Three Tragic Heroes in Mary Shelleys Frankenstein Essay

In Mary Shelley’s novel, Frankenstein, Robert Walton, Victor Frankenstein, and Frankenstein’s Creation reach similar conclusions humanity by seafaring to the North Pole, delving into the dark depths of science, and observing the rejecting nature of humans. The three tragic heroes Walton, Frankenstein and the Creation are all character doubles in their initial enthusiasm for knowledge, inner dualist personalities, religiously glorified personal goals, possessive relationships and negative effects of gaining knowledge. The three character’s views of humanity are a microcosm of the culturally accepted importance of beauty, and how the culmination of knowledge can be blinding and lead to utter ruination. Robert Walton explores the North†¦show more content†¦The combination of his own motivation and the encouragement of his professor Waldman, Frankenstein possesses a â€Å"supernatural enthusiasm† for the study of galvanism and has no check on reality except for the disapproval of his father (Shelley 56). Frankenstein thinks that he can ‘play God’ in his studies at Ingolstadt and is a â€Å"disciple† of the ‘religion’ of galvanism that Waldman preaches (Shelley 54). Frankenstein believes that his exploration in the â€Å"hiding-places† of nature was a heavenly and glorified thing, however it turns out to be â€Å"thing such as Dante could not have conceived,† and is more related to hell than the pursuits of God (Shelley 58, 61). Frankenstein uses his power to mock God, and insinuates his power of making ‘life’ equal to God’s power of creating human birth. This mockery of God causes his own ruination, and thus loses his family and friends to the one thing he throws his whole life away on, the Creation. The Creation’s first knowledge of mankind is that humanity will only accept him if he is physically appealing because of the initial rejection from his creator, Frankenstein. Thus, the Creation or ‘monster’ devotes himself to learning how to make his ‘protectors,’ or the De Lacy Family, his friends through reason. He gathers wood for the family and stops stealing their food, demonstratingShow MoreRelatedVictor Frankenstein: Epic Hero Essay1093 Words   |  5 Pages the zombie era is truly coming to life, and it is easy to figure out where this idea originated. The historic book Frankenstein: The Modern Prometheus by Mary Shelley describes a man who creates a creature out of dead body parts of humans. Although this monster was meant for good purposes, it eventually leads to destruction including multiple murders. However, Victor Frankenstein can actually be determined as a hero by the ways in which he fits within the interpretation of an epic hero. GregoryRead MoreThe Development and Change of the Monster in Mary Shelleys Frankenstein3845 Words   |  16 PagesChange of the Monster in Mary Shelleys Frankenstein The structure of Frankenstein begins as an epistolary, narrative story by Robert Walton to his sister (Mrs Saville) in England. Walton’s letters tell us that he is exploring, searching for what lies beyond the North Pole and that he longs for fame and glory. Walton and Frankenstein connect in this novel as they both seek and have a thirst for knowledge. For Walton it is his exploration, for Frankenstein it is to discover

Browne, M. N., Keeley, S.M. (2010). Asking the right...

Browne, M. N., Keeley, S.M. (2010). Asking the right questions: A guide to critical thinking (10th ed.). Upper Saddle River, NJ: Pearson/Prentice Hall. Asking the Right Questions-11 Step Analysis Introduction â€Å"I know it’s good to be a critical thinker and to be able to ask lots of good questions, but I don’t know what questions to ask or how to ask them.† (Browne Keeley, 2011) In our text â€Å"Asking the Right Questions: A Guide to Critical Thinking (10th Ed.) The authors explore the benefits and necessity for critical thinking as it relates to the process of asking the right questions to make an informed decision and conclusion to an argument. The authors Browne and Keeley (2011) give two different approaches that can be taken in†¦show more content†¦Lastly, Mary states that the proposal will not save any money. III. Which words or phrases are ambiguous? We often misunderstand what we read or hear because we presume that the meanings of the words are obvious (Browne Keeley, 2011). When reading or listening to someone’s arguments and reasons you must force yourself to search for ambiguity. Within any argument that is read or heard there will always be obstacles. One obstacle is that many people assume that what they understand or think is the same as the author. The second obstacle is that people assume that words only have one single meaning (Browne Keeley, 2011). In overcoming these obstacles, you must ask yourself â€Å"what do you mean by that† or â€Å"could any of these words or phrases have a different meaning† (Browne Keeley, 2011). I find the entire conclusion to be somewhat ambiguous. Within the conclusion I have identified the word â€Å"challenge† as a key word that makes the statement ambiguous. In one instance to â€Å"challenge the proposal could mean to fight, confront or defy boldly, bu t in another context it could mean to formally question the legality or validity of the proposal. So what exactly does Mary mean by â€Å"challenge?