Career Objectives Of Queens Executive Mba - 1385 Words

U of C: A written statement outlining - Career objectives and - Learning objectives. Queen’s: A cover letter outlining - Current responsibilities and assignments, - Career accomplishments, - Reasons for applying to Queen s Executive MBA, and - Professional and - Personal goals. I want to earn the MBA so I can - Have better career prospects - Earn more money - Secure my career - Finish what I wanted to accomplish 20 years ago, to serve my country, - Align my skills with the appropriate credentials - Open up my career choices - Challenge myself with intellectual activities - Spark my interest with something challenging and feel motivated again - Get back to the Corporate world - Chose the company I want to work for and the work I†¦show more content†¦Train with the best, large corporation.Guidelines - What is my story (what’s unique about me) - Support my statement with examples, always. - Be concise - Use â€Å"I†, don’t be funny, don’t capitalize everything - A paragraph after 6 lines. - Grammar and spelling: â€Å"the Elements of Style† by Strunk. Why U of C or Queen? Show I have done my homework about the why I pick this organization. What I am going to add to the program? University of Calgary Career Objectives and Learning Objectives Introduction I have been considering joining an EMBA for many years and I am very excited to have finally made the decision and applied to the Alberta Haskayne executive MBA program. Add something about being in Calgary and wanting to stay in Calgary. I have almost 20 years of experience in Supply Chain out of which 12 at Director level in the Hi-Tech industry. My core area of expertise is Procurement but I have also taken on more responsibilities over the years to manage Planning, Warehousing, Logistics and Distribution. I have dealt with complex supply chains in North America, Europe (East/West), Latin America and I had extensive activities in Asia. Career Objectives Short term goals My short-term career objective is focused on developing management consulting capabilities. I started as a consultant in 2013 and developed the first documented end-to-end Operating Model for our company. The approach I took and the methodology I created are now used by all

Essay on The Effects Of Britan On The Colonies During...

nbsp;nbsp;nbsp;nbsp;nbsp;Between the settlement of Jamestown in 1607 and the Treaty of Paris in 1763, the most important change that occurred in the colonies was the emergence of a society quite different from that in England. Changes in religion, economics, politics, and social structure illustrate this Americanization of the transplanted Europeans. nbsp;nbsp;nbsp;nbsp;nbsp;By 1763 although some colonies still maintained established churches, other colonies had accomplished a virtual revolution for religious toleration and separation of church and state. The British, after many years of religious revolution had established the Anglican Church. In which the king of England was the head of this church. This resulted in almost no†¦show more content†¦The northern colonies developed many trade triangles. One such triangle would be a northern captain setting out from New England with rum. This ship would then sail to the west coast of Africa and trade the rum for slaves. The captain would of course reek a handsome profit and with those slaves he would then take them to the West Indies to trade them for molasses. He then take the molasses and what was left of the slaves and sell them back in the colonies. This left the Northern colonies much richer than the southern colonies. The main reason for this difference is that Britai n had always thought that the amount of money in the treasury is how powerful you were. The Americans thought that the more money you make the better off you were. It generally hinged on how much needed resources you wanted to own. The Americans saw past that and expanded heavily on trade. Therefore they could make more money. nbsp;nbsp;nbsp;nbsp;nbsp;Building on English foundations of political liberty, the colonist extend the concepts of liberty and self-government far beyond those envisioned in the mother country. Although Britain had a representative government they had a monarchy, sort of. Still even though they had a representative government the members of parliament were not directly chosen by the people. In Virginia, in specific Jamestown, the House of Burgesses said that representatives were to be chosen by land owning people. Another good idea from the colonies was the

The Reality Of Reality Tv Essay - 1919 Words

This particular episode of Dancing with the Stars was scheduled on a Sunday, 7-8:35pm, TV3. As stated by Horrocks (2004), this time is during the prime viewing time, with substantial numbers of audience members watching television. According to Creeber (2008) the genre of reality TV is typically shaped by the weekend program, followed by results and elimination – hence, Dancing with the Stars has performances on Sunday and results of voting of Monday. As shown by Throng (2015), this episode, screened July 12, had 346,930 people watching with a potential audience share of 8.3% of total viewers watching TV at that time, which can be compared to the competition on other stations (Neilsen, 2015; Throng, 2015). TV One screened Sunday at 7-8pm (442, 700 viewers, 10.5% share of the total audience) followed by House Hunt 8-8:30pm (302,820 viewers, 7.2% share of the total TV audience) (Neilsen, 2015; Throng, 2015). TV One is aimed at older audiences, thus, viewers older than the key d emographic of Dancing with the Stars would most likely have watched TV One during this time. TV2 however, was in direct competition with TV3 during this time as it had a similar reality TV talent show screening – The Voice Australia (Neilsen, 2015). This show is aimed at a slightly younger demographic due to the target audience of TV2 being younger, however, because of the time slot and genre it is in competition with Dancing with the Stars (Neilsen, 2015). However, The Voice Australia, had only 188,450Show MoreRelatedThe Reality Of Reality Tv951 Words   |  4 Pages Reality TV and You Television shows were created to entertain the public and soon generalized shows became a bore. Reality TV shows are widely varied but are similarly based on the lives of non-fictional characters that brings out their daily challenges and achievements. 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In a way it s becoming increasingly hard to avoid not watching. Some viewers see the TV show and tend to be attention seekers, and reality TV allows them to fantasize about achieving status through instant fame. Too much reality TV may lead viewers to idealize real world situations, like romanticizing dating. Like when Truman saw the girl in the library who was anRead MoreThe Reality Of Reality Tv991 Words   |  4 PagesI truly believe that reality TV needs a different name. At first reality TV was created with the aim to depict reality, but over time different interests and actions have resulted in doing the opposite of this. I would even go so far to say that reality TV has become just as fictional as fiction based television. â€Å"Reality† is defined as â€Å"the world or the state of things as they actually exist, as opposed to an idealistic or notional idea of them†. 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Business Statistics for Financial Decision †MyAssignmenthelp.com

