Personal Development Plan Essay Example | Topics and Well Written Essays - 1750 words

Personal Development Plan - Essay Example This requires funds, which are not always available. In this case, I will have to prove to an organization that my research is in accordance to the vision of their company and aiming at improving science and technology in the country. Attaining this chance will give me a good chance to d my research work. I will also be able to get first hand skills and opportunities. I will also be able to improve m communication and social skills within the company of my research. This will widen the scope of my knowledge and I will be able to learn various challenges individually. Apply for lots of jobs in my field of study. Engage in internship and volunteer jobs within my field of career and my dream working stations. Engage in 8 hours lecturing within a week in the University to improve my teaching skills and solicit for a job while still seeking for a job Securing these two jobs will be a dream come true. I will be able to put my practice at work. I will also be able to improve my communication status. My living standards will also improve, as I will be under payroll. I will also be able to meet various opportunities in my field of operations After securing good grades at master’s level, it will be easy to pursue my doctorate degree. This includes applying well within the stipulated time. I will also ensure that all the necessary requirements are available on time and above all that, I am qualified for the position to further my studies. Owing to good experience at field work I will ensure I work hard and pass my exams and learn more from the course You should identify the level where on the scale you think you are and also comment on what evidence your assessment is based in the space beside each component part of the skill. Evidence needs to be hard evidence eg results or feedback from tutors or employers. I have good communication skills especially since I am a trained teacher through my field of agriculture

Pakistan and Policy Essay Example for Free

Pakistan and Policy Essay National integration is unity in diversity. It means a feeling of oneness. It implies social, political, economic, linguistic and cultural unity. It is the development of a mental climate that would help reacts in terms of oneness, irrespective of the region, language or religion of the people concerned. It means a heaven of freedom where the world has not been divided into fragments by narrow domestic wells. It is based on feeling of oneness, common ideals of life and a common code of behavior. It implies confidence in nations future, deep sense of values and obligation of citizenship, mutual understanding and respect for the culture of different sections of the nation. Need for National Integration National integration is the feeling that binds the citizens of a country. Its aim is to put individuals best efforts for the optimum growth, prosperity and welfare of the country as a whole. It does away with inter-state, inter-linguistic, inter-religious and inter-cultural differences. It promotes a spirit of tolerance and respect for the view-point of other cultural groups. To Kanungo, Every country at every time needs national integration but India needs it the most. Indias passing through a critical period these days. The integrity of India is in danger. Therefore Indians will have to act carefully. In India national integration is needed due to following reasons: Threat of Foreign Aggression National integration is vital for Indias survival especially at a time when the country is under the threat of foreign aggression and internally the people are divided on the basis of castes, religions, regions, communities, languages and Races For the Development of National Character National integration is an essential element for the development of national character. These days there is lack of national character. Corruption is increasing day-by-day. We are sacrificing national interests for the sake of money. National character can be formed only when we have the feeling of national integration. For Success of Democracy India is a democratic country. National integration is an essential pre-requisite for the success of our democracy. It is a basic need for the success of democracy; otherwise, the fissiparous tendencies in the country may lead to serious consequences. For Diversity National unity is essential for any country at any time. There is unity in diversity in India but now unity is in danger. Therefore, national unity is essential in order to maintain the eternal value of unity in diversity. For Peace National integration is essential for keeping peace at national and international level. Modern age is the age of science. It has changed the whole world in a family. Every nation is dependent on one another. Therefore, scientific achievement should be used for constructive work in order to provide peace to humanity. This feeling can develop only when we have the thought of national integration.

