Saturday, February 22, 2020

Mahatma Gandhi Coursework Example | Topics and Well Written Essays - 3000 words

Mahatma Gandhi - Coursework Example Mohandas Karamchand Gandhi is usually addressed as Mahatma Gandhi, "Mahatma" meaning "Great soul". He led India through its struggle to independence and has been rightfully called the "Father of the nation" or "Bapu, meaning Father" in India. He was a great visionary and in his thoughts and actions were far ahead of his times. He lived his life for his principles of simple living and high thinking. He wanted to follow "satya" or truth and ahimsa or non-violence. In a world of crimes and death rows, he showed that spirituality and a deep concern for his fellow beings a can achieve a lot through the toughest of odds. In the Times Magazine, year 2000 Johanna McGreary, writes that, "In an age of empire and military might, he proved that the powerless had power and that force of arms would not forever prevail against force of spirit." Times magazine had nominated him as the runner up for the "Person of the Century". Gandhiji's autobiography, "The Story of My Experiments with Truth" makes gripping reading and one cannot but be amazed at the humble beginnings and simple circumstances which has led to the shaping of this great soul who served as a documented inspiration for celebrities like Martin Luther King, Nelson Mandela, Lech Walesa, and Aung San Suu Kyi. Set in the time frame of the mid 1800's to the mid 1900's it targets multiple audiences, which are riveted towards it for the different facets it presents. It walks us through his innocence childhood, youthful discrepancies and an emerging maturity as he sees the world and takes in the sufferings and the steeled principles, which eventually sees him, triumph. He is never at a loss for words because it's just a narration of the happenings in his life, his inspirations, both people and events, and a will to impart his education and knowledge to the readers. His autobiography is very simply written and starts honest account of what how his life began. He was born in Porbunder in 1869 on October 2nd. He was the youngest of three brothers. He was born in to a traditional, religious "Vaishnavite " family meaning a particular caste bound by specific religious beliefs and cultural codes. His father was a strict but very well respected "Divan" or official in the administration and was young Gandhi's role model. His mom is portrayed as a very religious person who put herself through fasts and saintly austerities and accepted every hardship as a will of god and did not flinch when things didn't go according to plan. Young Gandhi states that two of the most inspiring events in his life happened during his childhood.One of his first memories is the reading of a book about 'Sharvan", a son who stuck to taking care of his parents with unerring devotion and care. He was enamored by this fact and the proof that he imbibed it well is that when his father is bed ridden later in his life he was one of the prime nursing aides: even in his young age, he is supposed to have forgone time at the gym in order that he rushes home to be at his father's side. But at the same time, he also feels very badly when he spends time with his

Wednesday, February 5, 2020

The Determinants of Household Poverty in the USA - 1980 Statistics Project

The Determinants of Household Poverty in the USA - 1980 - Statistics Project Example It is the dependent variable in this analysis. Family size is basically the number of people in a single family. The county-level family sizes were obtained by dividing the total number of people within respective counties by the number of households. Large family sizes are known to increase dependency levels, thereby making it more difficult for the breadwinners to invest in productive income-generating ventures and subsequently increasing poverty levels. Urbanization refers to the percentage of the entire population in a county that resides in urban areas. According to Cali and Menon (2009), urbanization has a net poverty reduction effect, since it invigorates business aspirations and income prospects for the population. Unemployment rate is the percentage of the entire population within a locality that is unemployed. Unemployed people tend to have higher poverty levels. Higher unemployment rates correspond to higher poverty levels within a population. Income refers to the median income of all the employed individuals within a county. The higher the average income for a population, the lower the poverty levels within it. Higher income enables workers to live more comfortably since they can meet their needs and obligations more easily. Equally, better-paid people tend to have more room for investing and, therefore, diversifying their earnings to accumulate even higher income. This study aims to establish the individual strengths of each of the independent variables as a determinant of poverty (the dependent variable). Correlation analysis has been used to establish the nature of the relationship between each of the independent variables and poverty (whether positive or negative). Using regression analysis, the independent variables are investigated for their ability to predict levels of poverty within the sample population. This type of analysis also provides the basis for obtaining a predictive model that can be used to project future poverty

The Determinants of Household Poverty in the USA - 1980 Statistics Project

The Determinants of Household Poverty in the USA - 1980 - Statistics Project Example It is the dependent variable in this analysis. Family size is basically the number of people in a single family. The county-level family sizes were obtained by dividing the total number of people within respective counties by the number of households. Large family sizes are known to increase dependency levels, thereby making it more difficult for the breadwinners to invest in productive income-generating ventures and subsequently increasing poverty levels. Urbanization refers to the percentage of the entire population in a county that resides in urban areas. According to Cali and Menon (2009), urbanization has a net poverty reduction effect, since it invigorates business aspirations and income prospects for the population. Unemployment rate is the percentage of the entire population within a locality that is unemployed. Unemployed people tend to have higher poverty levels. Higher unemployment rates correspond to higher poverty levels within a population. Income refers to the median income of all the employed individuals within a county. The higher the average income for a population, the lower the poverty levels within it. Higher income enables workers to live more comfortably since they can meet their needs and obligations more easily. Equally, better-paid people tend to have more room for investing and, therefore, diversifying their earnings to accumulate even higher income. This study aims to establish the individual strengths of each of the independent variables as a determinant of poverty (the dependent variable). Correlation analysis has been used to establish the nature of the relationship between each of the independent variables and poverty (whether positive or negative). Using regression analysis, the independent variables are investigated for their ability to predict levels of poverty within the sample population. This type of analysis also provides the basis for obtaining a predictive model that can be used to project future poverty

The Determinants of Household Poverty in the USA - 1980 Statistics Project

The Determinants of Household Poverty in the USA - 1980 - Statistics Project Example It is the dependent variable in this analysis. Family size is basically the number of people in a single family. The county-level family sizes were obtained by dividing the total number of people within respective counties by the number of households. Large family sizes are known to increase dependency levels, thereby making it more difficult for the breadwinners to invest in productive income-generating ventures and subsequently increasing poverty levels. Urbanization refers to the percentage of the entire population in a county that resides in urban areas. According to Cali and Menon (2009), urbanization has a net poverty reduction effect, since it invigorates business aspirations and income prospects for the population. Unemployment rate is the percentage of the entire population within a locality that is unemployed. Unemployed people tend to have higher poverty levels. Higher unemployment rates correspond to higher poverty levels within a population. Income refers to the median income of all the employed individuals within a county. The higher the average income for a population, the lower the poverty levels within it. Higher income enables workers to live more comfortably since they can meet their needs and obligations more easily. Equally, better-paid people tend to have more room for investing and, therefore, diversifying their earnings to accumulate even higher income. This study aims to establish the individual strengths of each of the independent variables as a determinant of poverty (the dependent variable). Correlation analysis has been used to establish the nature of the relationship between each of the independent variables and poverty (whether positive or negative). Using regression analysis, the independent variables are investigated for their ability to predict levels of poverty within the sample population. This type of analysis also provides the basis for obtaining a predictive model that can be used to project future poverty