Question: Discuss about the Business Statistics for Financial Decision. Answer: Introduction: The report analyses sales figures of Schmeckt Gut for the last 25years (1991-2015)and tries to forecast sales for the year2016. The first explanatory variable considers here is the Gross Domestic Product in US dollar capture the income development. The trend in prices is indicated in terms of average increase in the price index. Population is another important factor determined the sales of energy bar. The data on population for the age limit 15 to 65 years are studied. A survey is conducted to measure the level of satisfaction from the energy bar consumption. The satisfaction level is ranked from 0 to 10 where 0 implies not satisfied and 10 implies very satisfied. In order to promote products company makes advertisement. Advertisement of energy bars that is number of advertisement on an average. The last variable consideris the number of stores from where energy bars can be purchased. All the chosen explanatory variables are likely to have large influence on sales. Sales US$ Survey score Advertisement Stores Sales US$ 1 Survey score 0.588601019 1 Advertisement 0.986236917 0.54833082 1 Stores 0.971109284 0.52890297 0.970966786 1 The correlation matrix shows the correlation between sales and independent variables of satisfaction score, number of advertisement and number of stores. The correlation coefficient between sales and satisfaction score is 0.59. The positive correlation implies a positive relation between sales and survey score. The coefficient is high showing a strong correlation between the two variables. The correlation coefficient between Sales and number of advertisement is 0.99. A value of correlation coefficient close to 1 shows a perfect positive relation between the variables. The correlation matrix gives value of correlation coefficientequals to 0.9711. This value is also close to 1 implying perfect linear relationship between sales and stores. Time Series Regression Regression Statistics Multiple R 0.997898471 R Square 0.995801359 Adjusted R Square 0.994401812 Standard Error 0.020094198 Observations 25 ANOVA df SS MS F Significance F Regression 6 1.7238 0.2873 711.5169 0.0000 Residual 18 0.0073 0.0004 Total 24 1.7310 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 12.763 1.008 12.660 0.000 10.645 14.881 ln(GDP) 0.065 0.052 1.267 0.221 -0.043 0.173 ln(Price index) -0.131 0.017 -7.615 0.000 -0.167 -0.095 ln(Popualtion) -0.350 0.135 -2.586 0.019 -0.635 -0.066 ln(satisfaction) 0.084 0.025 3.413 0.003 0.032 0.136 ln (advertisement) 0.868 0.093 9.314 0.000 0.672 1.064 ln(Stores) 0.230 0.078 2.954 0.008 0.066 0.393 From the regression result the estimated equation is obtained as The coefficient of ln(GDP) is 0.065.The positive value of the coefficient implies a positive relation between sales and GDP. The variable is not statistically significant as the p value is 0.221, which is greater than the significance level of 5%. The coefficient of ln(Price Index) is -0.131. This indicates 1% increases in prices reduces sales by 0.13%. The variable is statistically significant as indicated by the significant p value of 0.000. The coefficient of ln(population) in -0.350. The unit increases in population aged between 15 to 65 years causes a decrease in sales by 0.35%. The variable ln(population) is statistically significant. The three remaining variables satisfaction score, number of advertisement and number of stores are significant determinant for sales of energy bars. These three variables have positive impact on sales. However, the highest effect is estimated for number of advertisement with coefficient value of 0.868, followed by number of stores and satisfaction score with estimated coefficient of 0.23 and 0.084. The following forecasts are given for the independent variables. Based on these information sales in 2016 can be predicted. If GDP grow by 2.5%, then GDP becomes Price index = 2%. Given population grows by 0.5 percent population in 2016 is Satisfaction score = 7.5 Number of advertisement = 18 Number of stores = 12 Taking the logarithm of each of the dependent variables and putting them in the estimated equation the sales of 2016 is predicted as Taking antilog, the predicted sales in 2016 is obtained as 1047387.7 Therefore, the approximate sale of Schmeckt Guts energy bars in 2016 is 1047387.7. Methods of forecasting The alternative forecasting techniques that can be applied are trend analysis and exponential smoothing. Trend analysis is a common forecasting technique used by business or other organization to predict the future outcome based on historical data. In statistics trend analysis captures the pattern of time series behavior. Regression analysis gives a cause and effect relation based on least square measures (Cameron Trivedi, 2013). Trend analysis can predict the future value without the estimated equation. It analysis the behavior of variables overtime and then predict the future value. In this study trend of sales and the dependent variables from 1991 to 2015 and the forecasted value of these indicators are used to predict sales in 2016. Accordingly the predicted sale of 2016 is obtained as 1050012.9. The predicted value of sales by trend analysis is very close to that obtained from the regression analysis. Exponential smoothing is a kind of moving average used for time series forecasting. The forecasting is done using the following equation Ft is the forecasted sales of year t At-1 is the actual sales of previous year Ft-1 is the forecasted sales of the previous year is the smoothening constant , 01 The forecasting is done for a given value of . As no value of is given, it is taken as 0.5. This forecasting technique compares the prior forecasting estimate with actual value and use the difference or error to make new forecast (Montgomery, Jennings Kulahci, 2015). Here values of baseline variable are used as a medium of forecasting. In the exponential smoothing previous years sales value are used to forecast sales in 2016. The forecasted value of sales in 2016 is 898035.5. References Cameron, A. C., Trivedi, P. K. (2013).Regression analysis of count data(Vol. 53). Cambridge university press. Montgomery, D. C., Jennings, C. L., Kulahci, M. (2015).Introduction to time series analysis and forecasting. John Wiley Sons.