National Sales Meeting<br />Company W <br />MGMT600-1003B-05<br />Applied Managerial Decision-Making<br />Professor Roy Vi...
Company W<br />Location in United States<br />More Diverse Communities<br />Population 25 years are older holds Bachelors ...
Education Variables<br />Delisa C. Fryer <br />
HH Income by Age Householder<br />Delisa C. Fryer <br />
Zip Codes and Ethnicity<br />Delisa C. Fryer <br />
Occupations Variables<br />Delisa C. Fryer <br />
Barrera, R. (2008) National speakers bureau Retrieved August 29, 2010 from
NREL (n.d.) North region educational laboratory: Socioeconomic status Retrieved August 29, 2010 from
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  • Company W vision is to sell premium quality healthy snacks throughout the United States. We plan to develop a brand name, to grow our business through expansion product offers, superior products, colorful and exciting packaging, marketing fully, distributing, along with satisfying our customer&apos;s. My region is Pennsylvania, New Jersey and Delaware the tri-state area on the east coast. We have diversity and different types of cultures throughout the three states.I found out that there are quite a few differences in my territory and the United States. One the population is smaller, so there is lesser of a chance to prove relations unless the sample corresponding is larger. I believed that it may be easier prove if it was the opposite, but the smaller the relation between two variables then harder it is to prove, and then the sample size has to be larger in order to prove its significance. I mostly looked at the population 25 years and older for my data sample. It is very likely that this is the strongest workforce, in the area, when the population is just beginning their careers.  If the community is more diverse there will be a difference; example if the heights of adult men are nicely bell shaped in one area but the distribution of heights in all adults in a more spread out area then distribution makes a difference. Incomes for adults 25 years or older is better than I expected for my territory, 46,000 per year for adults that hold bachelor’s degrees, compared to in the United States.
  • Visual aids help the effects of the written report, it gives life in the form of charts, graphs, and other methods. Reading large amounts of data is boring to most people, they will prefer to see the same data in a chart. Bar charts are normally used, for example we could use this chart to show and education for those who have not finished their high school education and those who have finished high school education and those with some college; and of those who have finished their Bachelors degree. In the U.S. , people who have finished the 9th grade, could possibly earn an income of 10,000 per year for those who have completed high school they can earn up to 30,000 dollars per year and those with some college . Since my territory includes Pennsylvania, New Jersey, and Delaware which is very diverse culture and educational levels vary from states to state, I choose to research these numbers. I was very surprised to find that 25.9% of Pennsylvania population 25 years and older holds a bachelor’s degree in Pennsylvania, compared to the recent U.S. Posting of 27.04 % I find this extremely high for this area as well as unexpected. That I do not believe in the young adults in this area, there is so much crime, I always believed that the crime rate went up, if the educational level went down.
  • The measure of Company W is to forecast its future, knowledge, and keen foresight, of these census, will help us target the market of consumers, in our region. Company W will produce snacks that are affordable at all income levels. This graph shows that adults 25 make 10, 000 per year is 21.11% in the United States, and the possibility of their incomes by percentage and in dollars. At the age of 25-34 the possibility of making 200,000 per year goes way down, between age 54-64 people have a 90% possibility of making 150,000 and 199,000 per year and it goes down after this. According to U.S. Census income will continue to drop because of the recession. In the Pennsylvania region, the average household earns 48,203 per year, and for Philadelphia county is 53,044.
  • This chart represents the zip codes listed in the Chicago, native Hawaiian’s seem to be the larger of the groups in this area. The Latino also has a 80% representation in the area with 10% Asian 10% black American, and the white population around 70% (US Census, 2010). The target audience in this zip code would be the Hawaiian and Latino population. A long time snack of the Hawaiian’s is Manapua with means (pork filled Bun) which was adopted from the Chinese but the Hawaiian’s has made it their own. It is made with dough either filled with pork or chicken, baked or steamed. Some Hawaiian healthy snacks include Kale Chips, wraps filled with turkey, snack dip with chips, and olive rye snack crackers(Ifood tv, 2010). The Latino community snacks are American with a Latino twist, the Latin American Cookies are enjoyed by young and old, Hot Roasted Pumpkin seeds are baked and eaten on their own and use in recipes. There are raisin nut crackers and chees-olive snacks. Company W can create snacks that are appealing to the people that live in these zip codes.
