What are the Causes of Poverty - Free Essay Example

Sample details Pages: 2 Words: 460 Downloads: 10 Date added: 2019/04/16 Category Society Essay Level High school Tags: Poverty Essay Did you like this example? There are a few major items that may cause people to be unhealthy and not economically self-sufficient, and could ultimately lead to eviction. Initially various studies have shown that substance abuse, mental health, dramatic changes in the family structure, and possible situational factors are factors that cause people to be unhealthy and not economically self-sufficient. I do believe that these factors play a part in the contribution of the demise, but the major cause is no job or lower paying jobs with no benefits. Don’t waste time! Our writers will create an original "What are the Causes of Poverty?" essay for you Create order To sum it up, I would say the working poor. The working poor are the individuals that fall below the poverty line. Due to their economic situation, they are probably renting and living pay check to pay check. Any given factor could cause them to lose their job, which eventually means being evicted from their rental. Based on studies done by the United States Department of Labor, despite strong labor markets with a record low unemployment rated, millions of Americans remain poor. The working poor are the fastest growing segment of the poverty population. The working poor are the individuals that hold the lowest paying jobs and the most unstable jobs. They rarely work for a full year. They usually lack higher education. Many have health constraints and dont have health insurance, or have less access to health care. The working poor are usually women, non-citizens, blacks and Hispanics, people in single parent families, people with mental health issues or substance abuse issues or individuals that have been incarcerated. Individuals that struggle with substance abuse and mental health factors often haven similar symptoms and issues wither caused by psychotic substances or mental health disorders. The effects of these disorders and substance abuse can cause impaired judgment, lack of reliability, irresponsibility, anxiety and the overall struggle to maintain a healthy stable lifestyle. Which, eventually means possible loss of job or lack of ability to obtain a job based on their current unstable psyche due to substance abuse or mental health disorders. Situational factors or a change in the family dynamics, such as divorce could also play a role in the cause of an economic pendulum swing in the opposite direction of stability. Switching from a two family income to a single family income can lead to lack of insufficient funds to support a family. Ultimately the domino effect of substance abuse, mental health, change in family structure and situational factors could all play a role in contributing to creating an economic strain on a family or an individual and eventually lead to loss of employment and then to eviction. The working poor are a large portion of our society that encounter several situations as mentioned previously that could alter their economic stability and eventually lead to eviction.

Compare and Contrast of Classical Ballet and Modern Dance...

Compare and Contrast of Classical Ballet and Modern Dance Dance is one of the most beautiful, expressive forms of art known to mankind. It expresses joy, love, sorrow, anger, and the list truly goes on for all the possible emotions that it can convey. Dance not only can express how one feels, but it can tell a story or even be used to praise a higher power. Dance has intricately played an important role to every culture over the course of time. Two forms of dance that have not only stood against the test of time but have influenced the development of other various styles of dance is none other than Classical Ballet and Modern Dance. Classical Ballet is the epitome of class and sophistication, it is known for its meticulous techniques†¦show more content†¦Petipa’s production of Swan Lake is a beautiful example of the structure movements that dancers must perform; in the clip titled Odile entrance Black Swan pas de deux, you see â€Å"The Black Swan† perfect posture and balance, dancing on en Pointe all the while manag ing to gracefully seduce the prince through her seductive movements and entrancing expressions. In contrast Modern dance focus is on the dancer expressing their inner most emotions and feelings through free flowing movements. The modern dancer uses their whole body more naturally and fluidly to convey what their current emotional state is, unlike classical ballet where the ballerina at all times keeps an upright posture, and performs with structured, angular lines. Martha Graham’s â€Å"Frontier† is a great example of the free movements of Modern dance; In this performance Martha Graham uses her whole body to move to the rhythmic sounds of the drums and music, you can clearly see that there is no confined structure in this performance, she is completely moving organically to how she is feeling and what she is trying to convey through her movements. Classical ballet took a step forward and revived prominent roles for men; whom previously the Romantic era had solely focu sed on the art of theShow MoreRelatedDo A Work Of Fine Art?1157 Words   |  5 Pagesbecomes more distinct. Although Andy’s Campbell’s Soup Cans and Vincent’s Irises both demonstrate each artist’s expertise, Vincent’s art is considered fine art, whereas Warhol’s is viewed as pop art. Just as with two-dimensional art, there is a stark contrast between fine art photography and pop culture photography. 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Regression Model Free Essays