Nature vs nurture debate referencing to eating disorders

Nature vs nurture debate referencing to eating disorders This essay will be discussing one question that has stumped philosophers and psychologist alike since the eighteenth century. The nature verses nurture debate which has been one of the most controversial questions debated throughout the decade by students and lectures. Galton (1883) was the first to term the phrase nature-nurture. Gross (2005) which questions the amounts our psychological characteristics are due to our genes also the amount our psychological characteristics are due to the environment including social influence what we learn as well as. In psychology two main psychological approaches have put forward .different views on the nature verses nurture issue. The first is the biological approach (nature) which bases it strength on genetics and the study of MZ (identical twins) and DZ (non identical) twin studies in its argument. Nurture on the other hand states that all is a learned process and uses modelling and the environment (including western influence) to explain its argument. Both have strong arguments to support their claims both backed up by empirical evidence and theories. Using eating disorders as a reference especially anorexia and bulimia to the nature nurture Anorexia nervosa is a condition where the person loses weight or tries to maintain a abnormally low weight through dieting often masked by the use of vegetarianism. Whereas bulimia involves binge eating followed by purging (vomiting or over use of laxatives). One way the nature theory explains this disorder would suggest that it is caused by genetics, which could be hereditary. Strober et al (2000) theory gives weight to this by suggesting that first degree relative of women with anorexia were ten times more likely to get this disorder than children from families without anorexia. These results were collated through the use of interviews of 1,831 relatives of 504 probands and family backgrounds. According to this research best-estimate diagnoses was based on all available information. In a further study a year later Stroder et al (2001) went on to suggest that as well as women men could now al so get this disorder. However, it can also be said that environment may play a big part in the development of this disorder. If we take environment as another influence then studies carried out in countries that may be starting westernization could show us if there is a link between eating disorders and different cultures. This can be seen in the nurture argument by suggesting that this disorder is due to environment and western society influence. This helps explain how more eastern countries have now due to pressure of turning to more western ideals in their culture, and ways of thinking, are having more problems now than before, they took on the Western ways. This can be seen in Lee et al (1993) Westernization has been linked to an increase in eating disorders in other parts of the world, including Hong Kong and Japan. Nadaoka et al, (1996) suggested that due to the changing roles for women cultural approval has also been suggested for a slim body. Increased wealth and availability of food, were also thought to be implicated in this change. Dolan (1991) study carried out in the United States which suggested that in it was more common for white women to have anorexia than coloured women; implying that race could be linked to anorexia. However some have argued that this could be due to genetic make-up. Evidence to support Dolans theory has come from Powell Khan (1986) who asked why white women are more prone to eating disorders than black women. Their study revealed that white women were engrossed in how much thinner they looked than black women and showed more concern about weight and dieting. This showed their results as a black society is more tolerant of larger body size than white society and that the black society places less importance on thinness and appears to prefer a more rounded shape. Another theory put forward by the nature approach which backed up Stroders theory. Holland et al (1988) who also carried out twin studies which have also suggested a strong genetic influence as twin studies showed MZ twins have a higher concordance rate than DZ twins. The problem with this study is theres never a hundred percent concordance rate which may suggest that other factors need to be taken into consideration and we have to look at other influences even though there is evidence to support that anorexia and bulimia have strong genetic ties. Furthermore we cannot ignore the strong influence that media plays in the development of this disorder. This can be seen in teenagers and adolescences using their role models as there is an ideal shape which is portrayed by fashion magazines and models as well as other role models and icons. This we call socio-cultural opinion. You may have read/heard in the media stories of celebrities in the public eye being criticised by the media about how they dress, how they look have they put weight on or even have they lost weight. These sort of high profile celebrities such as Victoria Beckham etc have pressure to watch their weight as its constantly under scrutiny and so have been called size zero This supports what the behaviorist claim to be cause of anorexia and bulimia in saying that we learn through modelling. So by high media profiling of these role models and icons we can see how teenagers and adolescences in general may view their own bodies and so this disorder may result from this type of influence, This can be linked to Banduras social learning theory in that children model the adult which can be seen in adolescence and teenagers who have eating disorders. Another explanation from the nature side is that anorexia may be due to unbalanced chemicals in the brain particularly if there is low serotonin. Some studies have linked low serotonin with depression and low self esteem in anorexic patients. Kaye, Ebert, Raliegh and Lake (1984) studies support this theory in which they discovered anorexic patients that had not gained a healthy weight gain were compared to patients who had achieved a normal amount of weight, they put forward the theory which suggests this is due to norapinephrine. The study of genetic research in anorexia is still in its infancy stage unlike established research for example schizophrenia and diabetes. We may discover through future DNA studies a gene specific to anorexia. It may also suggest a link to depression, in playing a part in anorexia bulimia. This however could be argued against in that low serotonin could be the effect and not the cause of anorexia. As mentioned earlier twin studies have been used to strengthen the nature argument but there are flaws with type of study besides the concordance not being one hundred percent. As well as the twins may not be from the same environment. The results may be down to environmental influences rather than just genetic. The nature argument assumes that behaviour is innate and we are born with it and might explain why their arguments strength is based on genetic and hereditarianism theory. Furthermore the nurture argument relies on our environment, which includes cultural and societal pressure as well as media influence. However with the evidence presented in this essay the only conclusion to draw from this question is that anorexia and bulimia can be attributed to a combination of both the nature hypothesis in basing its facts on heredity and genetics and the nurture hypothesis basing its facts on environment, media and social structure. Some people may have a biological tendency to anorexia. However there is strong evidence to support the environmental influence, as this is needed to start it off. As you may have noticed the nature nurture debate is quite complex and not easy to tackle. From the time Galton first thought about this question is it nature or nurture responsible for our development to the present with the breakthrough in technology, we have to study DNA the human blue print. We still dont know the answer both side provide strong arguments but with the evidence this essay has found it would be inconsiderate to assume that one factor is solely responsible for eating disorders. It is obvious that both aspect contribute to anorexia and bulimia

