The Movie Ramayan - 1257 Words

Sachinbhai Patel Dr. M HUM – 121 July 16, 2015 Paper # 2 Movie- Ramayana This movie Ramayan is based on one of the great literature epic of India Called Ramayana, the other being the Mahabharata. Ramayana story transmitted orally for generations but not recorded until the eighth century B.C.E. It was written by the poet Valmiki. In this great epic story the main person was Rama who was an seventh incarnation of the Lord Vishnu who is the care take and protector of this world, Rama was like a Buddha he served for the people and also it’s about good vs evil. â€Å"In India, Lord Vishnu is worshiped primarily as Avatar, or incarnations, particularly as Rama and Krishna, the principal characters of the epics Ramayana and Mahabharata† (Shah). The movie Ramayan was made on the story of Ramayana and focused on Rama. The Ramayana talks about life of people in India near 1000 BCE and shows the belief and rules of dharma. It influence Hindus and world at large. The main reason dharma exits is in the form of Ramayan. The hero, Rama, lived his whole lif e by the rules of dharma; in fact, that was why Indian consider him heroic. When Rama was in his youth he was the perfect son, later he was an ideal husband to his faithful wife, Sita, and a responsible king of Aydohya. Act like Rama, and Act like Sita young Indians have been taught and told to be like them for over 2,000 years. The Ramayana is a well know story around the world but most of the people in united do not know about it, itShow MoreRelatedThe Ramayana Is Not Just A Story5045 Words   |  21 PagesCE. The text has several regional renderings, Famous retellings include Gona Budda Reddy s Ramayanam in Telugu, Kamban s Ramavataram in Tamil, Madhava Kandali s Saptakanda Ramayana in Assamese, Krittibas Ojha s Krittivasi Ramayan in Bengali, sant Eknath s Bhavarth Ramayan in Marathi, Balaram Das Dandi Ramayana in Oriya, Tulsidas Ramcharitamanas in Awadhi, However, the general cultural background of the Ramayana is one of the post-urbanization period of the eastern part of north IndiaRead MoreComparative Analysis of Radio Mirchi 98.3 Fever 104 Fm1649 Words   |  7 Pagesyears like Secret Sounds, a contest to guess the sounds of the city; I Love Fever and Tick Tock Bingo, which introduced the concept of large cash prizes on air; Ki Bolchen Dada, the first on air audio blog and an exemplary in-house audio production, Ramayan, which won two Gold’s at the New York Festival 2011, Making it a tough completion for other competitors. The pick of the slots includes the Breakfast show (7:00am to 11:00am) Mid Morning (11:00 am to 2:00pm) Films related program (11:00 amRead MoreCreativity in Advertising15483 Words   |  62 Pagestool of advertising A year ago when I entered a movie hall, I strolled past movie posters and headed straight to the food counter. Now when I step into hall, I literally have to watch my step. There is a DHL cutout there; a Hero Honda bike parked there, a promotion for Brylcreem, hall seats sporting the Signature whisky brand, poster of Airtel advertising telling viewers to download the Fanna songs, Nestle milk on the break fast table in the movie Fanna†¦.. Whether it is the hall premises, intervals

Youth in Indian Politics Free Essays

India needs young leaders who personify energy, enthusiasm, morality, and diligence. No doubt we have progressed a lot in the last 65 years but the development pace would have been completely different had some young torchbearers led this process of development. At the time of independence, Gandhi called upon the youth to participate actively in the freedom movement. We will write a custom essay sample on Youth in Indian Politics or any similar topic only for you Order Now Young leaders like Nehru came and led the movement. But. nowadays we have only a handful of young leaders. The youth today are not interested in actively participating in the political field. They are content with what they are doing . Young people are not given opportunities to prove themselves because the politicians say that they are not equipped with experience to participate actively in the governance of the country. Old people should realize that proper development can take place only when they make way for younger people to enter in to politics I would like to suggest that there should be a retirement age for politicians. There should also be some educational qualification for politicians. How can we give the key to our country to those illiterates. The youth of our country, can contribute in areas like educating people, raising awareness about various social ills, and many other areas. Young people possess energy, but it should be channelized in the right direction. Misguided youth may do great harm to the society. Moreover, it is on the shoulders of the young that the future of the country rests, because they represent new values, new thinking and the new ways of life. Even our former president and eminent scientist Dr . APJ Abdul Kalam said that the youth should be a part of the politics, this will ensure the states growth and development Society should mould itself according to the thinking of the young because it is difficult for the older generation to have new thinking. The young should always look with hope and confidence to the future of the country. They must have the spirit to work among the masses and also give a sense of direction for the others to follow. In India we want to be free from poverty, disease and all types of divisive forces. Our political freedom must create conditions not only for better life but also for peace. The youth of India should be inspired with these ideas and make them as popular with the people . In fact the older generation becomes hardened in their thinking. So it is difficult for them to adopt a new path. The faith of the young people is never so rigid. They can adopt, modify and change their ideas according to the demands of the circumstances. So youth of India should take this responsibility on their shoulders. Another responsibility which Indian youth will have to take is to revive our culture. If we break with our culture no progress is made in the society. The great ideas enshrined in our culture will help us to set the energies of nation in the proper direction. Various social movements which seem to be the basis of progress need the help of the younger generations. the younger generation has vision of the future and is guided by that vision. So â€Å"a nation is built in its educational institutions† through younger generations. India is wedded to the policy of industrial development, but no industry can make progress till men are properly trained and technologists help in the development of the industries of the country. Only the young generation can give appropriate direction. Therefore ,I conclude that all these steps would lead to nothing if the educated youth doesn’t come forward and fights for a change in the political system. As a famous Hindi poet had once said, â€Å",those who are mute spectators of injustice are also responsible for it â€Å"Just casting our votes is not enough, we must be a part of politics in india† How to cite Youth in Indian Politics, Papers

