pornography right or wronga Essay - 1128 Words

Ashford: Week 3 Assignment 2 Rebecca Ledbetter SOC: 120 Introduction to Ethics Social Responsibility Instructor Brian Addis 10/06/2014 Pornography is one of the most controversy problems that humanity faces daily. It has materialized as a somber threat to the dignity of human sexuality and its deific purpose, perplexing the very nature of man and woman and signifying the falsification of mind in the existing age today. It has infested the purity and pureness of sex promoted dilapidation of humanity and advanced the marketization of sex, among other things. As a controversy problem, the issue of pornography requires a logical analysis and ample reaction. An scrutiny of the†¦show more content†¦And the viewing of women as mere sex objects, rather than a human being, and a complete person. I myself believe that pornography in certain forms can be art, and can be beautiful. A painting from the artist Sandro Botticelli is what I consider pornography that is beautiful. People all over have different views and opinions on this subject of pornography and whether it is morally correct of immorally correct. It is very obvious that some men and some women find pornography pleasurable and find happiness within it. While others believe that it is very unethical to acquire sex for money, and that pornography is hurtful and degrades women. I do however have one question; does anyone out there think that pornography is degradable to men? I believe it is, because not all men view pornography, and not all men that view pornography are violent against women. But when a man is open about his viewing, one automatically thinks that man is capable of rape, or any kind of sexual violence towards women. When looking at pornography from the Deontology theory, which is a no consequentialist ethical theory that claims an act is to be evaluated in terms of its accordance with a specified set of rules. This Deontology theory firmly believes that they have a civil duty to protect women from this type of evil. This theory also says that women are simply used as sexual objects that are being controlled and disrespected. Deontology theory also

The Quest for Inner Beauty in Charlotte Brontes Jane...

The Quest for Inner Beauty in Jane Erye The beauty of a woman is usually classified into two categories: superficial, or physical, beauty and inner, or intellectual, beauty. In the Charlotte Brontes Jane Erye, the protagonist rejects her own physical beauty in favor of her intelligence and morality. This choice allows her to win the hand of the man she desires. Jane values her knowledge and thinking before any of her physical appearances because of her desire as a child to read, the lessons she is taught and the reinforcements of the idea appearing in her adulthood. During the course of the novel she lives at five homes. In each of these places, the idea of inner beauty conquering exterior appearance becomes a lesson, and in†¦show more content†¦Jane Eryes next home emerges as the Lowood Institution where she spends six years of her life learning to become intelligent and morally stringent, while remaining visibly plain. Her lesson of physical and mental humility comes at the hands of Mr. Brocklehurst, the institu tions main benefactor. Upon seeing a girl with natural curls in her hair, he proclaims: My mission is to mortify in these girls the lusts of the flesh, to teach them to clothe themselves with shamefacedness and sobriety (pg. 96). Such a strong influence on Jane, at such an early age, greatly persuades her opinion of her own physical image. She feels her status in life always remains as a humble and inconspicuous servant with a sharp mind and strict morals. In spending six years of her most impressionable years of her life at such a repressive institution, she learns a great deal of humility. Lowood also teaches Jane a great deal by giving her one of the greatest benefits to her life: a good education. Jane spends eight years of her life at Lowood where she, had the means of an excellent education placed within my reach; a fondness for some of my studies, and a desire to excel in all (pg. 115). Her education means more to her than her simple appearance. She had the option of just sliding by in her studies and leaving Lowood as soon as possible. Instead, she remains in a school that stifles any sign of beauty, but gives her a chance toShow MoreRelated Jane Eyre as Feminist Role Model for all Women Essay2450 Words   |  10 PagesJane Eyre as Feminist Role Model for all Women      Ã‚  Ã‚   In 1837 critic Robert Southey wrote to Charlotte Bronte, Literature cannot be the business of a womans life, and it ought not to be.   The more she is engaged in her proper duties, the less leisure will she have for it, even as an accomplishment and a recreation, (Gaskell 102).   This opinion was not held by only one person, but by many.   Indeed, it is this attitude, one that debases women and their abilities, toRead MorePainting Analysis in Jane Eyre3436 Words   |  14 PagesDrawing a Breath of Fresh Eyre From the opening chapter of Charlotte Brontà «Ã¢â‚¬â„¢s Jane Eyre the reader becomes aware of the powerful role that art plays. There is something extraordinary about the pictures Jane admires from other artists, as well as the work she creates herself. Her solitary pastime often operates as an outlet of pain, either past or present, and offers her the opportunity to deal with unpleasant emotions and memories. Jane’s art transcends her isolation by bringing her into contact