Comparing The Epic of Gilgamesh and Noah and the Flood Essay -- Book o

Comparing The Epic of Gilgamesh and Noah and the Flood It is said that life is 10% what you make it and 90% how you take it. It is not the circumstances of life that determine a person's character. Rather, it is the way a character responds to those circumstances that provides a display of who he is. "From the Epic of Gilgamesh", as translated by N.K. Sandars, and "Noah and the Flood" from the Book of Genesis, both Gilgamesh and Noah face similar circumstances, but don’t always respond to them the same way.   Ã‚  Ã‚  Ã‚  Ã‚  Accepting immortality and the ultimate powerlessness to be in control of death's inevitability is something that both Gilgamesh and Noah encounter. Gilgamesh faces the death of his closest companion, Enkidu, with hopelessness, fear, and anger. "In his bitterness he cried, 'How can I be at peace? Despair is in my heart. What my brother is now, that I shall be when I am dead. '" (p. 141) To Siduri's questioning, Gilgamesh responds, "Because of my brother I am afraid of death, because of my brother I stray through the wilderness and cannot rest." (p. 144) Noah, faced with the impending death of everyone except his own family and the pairs of creatures joining him in the ark, is unquestioning and obedient in following God's instructions. After the instructions about the animals that he is to take into the ark, "Noah did so; just as God commanded him, so he did." (p. 172) When God tells Noah that He will blot out all of creation in forty days and forty nights, "†¦ Noa...

Assignment †Distributed Computing Essay

The CTO is still impressed with your work. He just came back from a technology exposition where he heard about computer clusters. All he knows is that they are the big thing for businesses and he wants to explore the technology. Write a five page research essay explaining computer clustering, benefits, challenges, and potential applications. Essay should focus on one type of clustering application (file server, database, load balancing, web hosting, data processing) and detail the use potential setup (high availability or load balancing), type (COTS vs. blade clusters) and network connectivity. Requirements: Essay should be five pages of content presenting an explanation of computer clustering, benefits, challenges, and potential applications. Minimum concepts to cover and explain in the essay are: clusters, high availability, load balancing, COTS vs. blade clusters, network connectivity for computers in a cluster. Paper should conform to the APA style and hence will be longer because, of course, you will include a title page, abstract, table of contents, and a references page in addition to the actual content pages required Written Assignment requirements: Written work should be free of spelling, grammar, and APA errors. Points deducted from the grade for each writing, spelling, or grammar error are at your instructor’s discretion. Assignment Requirements/ Grading Rubric 1. Demonstrated college-level communication through the composition of original materials in Standard American English 2. Examined the concept of clusters and provided well documented explanation 3. Examined and explained the use of clusters to provide high availability and load balancing 4. Examined computer clustering benefits, challenges, and potential applications 5. Demonstrated good understanding of the technologies and provided good arguments and explanations to back up assertions and points