† Another ambiguous phrase that I have identified is â€Å"lower wages.† Without specific information and evidence of wages for all members this can mean a multitude of things. Lower wages could be as lowShow MoreRelatedMatthew Paul Individual Paper 12225 Words   |  9 PagesIndividual Paper 1 – Critical Thinking and Communication Skills By Matthew Paul DMBA 610 Professor Kennedy Introduction In this paper, I will analyze the memo by applying the steps of the critical thinking model discussed in Asking the Right Questions to assess the arguments made. Among the other tasks I had to make, I will not just analyze the memo but I will evaluate the author’s argument as objectively as possible. I will also provide a thorough evaluation of theRead More DMBA 610 W2 Critical Thinking Assignment2033 Words   |  9 Pagesopinion, after reading Browne and Keeley’s Asking the Right Questions (2012), that adopting a critical thinking approach is the most effective way to evaluate the document. Using a critical thinking approach to evaluate this business document will help a reader to know when to accept and when to reject information they are presented. The reader knows that information that passes the critical thinking questions they ask is worth accepting. Implementing strong-sense critical thinking and using the same

Sensory Marketing and Simran Powar Samples †MyAssignmenthelp.com

Question: Discuss about the Kaela Ovington, Lovepreet Gill, Simran Powar, Emmanuel Elibe Final Project: Sensory Marketing. Answer: Marketing Consumer Behavior According to a research done by an olfactory scientist, Pamela Dalton, approximately 75% of peoples emotions are as a result of sensing of smell. She argues that people feel the smell first after which it is sent to brain centres of memories and emotions. It is important to use the sense of smell to awaken experiences as well as memories (2). Despite the dominance of themarketing sector by the optical media, consumers experience emotionally a large proportion of impressions through smell. This enables the businesses to come up with a unique brand identity that differentiates them from their competitors, and at the same time, it helps them communicate with their esteemed customers through greatest human senses, that is, olfaction. Smells reach the brain faster compared to other senses. Therefore, they perform a very important role in shaping the customers purchasing decision. This helps the business to create a much-needed bond with their customers (1). A good smell can help the business grow like in the case of Starbucks and Air Aroma where the strategies they implemented became successful hence, attracting consumers. However, choosing a complicated or wrong scent can turn off consumers (1). Therefore, it is important to choose a fragrance that is simple. Alternatively, the business can decide to involve the consumers in choosing the scent that smells good according to many of them. This will also make the customers feel that the company values them through involvement in such decisions as that of choosing a given fragrance for the company. Smell influences memories hence, scent marketing can help a company reach greater heights by making its brand unforgettable through scent marketing. References Rimkute, J., Moraes, C., Ferreira, C. (2016). The effects of scent on consumer behaviour. International Journal of Consumer Studies, 40(1), 24-34. Van Bommel, T. The Definite Guide to Scent Marketing. 2016, Available from: https://www.newneuromarketing.com/the-definitive-guide-to-scent-marketing

Statistics Essay Example For Students

Statistics Essay From the reading that Ive been doing on polling it seems that everything has some effect on the results. It seems like most of the polling biases come from the question and the questioner. If the question leads you to think about something else, whether it be positive or negative, it can change the results of the answer. If the person conducting the poll has an opinion of the question they can shape the outcome. Also the gender of the person conducting the poll can change the answer. Also, sometimes if people arent completely sure they might just say whats on the top of their mind without giving it any serious consideration. Even something as minute as the time of day can effect a poll. If you call between 5:30 and 9:00 you leave out everyone that has to work during that time. Many people