The World Is Growing At An Amazing Rate - 1521 Words

â€Å"Everything has to come to an end, sometime† (Baum). And the era we live in, is an era in which the biggest threat to human well-being, to other species and the earth, is the human existence itself. The blasting increase in human population means that with every increasing life, the demand for food, fresh water, energy and a whole lot more other items will increase simultaneously. The world is growing at an amazing rate. Currently, the Earth’s population is growing by 60,000 people every eight hours; that’s two children born every second somewhere around the globe (Shariatmadari). So in a sense, every one second the supply of basic amenities must also increase to cater the need of two more living human souls. Experts believe that if we†¦show more content†¦To truly grasp the horror of overpopulation and why it is a threat to human existence itself, it is important to know the how it all started. Before the industrial revolution, the birth rates and death rates were about the same, keeping the population stable. Although people had a large number of kids but many of them died before the age of 6 (Kinder). Then in 1800s came the industrial revolution. Industrial revolution marked the beginning of an upward increase in the exponential graph that represents total world population by reducing death rates in the time to come. It allowed us to achieve this feat through medical advancements, increases in agricultural productivity. Medical advancements have allowed for a decrease in mortality rate as it provided better measures to treat critical health illnesses, more effective ways to control epidemics, more effective solutions to infertility problems and safer pregnancies. Increased food production through intensive farming techniques, including heavy use of genetically modified seeds, mechanized farming processes and immense use of fertilizers and pesticides, have also played a significant role in allowing the current growth of the human population. Lastly, having a large of number of kids, if not for old traditions, is still considered a highly personal matter and for whatever reasons, people don’t like being told what to do in their personal lives. However, it is important to understand that every personal decision such

My Family (My New Family) Essay - 521 Words

Feeling the confusion of not knowing my true identity? Starring at the pain of growing up not knowing my father, and watching my mother shut me out to be with a man, she hardly even knows? Watching as the pain and struggle has continuously tormented my heart leaving me the only escape of climbing into the unknown. Moving in with my aunt and uncle saved my life; they gave me the family I have always dreamed for. All my life I have questioned who I am? My mother was adopted and my father has been everywhere, but in my life. I am so thankful for every thing my family has done for me and I know that family is not blood, but those who stands by my side, who pick me up when i get thrown down, and most of all who loves me unconditionally. In†¦show more content†¦I turn clearing the signs of fecklessness and dissembling the truth. I find my cousins, which have become more like my brother and sister, gazing into my murky blue eyes as if they know the pain I’m facing, and wish to exhume it from my soul to evince the smile they once knew. For the first time in my life I feel as though I am part of a loving family. I feel as though I entered into a family who truly loves me, rather then a mother who resents me. In the beginning it was all so different, I felt as though I actually had a mother and father, I felt the pleasures of siblings. The only problem was and still remains, the empty hole in my heart from the abandonment of my father, and now my mother. I found myself searching for answers to my confusion, but with every answer received, it was trailed by a million new questions. I began looking at my life, questioning everything I was ever taught and started hiding my pain from the world, but letting it rain out on parchment. Watching my hand, I swerved and swirled the writing as the ink bled out a waterfall of emotions and secrets. It gave my soul sense of remorse, but yet a strong sense of pride as well. I have pride in the fact that with all the pain I have witnessed first hand, I stillShow MoreRelatedI Am A New Church Home And Form A Foundation For My Family2072 Words   |  9 Pagesbe â€Å"saved.† If I was to leave this earth, I knew if Jesus was the head of my life and savior that I would spend eternity in heaven with Him and other deceased loved ones. It was not until I started Union University did I take it more seriously about finding a new church home and form a foundation for my family. I knew that times woul d be hard and my faith would be tested while attending school full time, raising a family, and working full time. 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Final Project Auto parts word and excel Essay Example For Students

Final Project Auto parts word and excel Essay The director of marketing research needs to determine which forecast method is the most accurate in forecasting sales for the year 2008 based on the collected data on quarterly sales for the previous four years. After running four different methods of forecasting: regression with time series, regression with economic factors, Holt-Winters additive model, and Holt-Winter multiplicative model. Based on the error the most appropriate method of forecasting is regression tit economic factors. Based on this model, sales for the year BIBB decrease significantly, which may be indicative of possible recession. Therefore, it is highly recommended that auto parts plans efficiently with the available resources to prevent large loss of money. Background Forecast is a planning tool that helps management in its attempts to cope with the uncertainty of the future, relying mainly on data from the past and present and analysis of trends (Objectifications. Com)_ A good forecast helps companies prepare to prevent large amount of money loses by planning more efficiently. In the Auto Parts forecasting case study, the director of marketing of a large manufacturer of spare parts for automobiles understands the consequences of forecasting errors and wishes to forecast the sales as accurate as possible. After collecting sales data for each quarter Of the past four years, he ran a number of forecasts using the method of times series. However, there are some factors such as economic activity and Oil prices that may have a significant impact on auto parts sales for which he is concerned. Therefore, the director Of marketing research decided to use econometric variables to check if sales recast are better predicted using this model. Problem The large manufacturer of spare parts for automobiles must decide which forecast method is the most accurate in forecasting sales for the year 2008 based on the collected data on quarterly sales for the previous four years. Analysis The information provided for the auto parts case study in Excel included: quarterly sales, non-Tara activity index and oil prices for the years 2004, 2005, 2006, and 2007. Four different models were used to forecast sales for 2008: regression with time series, regression with economic doctors, Bolt-Winters additive model, and Bolt-Winters multiplicative model. Regression with time series: Time series is a sequence of obese »actions which are ordered in time or space (Young, 1997). There are two types of time series data: continuous such as electrocardiograms and discrete which are spaced intervals. The main features of time series are trend and seasonality. Trend is a long term enactment in a time series. The trend is the direction and rate of change in the time series. Trends may be identified by taking averages over a period of time in seasonal data. If the averages change over time, then a trend is identified. For example, in economics the GAP has a positive trend in the long term While resources and fix cost has a negative trend in the long term. Seasonality is the component of variation in a time series Which is dependent on the time Of the year. There are four seasons: spring. Summer, fall and winter. Dummies are used for seasonality. For the auto parts case study, regression with time series method was ran where Y the dependent variable is sales while X, XSL the independent variables are trend and seasonality respectively. Dummies were used for spring, summer, fall and winter. If a season is non-significant 8>0. 05, then it does not have an impact on sales. After running the first regression, winter (Q) is Nan-significant because it has a P value greater than 0. 5 and a t value less than absolute 2; therefore, winter (Q) does not have an impact on sales. After the first regression based on the F statistics the model is good; however, one of the independent variables (Q) was non-signifi cant. Subsequently, Squaws eliminated and a second regression was ran, After running the second regression without Q, based on the statistics the model is good. The R Square value means how much the independent variable explains the behavior of the dependent variable. In this model, the R square value represents how much trend and seasonality explain the behavior of sales. R square is equal to 95. 47, which means that the model explanatory power is high.