Final Exam Ec315

PART I. HYPOTHESIS TESTING PROBLEM 1 A certain brand of fluorescent light tube was advertised as having an effective life span before burning out of 4000 hours. A random sample of 84 bulbs was burned out with a mean illumination life span of 1870 hours and with a sample standard deviation of 90 hours. Construct a 95 confidence interval based on this sample and be sure to interpret this interval. Answer Since population standard deviation is unknown, t distribution can be used construct the confidence interval. ? The 95% confidence interval is given by ? X ? t? / 2,n ? 1 ? S S? , X ? ? /2,n ? 1 ? n n? Details Confidence Interval Estimate for the Mean Data Sample Standard Deviation Sample Mean Sample Size Confidence Level 90 1870 84 95% Intermediate Calculations Standard Error of the Mean 9. 819805061 Degrees of Freedom 83 t Value 1. 988959743 Interval Half Width 19. 53119695 Confidence Interval Interval Lower Limit 1850. 47 Interval Upper Limit 1889. 53 2 PROBLEM 2 Given the following data from two independent data sets, conduct a one -tail hypothesis test to determine if the means are statistically equal using alpha=0. 05. Do NOT do a confidence interval. 1 = 35 n2 = 30 xbar1= 32 xbar2 = 25 s1=7 s2 = 6 Answer H0:Â µ1=Â µ2 H1: Â µ1>Â µ2 Test statistics used is t ? X1 ? X 2 S 2 (n1 ? 1) S12 ? (n2 ? 1) S2 n1n2 ~ tn1 ? n1 ? 2 where S ? n1 ? n2 ? 2 n1 ? n2 Decision rule : Reject the null hypothesis, if the calculated value of test statistic is greater than the critical value. Details t Test for Differences in Two Means Data Hypothesized Difference Level of Significance Population 1 Sample Sample Size Sample Mean Sample Standard Deviation Population 2 Sample Sample Size Sample Mean Sample Standard Deviation 0 0. 05 35 32 7 30 25 6Intermediate Calculations Population 1 Sample Degrees of Freedom 34 Population 2 Sample Degrees of Freedom 29 Total Degrees of Freedom 63 Pooled Variance 43. 01587 Difference in Sample Means 7 t Test Statistic 4. 289648 Upper-Tail Test U pper Critical Value p-Value Reject the null hypothesis 1. 669402 3. 14E-05 Conclusion: Reject the null hypothesis. The sample provides enough evidence to support the claim that means are different. 3 PROBLEM 3. A test was conducted to determine whether gender of a display model af fected the likelihood that consumers would prefer a new product.A survey of consumers at a trade show which used a female spokesperson determined that 120 of 300 customers preferred the product while 92 of 280 customers preferred the product when it was shown by a female spokesperson. Do the samples provide sufficient evidence to indicate that the gender of the salesperson affect the likelihood of the product being favorably regarded by consumers? Evaluate with a two-tail, alpha =. 01 test. Do NOT do a confidence interval. Answer H0: There no significant gender wise difference in the proportion customers who preferred the product.H1: There significant gender wise difference in the proportion customers who preferred the product. P ? P2 n p ? n p 1 The test Statistic used is Z test Z ? where p= 1 1 2 2 n1 ? n2 ?1 1? P(1 ? P) ? ? ? ? n1 n2 ? Decision rule : Reject the null hypothesis, if the calculated value of test statistic is greater than the critical value. Details Z Test for Differences in Two Proportions Data Hypothesized Difference Level of Significance Group 1 Number of Successes Sample Size Group 2 Number of Successes Sample Size 0 0. 01 Male 120 300 Female 92 80 Intermediate Calculations Group 1 Proportion 0. 4 Group 2 Proportion 0. 328571429 Difference in Two Proportions 0. 071428571 Average Proportion 0. 365517241 Z Test Statistic 1. 784981685 Two-Tail Test Lower Critical Value -2. 575829304 Upper Critical Value 2. 575829304 p-Value 0. 