dont really want to take the time to answer polls so the results only come from those who are willing to participate. In order to remove the bias pollsters have adopted many new polling techniques. They try to conduct most of their polls over the telephone so they dont have physical contact with the person they are polling. We will write a custom essay on Statistics specifically for you for only $16.38 $13.9/page Order now This is good because then any preconceptions about race, or lifestyle are not brought into play. It is a disadvantage sometimes because you rely on the person on the other end of the line to provide accurate information about themselves, or they might answer differently depending on whether or not its a man or woman asking the questions. Also with telephone polls they use a random number generator to get phone numbers. This is good because it provides the most random group of phone number, but at the same time it can provide numbers of people who may be very indifferent of the subject or do not speak English well enough to answer the question. Pollsters try and arrange the questions so that one does not effect the other. This is good because it helps cut down on spur of the moment responses. The disadvantage is that unless you only have one question it can be nearly impossible to arrange questions in an order that is totally unbiased. Bibliography: . Statistics Essay Example For Students Statistics Essay Introduction Statistics Essay are used everyday in life, and are very important in the everyday world. One important use of statistics is to summarize a collection of data in a clear and understandable way. For example, if a psychologist gave a personality test measuring shyness to all 2500 students attending a small college, How might these measurements be summarized? There are two basic methods: numerical and graphical. Using the numerical approach one might compute statistics such as mean and standard deviation. These statistics convey information about the average degree of shyness and the degree to which people differ in shyness. We will write a custom essay on Statistics specifically for you for only $16.38 $13.9/page Order now Using the graphical approach you could create a stem and leaf display and a box plot. These plots contain detailed information about the distribution of shyness scores. Graphical methods are better than numerical methods for identifying patterns in the data. Numerical approaches are more accurate and objective. Since the numerical and graphical approaches compliment each other, you should use both. Inferential statistics Inferential statistics are used to draw inferences about a population from a sample. An example is, if ten people who performed a task after twenty-four hours without sleep scored 12 points lower than ten people who performed after a normal nights sleep. Is the difference real or could it be due to chance? How much larger could the real difference be than the 12 points? These are the types of questions answered by inferential statistics. There are two main methods used in inferential statistics: estimation and hypothesis testing. In estimation, the sample is used to estimate a parameter and a confidence interval about the estimate is constructed. In the most common use of hypothesis testing, a straw man null hypothesis is put forward and it is determined whether the data are strong enough to reject it. For the sleep deprivation study, the null hypothesis would be that sleep deprivation has no effect on performance. The word statistics is used in several different senses. In the broadest sense, statistics refers to a range of techniques and procedures for analyzing data, interpreting data, displaying data, and making decisions based on data. This is what courses in statistics generally cover. In a second use, a statistic is defined as a numerical quantity (such as the mean) calculated in a sample. Such statistics are used to estimate parameters. The term statistics sometimes refers to calculated quantities regardless of whether or not they are from a sample. For example, one might ask about a baseball players statistics and be referring to his or her batting average, runs batted in, number of home runs, etc. Although the different meanings of statistics can be confusing, a careful consideration of the context in which the word is used should make its intended meaning clear. Parameters A parameter is a numerical quantity measuring some aspect of a population of scores. For example, the mean is a measure of central tendency. Greek letters are used to designate parameters.. Parameters are rarely known and are usually estimated by statistics computed in samples. To the right of each Greek symbol is the symbol for the associated statistic used to estimate it from a sample. Measurement Scales Measurement is the assignment of numbers to