Probability and Statistics Educators †Free Samples to Students

Question: Discuss about the Probability and Statistics Educators. Answer: Introduction: As per the 200 sample drawn, simple random sampling has been used as it is believed to eliminate biasness in the population and gives an equal chance to each and every individual to be represented in the sample. Moreover, ransom sampling is also considered one of the widely and popular method of choosing the sample (Brymen Bell, 2015). However, as per my opinion it is considered to be the best method because it is suitable for proper representation of large samples as well as provides ease of use (Johnson Wichern, 2014). In addition, it is based on mathematical concept of probability and is not much extensive of the detailed information. Alcohol Meals Fuel Phone Mean 1092.39 1067.13 1790.73 1348.785 Mode 0 0 0 1200 Median 522 720 1440 1080 Standard Deviation 1372.434 1332.688 1587.192 1245.331 Standard Error 97.04572 94.23528 112.2314 88.05819 Sample Variance 1883574 1776057 2519179 1550849 Range 10428 9600 10320 8400 Minimum 0 0 0 0 Maximum 10428 9600 10320 8400 Skewness 2.360175 3.060723 1.82877 3.11862 Kurtosis 10.24997 12.4977 5.042528 13.6592 Confidence Level(95.0%) 191.3699 185.8279 221.3155 173.6469 Sum 218478 213426 358146 269757 Table 1.1: Descriptive Statistics of Variables The appropriate measure of variation that could be considered in this case is standard deviation because all the variables are the expenditure incurred. Moreover, standard deviation helps in studying the variability in the data (Cressie, 2015). As per the data, fuel shows the maximum deviation which is 1587.19 AUD of the annual expenditure followed by alcohol and meals and the least deviation in annual expenditure on phone that is 1245.33 AUD. In addition, this shows the variability experienced from the mean which further depicts the distance from the mean (Ravid, 2014). However, less deviation indicates that there less fluctuation in the amount of expenditure done (in this case) and vice versa. The box plots as given part 2 of the question highlights that the variability is maximum in fuels followed by alcohol from the upper quartile and median. Moreover, as per the expenditure on the data distribution, the data has been shown to be less in lower quartile than in upper quartile (Hahs-Vaughn Lomax, 2013). Also, through descriptive statistics, for all the four variables that is alcohol, meals, fuels and phone, the mean median mode. This depicts the data is slightly higher in the end tail (positive skewed / upper quartile of box plot). Conversely, it underlines annual expenditure on these four highlighted variables is high. Classes Frequency Percentage Cumulative % 0-400 25 12.50% 12.50% 400-800 51 25.50% 38.00% 800-1200 54 27.00% 65.00% 1200-1600 28 14.00% 79.00% 1600-2000 13 6.50% 85.50% 2000-2400 13 6.50% 92.00% 2400-2800 6 3.00% 95.00% 2800-3200 5 2.50% 97.50% More than 3200 5 2.50% 100.00% Table 2.1: Frequency distribution of the expenditures onUtilities The interpretation of histogram emphasizes that the sample on annual expenditures on utilities is not normally distributed because for normal distribution. This is primarily because in normal distribution mean = mode = median (Mendenhall, Beaver Beaver, 2012). On the contrary, this household data on expenditure can be mathematically depicted as Mean on Utilities 1233 Median on Utilities 1000 Mode on Utilities 1000 Table 2.2: Central Tendency Application on Utilities Therefore, Mean median = mode, which shows variation in data highlighting positive skewness (Corder Foreman, 2014). However, on histogram the data is accumulated on the left side of the histogram (Refer Task 2 of excel sheet). The same can be illustrated through a histogram below. The ln(texp) againstln(ataxinc) is explained using a scatter lot as shown below in Figure 3.1. Moreover, the scatter is in form of upload sloping and scattered at one place only. Also, the correlation between the log of after tax annual income and total expenditure is r = 0.994513 highlighting the relationship between both the variables is high as the r is between 0.5 and 1 which shows strong and positive correlation. Highest Degree Gender Female Male Bachelor 20 15 Intermediate 18 32 Master 15 16 Primary 16 23 Secondary 23 22 Total 92 108 Table 4.1: Contingency Table The contingency table explains that higher education for the males as well as females. The higher level of education accompanies bachelors degree and masters degree. However, as per the data females count is (15+20) 35 whereas for males is (16+15) 31. This depicts that households have stark contrast in higher level of education amongst the males and females. Highest Degree Gender Female Male Total Bachelor 0.100 0.075 0.175 Intermediate 0.090 0.160 0.250 Master 0.075 0.080 0.155 Primary 0.080 0.115 0.195 Secondary 0.115 0.110 0.225 Total 0.460 0.540 1.000 It can be seen that Pr (A)*Pr (B) Pr (AB) However, it can be further concluded that the two variables Gender = Male and Level of Education = Masters Degree are not dependent in nature. Moreover, their probabilities not being equal make them dependent. References Bryman, A., Bell, E. (2015).Business research methods. Oxford University Press, USA. Corder, G. W., Foreman, D. I. (2014).Nonparametric statistics: A step-by-step approach. John Wiley Sons. Cressie, N. (2015).Statistics for spatial data. John Wiley Sons. Hahs-Vaughn, D. L., Lomax, R. G. (2013).An introduction to statistical concepts. Routledge. Johnson, R. A., Wichern, D. W. (2014).Applied multivariate statistical analysis(Vol. 4). New Jersey: Prentice-Hall. Mendenhall, W., Beaver, R. J., Beaver, B. M. (2012).Introduction to probability and statistics. Cengage Learning. Ravid, R. (2014).Practical statistics for educators. Rowman Littlefield.