074264288 Do not reject the null hypothesis Conclusion: Fails to reject the null hypothesis. The sample does not provide enough evidence to support the claim that there significant gender wise difference in the proportion customers who preferr ed the product. 4PROBLEM 4 Assuming that the population variances are equal for Male and Female GPA’s, test the following sample data to see if Male and Female PhD candidate GPA’s (Means) are equal. Conduct a two-tail hypothesis test at ? =. 01 to determine whether the sample means are different. Do NOT do a confidence interval. Male GPA’s Female GPA’s Sample Size 12 13 Sample Mean 2. 8 4. 95 Sample Standard Dev .25 .8 Answer H0: There is no significant difference in the mean GPA of males and Females H1: There is significant difference in the mean GPA of males and Females. Test Statistic used is independent sample t test. ? X1 ? X 2 S 2 (n1 ? 1) S12 ? (n2 ? 1) S2 n1n2 ~ tn1 ? n1 ? 2 where S ? n1 ? n2 ? 2 n1 ? n2 Decision rule: Reject the null hypotheses, if the calculated value of test statistic is greater than the critical value. Details t Test for Differences in Two Means Data Hypothesized Difference Level of Significance Population 1 Sample Sample Size Sample Mean Sample Standard Deviation Population 2 Sample Sample Size Sample Mean Sample Standard Deviation Intermediate Calculations Population 1 Sample Degrees of Freedom Population 2 Sample Degrees of Freedom Total Degrees of Freedom Pooled Variance 0. 05 12 2. 8 0. 25 13 4. 95 0. 8 11 12 23 0. 363804 5 Difference in Sample Means t Test Statistic -2. 15 -8. 90424 Two-Tail Test Lower Critical Value Upper Critical Value p-Value Reject the null hypothesis -2. 80734 2. 807336 0. 0000 Conclusion: Reject the null hypotheses. The sample provides enough evidence to support the claim that there is significant difference in the mean GP A score among the males and females. 6 PART II REGRESSION ANALYSIS Problem 5 You wish to run the regression model (less Intercept and coefficients) shown below: VOTE = URBAN + INCOME + EDUCATEGiven the Excel spreadsheet below for annual data from1970 to 2006 (with the data for row 5 thru row 35 not shown), complete all necessary entries in the Excel Regress ion Window shown below the data. 1 2 3 4 A YEAR 1970 1971 1972 B VOTE C URBAN D INCOME E EDUCATE 49. 0 58. 3 45. 2 62. 0 65. 2 75. 0 7488 7635 7879 4. 3 8. 3 4. 5 36 37 38 2004 2005 2006 50. 1 92. 1 94. 0 95. 6 15321 15643 16001 4. 9 4. 7 5. 1 67. 7 54. 2 Regression Input OK Input Y Range: A1:A38 Input X Range: B1:E38 Cancel Help ? Labels Confidence Level: x X X Output options X Constant is Zero 95 % Output Range: New Worksheet Ply:New W orkbook Residuals Residuals Residual Plots Standardized Residuals Line Fit Plots Normal Probabilit y Normal Probability Plots 7 PROBLEM 6. Use the following regression output to determine the following: A real estate investor has devised a model to estimate home prices in a new suburban development. Data for a random sample of 100 homes were gathered on the selling price of the home ($ thousands), the home size (square feet), the lot size (thousands of square feet), and the number of bedrooms. The following multiple regression output was generated: Regression Statistics Multiple R 0. 8647 R Square . 7222 Adjusted R Square 0. 6888 Standard Error 16. 0389 Observations 100 Intercept X1 (Square Feet) X2 (Lot Size) X3 (Bedrooms) Coefficients -24. 888 0. 2323 11. 2589 15. 2356 Standard Error 38. 3735 0. 0184 1. 7120 6. 8905 t Stat -0. 7021 9. 3122 4. 3256 3. 2158 P-value 0. 2154 0. 0000 0. 0001 0. 