objects or events in a systematic fashion. Four levels of measurement scales are commonly distinguished: nominal ordinal, interval, and ratio. There is a relationship between the level of measurement and the appropriateness of various statistical procedures. For example, it would be silly to compute the mean of nominal measurements. Frequency polygon A frequency polygon is constructed from a frequency table. The intervals are shown on the X-axis and the number of scores in each interval is represented by the height of a point located above the middle of the interval. The points are connected so that together with the X-axis they form a polygon. .u1d695a8230c232529a0734f32dfcb064 , .u1d695a8230c232529a0734f32dfcb064 .postImageUrl , .u1d695a8230c232529a0734f32dfcb064 .centered-text-area { min-height: 80px; position: relative; } .u1d695a8230c232529a0734f32dfcb064 , .u1d695a8230c232529a0734f32dfcb064:hover , .u1d695a8230c232529a0734f32dfcb064:visited , .u1d695a8230c232529a0734f32dfcb064:active { border:0!important; } .u1d695a8230c232529a0734f32dfcb064 .clearfix:after { content: ""; display: table; clear: both; } .u1d695a8230c232529a0734f32dfcb064 { display: block; transition: background-color 250ms; webkit-transition: background-color 250ms; width: 100%; opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #95A5A6; } .u1d695a8230c232529a0734f32dfcb064:active , .u1d695a8230c232529a0734f32dfcb064:hover { opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #2C3E50; } .u1d695a8230c232529a0734f32dfcb064 .centered-text-area { width: 100%; position: relative ; } .u1d695a8230c232529a0734f32dfcb064 .ctaText { border-bottom: 0 solid #fff; color: #2980B9; font-size: 16px; font-weight: bold; margin: 0; padding: 0; text-decoration: underline; } .u1d695a8230c232529a0734f32dfcb064 .postTitle { color: #FFFFFF; font-size: 16px; font-weight: 600; margin: 0; padding: 0; width: 100%; } .u1d695a8230c232529a0734f32dfcb064 .ctaButton { background-color: #7F8C8D!important; color: #2980B9; border: none; border-radius: 3px; box-shadow: none; font-size: 14px; font-weight: bold; line-height: 26px; moz-border-radius: 3px; text-align: center; text-decoration: none; text-shadow: none; width: 80px; min-height: 80px; background: url(https://artscolumbia.org/wp-content/plugins/intelly-related-posts/assets/images/simple-arrow.png)no-repeat; position: absolute; right: 0; top: 0; } .u1d695a8230c232529a0734f32dfcb064:hover .ctaButton { background-color: #34495E!important; } .u1d695a8230c232529a0734f32dfcb064 .centered-text { display: table; height: 80px; padding-left : 18px; top: 0; } .u1d695a8230c232529a0734f32dfcb064 .u1d695a8230c232529a0734f32dfcb064-content { display: table-cell; margin: 0; padding: 0; padding-right: 108px; position: relative; vertical-align: middle; width: 100%; } .u1d695a8230c232529a0734f32dfcb064:after { content: ""; display: block; clear: both; } READ: The Kite Runner by Khaled Hosseini Essay Arithmetic Mean The arithmetic mean is what is commonly called the average: When the word mean is used without a modifier, it can be assumed that it refers to the arithmetic mean. The mean is the sum of all the scores divided by the number of scores. The formula in summation notation is: mean where is the population mean and N is the number . Statistics Essay Example For Students Statistics Essay Question 1 Spearman rank-order Correlation * Used as scores on both variables are in the form of ranks. * The observations on each variable are between-subjects in nature. Formula for Spearmans rank-order Correlations R = 1 V 6 D N(N V1) Hypothesis: H : = A=B The ranks of A and B are significantly related We will write a custom essay on Statistics specifically for you for only $16.38 $13.9/page Order now H : = A=B There is no significant relationship between ranks A and B. ReelABDD 134-11 25500 313-24 44139 567-11 67611 72200 D = 16 = 1- 6 D N(N -1) = 1- (6) (16) 7 (7 -1) = 1- 96 336 = 1- 0.286 = 0. 714 Critical value for Spearmans r: r = 1 A spearman rank-order Correlation addressed the relationship between rank-order scores for a new model fishing reel between Magazine A and Magazine B. For an alpha level of .05, the observed correlation was found to be significantly significant (r (5) = .071, p . Statistics Essay Example For Students Statistics Essay Do you have a friend or relative that has problems with their boyfriend or girlfriend, wife or husband? These types of relationships are very common in society. Lots of couples are together for all the wrong reasons. Some of the reasons are attraction, money, lonely, family, friends, and blind love. For example, your friend has been going out with a very beautiful lady for one year. Every time you see them they are fighting over some ridiculous event or thing. You wonder how these two stay together. Some of the reasons that they have fought are we dont spend enough time together: when in fact every moment they have free, they are together. If they are not together they are on the phone constantly. This is when someone needs to let go and realize that they are not meant for each other. People are scared to let go because of many reasons. When looking at the problems, you would wonder, how can they help someone that is not willing to change or take on knew responsibility as a single person. We will write a custom essay on Statistics specifically for you for only $16.38 $13.9/page Order now This paper will give some suggestions to answering this question and help understand the Cognitive approach therapy. First lets define cognitive therapy. Cognitive therapy comes from the word cognition. Cognition is defined (Arthur p.133) as a broad term traditionally used to refer to such activities as thinking, conceiving and reasoning. Many psychologists have used it to refer to any class of mental behaviors. The underlying characteristics are of an abstract and involve symbolizing, insight, expectancy, complex rule use, imagery, belief, intentionality, problem solving, and so forth. Aaron T. Beck was the developer of cognitive therapy. He based Cognitive Therapy on the notion of how people structured and interrupted their behaviors, and directing behaviors towards negative and positive emotions. A question brought to our attention is the word relationship. What does relationship mean? Relation is a sense of commitment to another person. So why are relationships so hard to handle for people. From talking to friends, watching television and reading magazines many say that love keeps people together. But if you think about the relationships some people stay in relationships that are not very loving and happy. People are arguing, fighting and having other relations. These types of relationships are not healthy at all. Barry Lubetkin and Elena Oumando say the most common reason why people do not bail out, get out of a bad relationship is due to the fact that they are in fear on certain aspects of life. You must be able to identify and challenge the fears and their core cognitive components that keep you stuck. On this paper (Lubetkin and Oumando p.50) it is to believe an irrational cognitive component is the basis of every fear you have; it is what fuels it and keeps it viable. The descriptions of (Lubetkin and Elena p.51-60) are the twelve syndromes people go threw when they are in fear of ending a relationship. The paper will give six of Lubetkin and Elena twelve syndromes that were the best-situated fears, 1)The Robinson Crusoe Syndrome, the fear that you cannot survive or function alone, that some dreadful consequence will befall you if you try to function independently. 2)The Once Bit, Twice Shy Syndrome, you that a second failure after bailing out would be even more devastating than the first. 3)The Old Maid Aunt Syndrome, your fear in losing friends that you have made as a couple and losing the status you made as a couple. 4)The Black Sheep Syndrome, you fear disapproval from friends, children, relatives, and your partners parents. 5)The Last Chance Syndrome, you are in fear that you will not find anyone else thinking that you are undesirable creep and lucked into the relationship. 6)The Weak Sister Syndrome, when you try to break it off but you them make the decision, because you are afraid of your partner. From a persons perspective, these characteristics linger in relationships until someone builds the courage to end it. .ude216658fa41f5c1ca9ac7d70038f9d3 , .ude216658fa41f5c1ca9ac7d70038f9d3 .postImageUrl , .ude216658fa41f5c1ca9ac7d70038f9d3 .centered-text-area { min-height: 80px; position: relative; } .ude216658fa41f5c1ca9ac7d70038f9d3 , .ude216658fa41f5c1ca9ac7d70038f9d3:hover , .ude216658fa41f5c1ca9ac7d70038f9d3:visited , .ude216658fa41f5c1ca9ac7d70038f9d3:active { border:0!important; } .ude216658fa41f5c1ca9ac7d70038f9d3 .clearfix:after { content: ""; display: table; clear: both; } .ude216658fa41f5c1ca9ac7d70038f9d3 { display: block; transition: background-color 250ms; webkit-transition: background-color 250ms; width: 100%; opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #95A5A6; } .ude216658fa41f5c1ca9ac7d70038f9d3:active , .ude216658fa41f5c1ca9ac7d70038f9d3:hover { opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #2C3E50; } .ude216658fa41f5c1ca9ac7d70038f9d3 .centered-text-area { width: 100%; position: relative ; } .ude216658fa41f5c1ca9ac7d70038f9d3 .ctaText { border-bottom: 0 solid #fff; color: #2980B9; font-size: 16px; font-weight: bold; margin: 0; padding: 0; text-decoration: underline; } .ude216658fa41f5c1ca9ac7d70038f9d3 .postTitle { color: #FFFFFF; font-size: 16px; font-weight: 600; margin: 0; padding: 0; width: 100%; } .ude216658fa41f5c1ca9ac7d70038f9d3 .ctaButton { background-color: #7F8C8D!important; color: #2980B9; border: none; border-radius: 3px; box-shadow: