Wednesday, November 27, 2019

The Unknown Citizen Analysis Essays - The Necklace,

The Unknown Citizen Analysis The story The Star, which was written in 1970s, is trying to say that we need to understand the truth of our fate rather than put on blinders and quit refusing everything else that we dont want to see. In the story The Necklace written by Guy De Maupassant the woman worked herself to the bone for ten years trying to pay off the debt used to pay for the necklace she lost at the ball. The woman in this story is a poor pretty woman who thought she deserved a better life than one that she already had. The main character in this story is a woman named Louis, the daughter of simple working class man. Both stories include a sub theme of a hope for a better life, in which all men were created equal and all the ugly injustices in the world would cease to exist. But the cold hard fact is that we humans have this innate sense of optimism, which blocks our thinking for reality, because without it we would have no reason for living. In the case of he woman in the story The necklace the object being the necklace, which she eventually loses, and trys to replace. Instead of hiding the truth and facing the music, which was harder, to take than when she lied. The old adage which says, What a tangled web weave when we first start to deceive. We humans can't handle the truth. We think we know what is the truth. What that really is just bull*censored*. It's arrogance-playing tricks on our minds making us think we are in control of our lives. If we really were in control of our lives then why can't we control every little aspect of it that gives discomfort? Because we can't, because we don't know how, and eventually the truth will show that is we don't what the truth really is. Using the slippery slope logic one can conclude that the two stories are more similar than they are different but because the assignment at hand requires for me to compare and contrast in an illustrative manner then I guess I should start. In the story the Star the setting is on a rocket ship with astronauts and the setting in the necklace is old France in the late 1970's. The Star is a science fiction story while the necklace is an illustrative story. In the necklace the story is told from the third people point of view compared to the Star's point of view is in the first person. The necklace discusses the social classes distinction in detail while in the star is describes the Astrology in detail. The person who wrote the necklace was French was illustrative the author of the star was clearly American. The main focus of the story is based on the importance of having money while the star is about the survival of the fittest. The similarities in both stories include that both deal with theme of hope. One is more graphic in the account of survival as portrayed in the star but the details in how the girl had to work hard in how each detail in her work day was shown through words was illustrative. Both deal with the issue of false pretense that living a certain life would bring true happiness, which in both cases should that, it didn't. The dismal setting Star is in contrast with the grandeur at which the Necklace is played out. The false hope that we control our own destiny is both misinterpreted by everyone. That is why these two stories, which are about two different subjects, seem to have the same effect on a person, which is depression. Compare and Contrast the Star and The Necklace Glen Gemeniano March 7, 2000 Example Illustration ENG 1A COLE M/1:00pm-4:00pm Bibliography WH AUDEN, The Unknown Citizen Thesis and Dissertations