Introduction A regression model with one explanatory variable is called a Simple linear regression, that is it involves 2 points: single explanatory variable and the response variable which is the x and y, coordinates in a Cartesian plane and finds a linear function a non-vertical straight line that, as precisely as possible it explains the dependent variable values as a function of the independent variables. The term simple refers to the fact that the response variable y is related to one predictor x. The regression model is given as Y=?0+?1 + ? and they are two parameters that are used estimate the slope of the line ?1 and the y- intercept of the line ?0. We will write a custom essay sample on Regression Model or any similar topic only for you Order Now ? is the random error term.BackgroundRegression analysis is a vital statistical method for the analysis of medical data. It makes it possible for the recognition and grouping of relationships among multiple factors. It also enables the recognition of prognostically relevant risk factors and the calculation of risk scores for individual prognostication, this was made possible by English scientist Sir Francis Galton (1822–1911), a cousin of Charles Darwin, made significant contributions to both genetics and psychology. He is the one that came with regression and a pioneer in using statistics in a study of living organism. In his study the data sets that he considered consisted was the heights of fathers and first sons. He wanted to find out whether he can predict the height of a son based on the father height. Looking at the scatterplots of these heights, Galton saw that the was relationship which was linear and increasing. After fitting a line to these data using the statistical techniques, he observed that for fathers whose heights were taller than the average, the regression line predicted that taller fathers tended to have shorter sons and shorter fathers tended to have taller sons.PurposesSimple linear regression could be for example be purposefully when we Consider a relationship between weight Y (in kilograms) and height X(in centimeters), where the mean weight at a given height is ?(X) = 2X/4 – 45 for X 100. Because of biological variability, the weight will vary for example, it might be normally distributed with a fixed ? = 4. The difference between an observed weight and mean weight at a given height is referred to as the error for that weight. To discover the relationship which is linear, we could take the weight of three individuals at each height and apply linear regression to model the mean weight as a function of height using a straight line, ?(X) = ?0 + ?1X . The most popular way to estimate the parameters, intercept ?0 and slope ?1 is the least squares estimator, which is derived by differentiating the regression with respect to ?0 and ?1 and solving, Let (xi , y i ) be the Ith pair of X and Y values. The least squares estimator, estimates ?0 and ?1 by minimizing the residual sum of squared errors, SSE = ?(y i – ? i)2, where y i are the observed value and ?i = b0 + b1xi are the estimated regression line points and are called the fitted, predicted or â€Å"hat† values. The estimates are given by b0 = ¯y – b1  ¯x and b1 = SSXX / SSYY, and where  ¯Xand  ¯Y are the means of samples X and Y, SSXX and SSYY being their standard deviation values and r = r(X,Y) being their Pearson correlation coefficient. It is also referred to as Pearson’s r, the Pearson product-moment correlation coefficient, is a measure of the linear between two variables X and Y Where X is the independent variable and Y being the Dependant variable as stated above. The Pearson correlation coefficient, r can take a range of values from -1 to +1. A value of 0 suggests that there is no association between the two variables X and Y. A value greater than 0 indicates a positive association that is, as the value of one variable increases, so does the value of the other variable. Before using simple linear regression analysis it is always vital to follow these few steps: Choose an independent variable that is likely to cause the change in the dependent variable Be certain that the past amounts for the independent variable occur in the exact same period as the amount of the dependent variable. Plot the observations on a graph using the y-axis for the dependant variable and the x-axis for the independent variable review the plotted observations for a linear pattern and for any outliers keep in mind that there can be correlation without cause and effect.ImportancesSimple linear regression is considered to be extensively useful in many practical applications and methodologies. Simple linear regression functions by assuming that the variables x and y have a relationship which is linear within the given set of data. As assumptions are and results are interpreted, persons handling the analysing role in a such data will have to be more critical because it has been studied before that there are some variables which inhibit marginal changes to occur while others will not consider being held at a fixed point. Although the concept of linear regression is one complex subject, it still remains to be one of the most vital statistical approaches being used till date. Simple linear regression is important because it has be wildly being used in many biological, behavioural , environmental as well as social sciences. Because of its ability to describe possible relationships between identified variables independent and dependent , it has assisted the fields of epidemiology, finance, economics and trend line in describing significant data that proves to be of essence in the identified fields. More so, simple linear regression is important because it provides an idea of what needs to be anticipated, more specially in controlling and regulating functions involved on some disciplines. Despite the complexity of simple linear aggression, it has proven to be adequately useful in many daily applications of life. How to cite Regression Model, Papers