none; font-size: 14px; font-weight: bold; line-height: 26px; moz-border-radius: 3px; text-align: center; text-decoration: none; text-shadow: none; width: 80px; min-height: 80px; background: url(https://artscolumbia.org/wp-content/plugins/intelly-related-posts/assets/images/simple-arrow.png)no-repeat; position: absolute; right: 0; top: 0; } .ude216658fa41f5c1ca9ac7d70038f9d3:hover .ctaButton { background-color: #34495E!important; } .ude216658fa41f5c1ca9ac7d70038f9d3 .centered-text { display: table; height: 80px; padding-left : 18px; top: 0; } .ude216658fa41f5c1ca9ac7d70038f9d3 .ude216658fa41f5c1ca9ac7d70038f9d3-content { display: table-cell; margin: 0; padding: 0; padding-right: 108px; position: relative; vertical-align: middle; width: 100%; } .ude216658fa41f5c1ca9ac7d70038f9d3:after { content: ""; display: block; clear: both; } READ: Oppression Argumentative Essay Lets Discuss the Robinson Crusoe Syndrome. The (RC) syndrome described by (Lubetkin and Omando) Are problems of such, imagery of all the horrendous possibilities that will occur when you are stranded on the desert island of . Statistics Essay Example For Students Statistics Essay Research Project Problem Statement: Would restrictions on young drivers in New York State save lives? Discussion: For teenagers obtaining a drivers license is a dream come true. A drivers license means freedom, fun, and becoming an adult. For the parents of these teenagers this event brings images of speeding cars and car crashes. When young people (ages 15-19) are in the beginning stages of driving, they are inexperienced and have poor judgment. Young drivers are less responsive in hazardous situations, have difficulty obtaining control of a vehicle, and managing speed control. We will write a custom essay on Statistics specifically for you for only $16.38 $13.9/page Order now Due to teenagers lack of experience and over confidence, the chances of young drivers being in an automobile accident are increased by several factors. First, in New York State a 16-year old can apply for a driving permit and make an appointment for a road test on the same day. It is recommended that a driver has 30 hours of practice, but these are not requirements. If this 16-year old driver takes a five-hour training course, they are given a license that has no restrictions. Second, teens are more likely to take risks when they drive, particularly by speeding and making improper lane changers. Risk taking appears to play a greater role in the crashes of younger drivers than in those of middle-aged or older drivers. Young people are at the stage in their lives when they not only feel invulnerable to physical injuries or death, but are also struggling for independence from their parents. Third, when we look at studies of motor vehicle crashes we tend to focus on the driver. However, a very big problem involves the passengers in the young drivers vehicle. These passengers help contribute to the overall problem by distracting the driver directly or indirectly. Instead of the driver focusing on his or her driving, they can become involved in a conversation with the other passengers. There are many other ways in which a driver can be distracted, some of these distractions are: changing the controls inside the vehicle, making calls on a cell phone, changing the cd or tape cassette, and reading directions. While such distractions are bad for drivers of any age or experience level, these distractions can be magnified due to a young drivers lack of experience. This study will investigate whether or not the fatality rate of drivers in the age group 15-20 year olds have the highest fatality rate amongst all drivers. If this age group is significantly higher then the other age groups, the study will recommend that during the first year of driving, new drivers should have restrictions. These restrictions would include: a nighttime curfew, and restrictions on the number and age of passengers. This type of program would limit the opportunities for immature behavior, such as partying in the car or cruising. With this type of plan in place, it would allow teens the accessibility and mobility of having a drivers license, but at the same time it gives these new drivers the opportunity to get the much needed experience. Teenagers not only experience higher crash rates than other age groups there crashers are different. Teenage drivers are more likely to be at fault in their crashes. Teen crashes and violations are more likely to involve speeding. Teens are also more likely than drivers of other ages to be in single-vehicle fatal crashes. Data Collection: Fatal Crashes from 2000 collected by U.S. Department of Transportations study, Divers Involved in Fatal Crashes and Driver Involvement Rates by Age Group. Population: Drivers involved in fatal crashes in 2000 Contrast Group: Drivers of various age groups