  • This graphs shows the occupation variables from 1999, 2000, 2006 ,2008, 2009 and 2010. finance and insurance occupations rising as high as 16%, public administration and manufacturing is 14% or more. Socioeconomic status combines the economics of consumers and the occupations, this is based on income, education occupation and status in the community . There are three SES high, middle, and low describing where the areas of the families or person falls into. High socioeconomic status, often has the support, finance, education to enjoy a variety of enriching experiences, that the lower SES can not. With this information in mind Company W can develop health food snacks, for high, middle and especially for the lower SES (NREL.n.d.) childhood obesity and socioeconomic status, are being compared, data from children 6-18 nationwide are being studied. It was concluded that childhood obesity is considered a health problem in the United States and worldwide. It also shows that the SES of groups have different risks (Yang, 2001). The largest risk between all of SES’s is cardiovascular disease. SES is measured occupation is one of the essential factors that contributes to this risk. 2,380 participants were used in a recent study 85% white and 15% non Hispanic and the SES was examined to a set of cardiovascular disease risk factors. Smoking blood pressure, and cholesterol, they found that education was significantly associated with the risk factors, showing that higher education is be best SES predictor of good health which contributes to the type of occupations that you hold (Winleby, Jatulis, Frank, &amp; Fortmann). Three Questions Based on a Comparison of US and Zip Code GraphsHow is Occupations changing the way consumers buy in the U.S. and how is it changing our Business?How can Company W use this data to implement, and develop products based on these comparison of U.S. and Zip Code Graphs?How can Company W build brand loyalty based on the knowledge shown in the Graphs?
  • National Sales Meeting

    1. 1. National Sales Meeting<br />Company W <br />MGMT600-1003B-05<br />Applied Managerial Decision-Making<br />Professor Roy Viar II<br />Delisa C. Fryer <br />
    2. 2. Company W<br />Location in United States<br />More Diverse Communities<br />Population 25 years are older holds Bachelors Degrees<br />The employment rate in our region is better than the whole U.S.<br />Territorial Differences<br />Delisa C. Fryer <br />
    3. 3. Education Variables<br />Delisa C. Fryer <br />
    4. 4. HH Income by Age Householder<br />Delisa C. Fryer <br />
    5. 5. Zip Codes and Ethnicity<br />Delisa C. Fryer <br />
    6. 6. Occupations Variables<br />Delisa C. Fryer <br />
    7. 7. Barrera, R. (2008) National speakers bureau Retrieved August 29, 2010 from<br />Hawaiian snack (2010) Manapua Retrieved August 28, 2010 from <br /><br /> Info (2010) Pennsylvania Retrieved August 27, 2010 from<br />Kaby, M. E. (2009) Internet Habit? Dependency? Addiction? Pop Psychology? Retrieved August 27, 2010 from<br /> /<br />MuniNetGuide (2000) Philadelphia County Retrieved August 27, 2010 from <br /><br />References<br />Delisa C. Fryer <br />
    8. 8. NREL (n.d.) North region educational laboratory: Socioeconomic status Retrieved August 29, 2010 from<br />Wang, Youfa (2001) Social epidemiology cross-national of childhood obesity: the epidemic and the relationship between obesity and socioeconomic status Retrieved August 29, 2010 from<br />Winleby, M. A. D.E. Jatulis, E. Frank, & Fortmann, S. P.(1992) Socioeconomic status and health: how education, income and occupation contribute to risk for cardiovascular disease. Retrieved August 29, 2010 from<br />Delisa C. Fryer <br />