1.0065 Part 4: Good X is a(an) (answer using numbers, 1-4) 1 C. As a result of a decrease in the price of good Y from 39 to 19 the demand for good X changes from 150 to 350 units. Part 5: The elasticity is -2.6 Part 6: These goods are(answer using numbers, 1-4) 3 D. As a result of an economic boom in Calgary, the average income increases from 2,800 to 4,200 per month and as a result the demand for new houses increases from 160 to 260 units. Part 7: The elasticity is 1.25 Part 8: Newm, houses are a(an) (answer using numbers, 1-4) 2

Angela

Reasons for the changes:

Reasons for the changes:

Project: Angela and Mr. Olson. Angela and Mr. Olson.rtf 1. Modify the attached menu for each of the following people. Angela is 8 months pregnant and is experiencing constipation; her calorie needs are 2600. Mr. Olson is 65 yr. old and has been told by his doctor to reduce is sodium intake and increase his potassium intake to control his blood pressure. His calorie need is 2000. He has no other health problems. Explain your changes for each person on the form and send it as an email attachment to the instructor.

Use the money market and FX diagrams to answer the following questions. This question considers the relationship between the Indian rupee (Rs) and the U.S. dollar ($). The exchange rate is in rupees per dollar, ERs/$. On all graphs, label the initial equilibrium point A.

a. Illustrate how a permanent decrease in India’s money supply affects the money and FX markets. Label your short-run equilibrium point B and your long-run equilibrium point C. (1 mark)
b. By plotting them on a chart with time on the horizontal axis, illustrate how each of the following variables changes over time (for India): nominal money supply MIN, price level PIN, real money supply MIN/PIN, interest rate iRs, and the exchange rate ERs/$. (1 mark)
c. Using your previous analysis, state how each of the following variables changes in the short run (increase/decrease/no change): India’s interest rate iRs, ERs/$, expected exchange rate EeRs/$, and price level PIN. (1 mark)
d. Using your previous analysis, state how each of the following variables changes in the long run (increase/decrease/no change relative to their initial values at point A): India’s interest rate iRs, ERs/$, EeRs/$, and India’s price level PIN. (1 mark)
e. Explain how overshooting applies to this situation. (1 mark)

7) Review the influence of mass extinctions on animal diversification.

First, in one paragraph define the key geological periods in the history of animal diversification (Proterozoic, and Paleozoic) associated with large-scale changes in diversity . (1^st – key geological periods in diversification . List them, note their time frames.)

In the next paragraph, briefly describe any associations between mass extinctions and key geological periods, using several examples from Biol 227 . (2^nd Of these key periods, what are mass extinctions (do what to diversity ), how are mass extinctions related to period time frame definition, what environmental change causes which extinction etc)

In your final paragraph discuss the role of mass extinctions have had in animal diversification, focusing on key environmental changes and their consequences for animal diversity . (3^rd – Diversification is not only about extinction. Is there any relation between mass extinctions and notable changes in diversity that we have talked about in Biol 227. You start by noting facts of period definitions and the occurrence of mass extinctions. Essay questions also lead you to summarize and perhaps in the end, draw some king of generalization in this question about Diversity – the subject of Biol 227. That is, associations key geological periods, mass extinctions, and what happens to diversity because of and as a result of etc..)

In part of a study reported by Perotta and Finch (1972), the blood films of 16 patients with severe renal (kidney) anemia and 10 patients with functional heart disease were measured for red blood cell counts. The percentage changes in red blood cell counts appear below:

• Renal anemia: 2.20, 1.52, 1.54, 0.77, 0.34, 0.45, 0.39, 0.29, 0.18, 0.16, 0.23, 0.24, 0.17, 0.08, 0.02, 0.02.

• Heart disease: 1.84, 0.44, 0.30, 0.06, 0.20, 0.14, 0.10, 0.09, 0.06, 0.04.

Because of non-normality, we’ll do our analysis on the logs of the data.

Suppose we wish to show that the mean log percentage change is greater for renal patients than for heart patients.

(a) Write down mathematical null and alternative hypotheses for such a test. Carefully define the parameters you use.

(b) Calculate the observed test statistic and the degrees of freedom for an appropriate test.

(c) Find a P-value for your test. What does it tell you about severe renal anemia, functional heart disease, and red blood cell counts?

(d) Find a a 95% confidence interval for the difference in the means of the log percentage changes. Transform the confidence interval back to the original scale. What does your interval tell you quantitatively about the difference in the distributions of red blood cell count changes between the two types of patients?

Kidneys and hearts - R code

In part of a study reported by Perotta and Finch (1972), the blood films of 16 patients with severe renal (kidney) anemia and 10 patients with functional heart disease were measured for red blood cell counts. The percentage changes in red blood cell counts appear below:

Renal anemia: 2.20, 1.52, 1.54, 0.77, 0.34, 0.45, 0.39, 0.29, 0.18, 0.16, 0.23, 0.24, 0.17, 0.08,0.02, 0.02.

Heart disease: 1.84, 0.44, 0.30, 0.06, 0.20, 0.14, 0.10, 0.09, 0.06, 0.04.

Because of non-normality, we'll do our analysis on the logs of the data. Suppose we wish to show that the mean log percentage change is greater for renal patients than for heart patients.

(a) Write down mathematical null and alternative hypotheses for such a test. Carefully define the parameters you use.

(b) Calculate the observed test statistic and the degrees of freedom for an appropriate test.

(c) Find a P-value for your test. What does it tell you about severe renal anemia, functional heart disease, and red blood cell counts?

(d) Find a 95% confidence interval for the difference in the means of the log percentage changes.

Transform the confidence interval back to the original scale. What does your interval tell you quantitatively about the difference in the distributions of red blood cell count changes between the two types of patients?