Sample: All drivers involved in fatal crashes in 2000 Independent Variable: Age Group Attributes: (15-20, 21-24, 25-34, 35-44, 45-54, 55-64, 65-69, 70+) Dependent Variable: Drivers Involved in Fatal Crashes Attribute: (Percent) Data Description. .ue2af1241909caa8faee363554fdc0d07 , .ue2af1241909caa8faee363554fdc0d07 .postImageUrl , .ue2af1241909caa8faee363554fdc0d07 .centered-text-area { min-height: 80px; position: relative; } .ue2af1241909caa8faee363554fdc0d07 , .ue2af1241909caa8faee363554fdc0d07:hover , .ue2af1241909caa8faee363554fdc0d07:visited , .ue2af1241909caa8faee363554fdc0d07:active { border:0!important; } .ue2af1241909caa8faee363554fdc0d07 .clearfix:after { content: ""; display: table; clear: both; } .ue2af1241909caa8faee363554fdc0d07 { display: block; transition: background-color 250ms; webkit-transition: background-color 250ms; width: 100%; opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #95A5A6; } .ue2af1241909caa8faee363554fdc0d07:active , .ue2af1241909caa8faee363554fdc0d07:hover { opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #2C3E50; } .ue2af1241909caa8faee363554fdc0d07 .centered-text-area { width: 100%; position: relative ; } .ue2af1241909caa8faee363554fdc0d07 .ctaText { border-bottom: 0 solid #fff; color: #2980B9; font-size: 16px; font-weight: bold; margin: 0; padding: 0; text-decoration: underline; } .ue2af1241909caa8faee363554fdc0d07 .postTitle { color: #FFFFFF; font-size: 16px; font-weight: 600; margin: 0; padding: 0; width: 100%; } .ue2af1241909caa8faee363554fdc0d07 .ctaButton { background-color: #7F8C8D!important; color: #2980B9; border: none; border-radius: 3px; box-shadow: none; font-size: 14px; font-weight: bold; line-height: 26px; moz-border-radius: 3px; text-align: center; text-decoration: none; text-shadow: none; width: 80px; min-height: 80px; background: url(https://artscolumbia.org/wp-content/plugins/intelly-related-posts/assets/images/simple-arrow.png)no-repeat; position: absolute; right: 0; top: 0; } .ue2af1241909caa8faee363554fdc0d07:hover .ctaButton { background-color: #34495E!important; } .ue2af1241909caa8faee363554fdc0d07 .centered-text { display: table; height: 80px; padding-left : 18px; top: 0; } .ue2af1241909caa8faee363554fdc0d07 .ue2af1241909caa8faee363554fdc0d07-content { display: table-cell; margin: 0; padding: 0; padding-right: 108px; position: relative; vertical-align: middle; width: 100%; } .ue2af1241909caa8faee363554fdc0d07:after { content: ""; display: block; clear: both; } READ: Observation 500 EssayTable 1. Fatal Crashes for 2001 by Age Group Age Group (Years) 15-2021-2425-3435-4445-5455-6465-6970+Total 2000 Population (Percent)8.75.213. 616.313.58.73.49.278. 6 Single-Vehicle18.512.821.518.912.67. 12.25.999.5 Multi-Vehicle12.39.220. 420.215.69.23.09.899. 7 All Fatal Crashes14.610.520.819.714.68. 42.78.499.7 Fatal Crashes per 100,000 Licensed Drivers64.745.232. 126.422.220.919.726.8 The following grouped bar chart shows the data in graphical terms. Figure 1. Fatal Crashes for 2001 by Age Group . Statistics Essay Example For Students Statistics Essay Introduction Statistics Essay are used everyday in life, and are very important in the everyday world. One important use of statistics is to summarize a collection of data in a clear and understandable way. For example, if a psychologist gave a personality test measuring shyness to all 2500 students attending a small college, How might these measurements be summarized? There are two basic methods: numerical and graphical. Using the numerical approach one might compute statistics such as mean and standard deviation. These statistics convey information about the average degree of shyness and the degree to which people differ in shyness. We will write a custom essay on Statistics specifically for you for only $16.38 $13.9/page Order now Using the graphical approach you could create a stem and leaf display and a box plot. These plots contain detailed information about the distribution of shyness scores. Graphical methods are better than numerical methods for identifying patterns in the data. Numerical approaches are more accurate and objective. Since the numerical and graphical approaches compliment each other, you should use both. Inferential statistics Inferential statistics are used to draw inferences about a population from a sample. An example is, if ten people who performed a task after twenty-four hours without sleep scored 12 points lower than ten people who performed after a normal nights sleep. Is the difference real or could it be due to chance? How much larger could the real difference be than the 12 points? These are the types of questions answered by inferential statistics. There are two main methods used in inferential statistics: estimation and hypothesis testing. In estimation, the sample is used to estimate a parameter and a confidence interval about the estimate is