Sunday, November 24, 2019

Empirical Rule for Mean, Median, and Mode

Empirical Rule for Mean, Median, and Mode Within sets of data, there are a variety of descriptive statistics. The mean, median and mode all give measures of the center of the data, but they calculate this in different ways: The mean is calculated by adding all of the data values together, then dividing by the total number of values.The median is calculated by listing the data values in ascending order, then finding the middle value in the list.The mode is calculated by counting how many times each value occurs. The value that occurs with the highest frequency is the mode. On the surface, it would appear that there is no connection between these three numbers. However, it turns out that there is an empirical relationship between these measures of center. Theoretical vs. Empirical Before we go on, it is important to understand what we are talking about when we refer to an empirical relationship and contrast this with theoretical studies. Some results in statistics and other fields of knowledge can be derived from some previous statements in a theoretical manner. We begin with what we know, and then use logic, mathematics, and deductive reasoning and see where this leads us. The result is a direct consequence of other known facts. Contrasting with the theoretical is the empirical way of acquiring knowledge. Rather than reasoning from already established principles, we can observe the world around us. From these observations, we can then formulate an explanation of what we have seen. Much of science is done in this manner. Experiments give us empirical data. The goal then becomes to formulate an explanation that fits all of the data. Empirical Relationship In statistics, there is a relationship between the mean, median and mode that is empirically based. Observations of countless data sets have shown that most of the time the difference between the mean and the mode is three times the difference between the mean and the median. This relationship in equation form is: Mean – Mode 3(Mean – Median). Example To see the above relationship with real world data, let’s take a look at the U.S. state populations in 2010. In millions, the populations were: California - 36.4, Texas - 23.5, New York - 19.3, Florida - 18.1, Illinois - 12.8, Pennsylvania - 12.4, Ohio - 11.5, Michigan - 10.1, Georgia - 9.4, North Carolina - 8.9, New Jersey - 8.7, Virginia - 7.6, Massachusetts - 6.4, Washington - 6.4, Indiana - 6.3, Arizona - 6.2, Tennessee - 6.0, Missouri - 5.8, Maryland - 5.6, Wisconsin - 5.6, Minnesota - 5.2, Colorado - 4.8, Alabama - 4.6, South Carolina - 4.3, Louisiana - 4.3, Kentucky - 4.2, Oregon - 3.7, Oklahoma - 3.6, Connecticut - 3.5, Iowa - 3.0, Mississippi - 2.9, Arkansas - 2.8, Kansas - 2.8, Utah - 2.6, Nevada - 2.5, New Mexico - 2.0, West Virginia - 1.8, Nebraska - 1.8, Idaho - 1.5, Maine - 1.3, New Hampshire - 1.3, Hawaii - 1.3, Rhode Island - 1.1, Montana - .9, Delaware - .9, South Dakota - .8, Alaska - .7, North Dakota - .6, Vermont - .6, Wyoming - .5 The mean population is 6.0 million. The median population is 4.25 million. The mode is 1.3 million. Now we will calculate the differences from the above: Mean – Mode 6.0 million – 1.3 million 4.7 million.3(Mean – Median) 3(6.0 million – 4.25 million) 3(1.75 million) 5.25 million. While these two differences numbers do not match exactly, they are relatively close to one another. Application There are a couple of applications for the above formula. Suppose that we do not have a list of data values, but do know any two of the mean, median or mode. The above formula could be used to estimate the third unknown quantity. For instance, if we know that we have a mean of 10, a mode of 4, what is the median of our data set? Since Mean – Mode 3(Mean – Median), we can say that 10 – 4 3(10 – Median). By some algebra, we see that 2 (10 – Median), and so the median of our data is 8. Another application of the above formula is in calculating skewness. Since skewness measures the difference between the mean and the mode, we could instead calculate 3(Mean – Mode). To make this quantity dimensionless, we can divide it by the standard deviation to give an alternate means of calculating the skewness than using moments in statistics. A Word of Caution As seen above, the above is not an exact relationship. Instead, it is a good rule of thumb, similar to that of the range rule, which establishes an approximate connection between the standard deviation and range. The mean, median and mode may not fit exactly into the above empirical relationship, but there’s a good chance that it will be reasonably close.

Thursday, November 21, 2019

Empowerment in health Promotion Essay Example | Topics and Well Written Essays - 500 words

Empowerment in health Promotion - Essay Example In most cases, empowerment is usually associated with feminism. These affected persons may be empowered on individual or community levels (Lee 22). Therefore, the person intending to empower either individual or the community must initiate the process by identifying the groups affected and then evaluating the nature of the discrimination involved. Individual empowerment is equally empowering a community since the empowered individual will reflect the same change initiated in the same community thereby affecting the entire community, group, or society. Empowerment often aims at enhancing an individual’s capacity to transform and make an informed choice on the already available choices towards a desired action to effect an appropriate outcome (Linhorst 51). The universal aim of individual empowerment is to initiate an action or process that builds an individual and his collective assets towards improving fairness and efficiency of institutional and organizational contexts that govern the use of the targeted assets (Minkler 59). In healthcare institutions, integrative medicine practitioners often empower individuals to take actives roles towards their own their health care as well as the ultimate decision makers. Moreover, they also encourage their patients to be responsible towards maintaining their individual health. Numerous health care agencies advocate for patient centered health care provision. For instance, according to the National Academy of Science, patients should be given adequate and necessary information as an opportunity for them to exercise a degree of control on their health care decisions. It further argues that health care systems should readily accommodate the differences in the patients’ preferences and encouraging shared decision making among the patients (Linhorst 72). Additionally, patients should be allowed access to their unfettered medical information and clinical knowledge.