1589 a. Why is the coefficient for BEDROOMS a positive number? The selling price increase when the number of rooms increases. Thus the relationship is positive. b. Which is the most statistically significant variable? What evidence shows this? Most statistically significant variable is one with least p value.Here most statistically significant variable is Square feet. c. Which is the least statistically significant variable? What evidence shows this? Least statistically significant variable is one with high p value. Here least statistically significant variable is bedrooms d. For a 0. 05 level of significance, should any variable be droppe d from this model? Why or why not? The variable bed rooms can be dropped from the model as the p value is greater than 0. 05. e. Interpret the value of R squared? How does this value from the adjusted R squared? The R2 gives the model adequacy. Here R2 suggest that 72. 22% variability can e explained by the model. Adjusted R2 is a modification of R2 that adjusts for the number of explanatory terms in a model. Unlike R2, the adjusted R2 increases only if the new term improves the model more than would be expected by chance. f. Predict the sales price of a 1134-square-foot home with a lot size of 15,400 square feet and 2 bedrooms. Selling Price =-24. 888+0. 02323*1134+11. 2589*15400+15. 2356*2=173419 8 PART III SPECIFIC KNOWLEDGE SHORT-ANSWER QUESTIONS. Problem 7 Define Autocorrelation in the following terms: a. In what type of regression is it likely to occur? Regressions involving time series data . What is bad about autocorrelation in a regression? The standard error of the estimat es will high. c. What method is used to determine if it exists? (Think of statistical test to be used) Durbin Watson Statistic is used determine auto correlation in a regression. d. If found in a regression how is it eliminated? Appropriate transformations can be adopted to eliminate auto correlation. Problem 8 Define Multicollinearity in the following terms: a) In what type of regression is it likely to occur? Multicollinearity occurs in multiple regressions when two or more independent variables are highly correlated. ) Why is multicollinearity in a regression a difficulty to be resolved? Multicollinearity in Regression Models is an unacceptably high level of intercorrelation among the independents, such that the effects of the independents cannot be separated. Under multicollinearity, estimates are unbiased but assessments of the relative strength of the explanatory variables and their joint effect are unreliable. c) How can multicollinearity be determined in a regression? Multic ollinearity refers to excessive correlation of the predictor variables. When correlation is excessive (some use the rule of thumb of r > 0. 90), tandard errors of the b and beta coefficients become large, making it difficult or impossible to assess the relative importance of the predictor variables. The measures Tolerance and VIF are commonly used to measure multicollinearity. Tolerance is 1 – R2 for the regression of that independent variable on all the other independents, ignoring the dependent. There will be as many tolerance coefficients as there are independents. The higher the inter-correlation of the independents, the more the tolerance will approach zero. As a rule of thumb, if tolerance is less than . 20, a problem with multicollinearity is indicated.When tolerance is close to 0 there is high multicollinearity of that variable with other independents and the b and beta coefficients will be unstable. The more the multicollinearity, the lower the tolerance, the more th e standard error of the regression coefficients. d) If multicollinearity is found in a regression, how is it eliminated? Multicollinearity occurs because two (or more) variables are related – they measure essentially the same thing. If one of the variables doesn’t seem logically essential to your model, removing it may reduce or eliminate multicollinearity.