constructed. In the most common use of hypothesis testing, a straw man null hypothesis is put forward and it is determined whether the data are strong enough to reject it. For the sleep deprivation study, the null hypothesis would be that sleep deprivation has no effect on performance. The word statistics is used in several different senses. In the broadest sense, statistics refers to a range of techniques and procedures for analyzing data, interpreting data, displaying data, and making decisions based on data. This is what courses in statistics generally cover. In a second use, a statistic is defined as a numerical quantity (such as the mean) calculated in a sample. Such statistics are used to estimate parameters. The term statistics sometimes refers to calculated quantities regardless of whether or not they are from a sample. For example, one might ask about a baseball players statistics and be referring to his or her batting average, runs batted in, number of home runs, etc. Although the different meanings of statistics can be confusing, a careful consideration of the context in which the word is used should make its intended meaning clear. Parameters A parameter is a numerical quantity measuring some aspect of a population of scores. For example, the mean is a measure of central tendency. Greek letters are used to designate parameters.. Parameters are rarely known and are usually estimated by statistics computed in samples. To the right of each Greek symbol is the symbol for the associated statistic used to estimate it from a sample. Measurement Scales Measurement is the assignment of numbers to objects or events in a systematic fashion. Four levels of measurement scales are commonly distinguished: nominal ordinal, interval, and ratio. There is a relationship between the level of measurement and the appropriateness of various statistical procedures. For example, it would be silly to compute the mean of nominal measurements. Frequency polygon A frequency polygon is constructed from a frequency table. The intervals are shown on the X-axis and the number of scores in each interval is represented by the height of a point located above the middle of the interval. The points are connected so that together with the X-axis they form a polygon. .u21cba192de9ea2c2d6b74743acd0ed01 , .u21cba192de9ea2c2d6b74743acd0ed01 .postImageUrl , .u21cba192de9ea2c2d6b74743acd0ed01 .centered-text-area { min-height: 80px; position: relative; } .u21cba192de9ea2c2d6b74743acd0ed01 , .u21cba192de9ea2c2d6b74743acd0ed01:hover , .u21cba192de9ea2c2d6b74743acd0ed01:visited , .u21cba192de9ea2c2d6b74743acd0ed01:active { border:0!important; } .u21cba192de9ea2c2d6b74743acd0ed01 .clearfix:after { content: ""; display: table; clear: both; } .u21cba192de9ea2c2d6b74743acd0ed01 { display: block; transition: background-color 250ms; webkit-transition: background-color 250ms; width: 100%; opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #95A5A6; } .u21cba192de9ea2c2d6b74743acd0ed01:active , .u21cba192de9ea2c2d6b74743acd0ed01:hover { opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #2C3E50; } .u21cba192de9ea2c2d6b74743acd0ed01 .centered-text-area { width: 100%; position: relative ; } .u21cba192de9ea2c2d6b74743acd0ed01 .ctaText { border-bottom: 0 solid #fff; color: #2980B9; font-size: 16px; font-weight: bold; margin: 0; padding: 0; text-decoration: underline; } .u21cba192de9ea2c2d6b74743acd0ed01 .postTitle { color: #FFFFFF; font-size: 16px; font-weight: 600; margin: 0; padding: 0; width: 100%; } .u21cba192de9ea2c2d6b74743acd0ed01 .ctaButton { background-color: #7F8C8D!important; color: #2980B9; border: none; border-radius: 3px; box-shadow: none; font-size: 14px; font-weight: bold; line-height: 26px; moz-border-radius: 3px; text-align: center; text-decoration: none; text-shadow: none; width: 80px; min-height: 80px; background: url(https://artscolumbia.org/wp-content/plugins/intelly-related-posts/assets/images/simple-arrow.png)no-repeat; position: absolute; right: 0; top: 0; } .u21cba192de9ea2c2d6b74743acd0ed01:hover .ctaButton { background-color: #34495E!important; } .u21cba192de9ea2c2d6b74743acd0ed01 .centered-text { display: table; height: 80px; padding-left : 18px; top: 0; } .u21cba192de9ea2c2d6b74743acd0ed01 .u21cba192de9ea2c2d6b74743acd0ed01-content { display: table-cell; margin: 0; padding: 0; padding-right: 108px; position: relative; vertical-align: middle; width: 100%; } .u21cba192de9ea2c2d6b74743acd0ed01:after { content: ""; display: block; clear: both; } READ: management (2273 words) Essay Arithmetic Mean The arithmetic mean is what is commonly called the average: When the word mean is used without a modifier, it can be assumed that it refers to the arithmetic mean. The mean is the sum of all the scores divided by the number of scores. The formula in summation notation is: mean where is the population mean and N is the number of .