New Canadian Motor Vehicles Co2 Emissions Samples for Students

Question: Write a Report on New Canadian Motor Vehicles Co2 Emissions. Answer: This report is in response to your memorandum dated 4th January 2017. You have requested me to conduct an analysis of the recent automobile CO2 emissions as provided in the data file attached to your memorandum. There are some specific questions that you would like answered based on the data provided. Overall Summary of CO2 Emissions On analyzing CO2 emissions, Fiat recorded the lowest CO2 emission at 186.46 g/km while Aston Martin recorded the highest CO2 emission at 347 g/km. On further analysis the overall average CO2 emissions based on the 1,082 observations was 244.69 g/km associated with a standard deviation from the average of 55.70 g/km. In addition, analysis suggested approximately normal distribution based on a slight positive skew-recorded at 0.63 and this is evident when looking at the histogram on the CO2 emissions. You can be 95% confident that the average CO2 emissions will be 244.69 g/km 1.69 standard errors. That is to say, you can expect the average CO2 emission to fall between 243 g/km and 246.38 g/km based on a sample of 1,082 observations. Relationships with CO2 Emissions You were interested to know whether there was any relationship the CO2 emissions and the type of fuel used. According to the data, there were four types of fuel namely; regular petrol, premium petrol, diesel and ethanol. In essence your question was; is there any difference between the observed proportions of the fuel used and the expected proportion? To determine this, a chi-square test, which is a non-parametric test, was carried out. According to Kingoriah (2004), a chi-square test is used to investigate whether there is a difference between the observed proportion or frequency distribution among categories and the expected frequency distribution. Under the null hypothesis, there should be no difference between the expected and observed distribution of fuel types. Based on your question the hypothesis is; H0: There was no statistically significant difference between CO2 emissions and the type of fuel used (null hypothesis) HA: There was some statistically significant difference between CO2 emissions and the type of fuel used (alternative hypothesis) According to the analysis, there seemed to be some notable differences between the observed CO2 emissions and the expected CO2 emissions. The observed CO2 emissions for regular petrol was recorded at 233.22 g/km, premium petrol was 256.10 g/km, diesel was 220.46g/km and ethanol was 268.03g/km. The expected average CO2 emission was 245.46g/km. The question therefore was to determine whether these differences were statistically significant to make an inference of the entire population? The results revealed a p value of 0.13. This was greater than the cut-off point of 0.05 (alpha level). The decision was to fail to reject the null hypothesis and conclude that there is no evidence based on the sample data to suggest that there are differences in CO2 emissions based on the fuel used. The differences observed in our sample data could have resulted from sampling error of chance. Confidence Intervals On Estimation of the Level of CO2 Emissions for 4 Cylinder, 6 Cylinder and 8 Cylinder vehicles Your other concern was to estimate the level of CO2 emissions for all 4 Cylinder, 6 Cylinder and 8 Cylinder vehicles and whether there appears to be any difference. At 95% confidence level you can expect the mean level of CO2 emissions for a 4 cylinder motor vehicle to be between 198.38g/km and 203.46g/km. Likewise, at 95% confidence level we can expect the mean level of CO2 emissions for a 6 cylinder motor vehicle to fall between 255.39g/km and 260.97g/km. For the 8 cylinder motor vehicle we can be 95% confident that the mean level of CO2 emission will fall between 277.08g/km and 284.48g/km. Estimation of the Proportion of All Vehicles That Have 4 Cylinders, 6 Cylinders And 8 Cylinders You were also concerned on the approximate proportion of all vehicles that have four Cylinders, six Cylinders, and eight Cylinders. The proportion of four cylinder motor vehicles was 45.19 per cent of the total observations of 1,082. We can expect that at 95% confidence level that the proportion of four cylinder motor vehicles will fall between 42.23% and 48.16% of the true population proportion. Likewise, the six-cylinder motor vehicles proportion was 35.49 per cent with an expected proportion of the entire population of between 32.64% and 38.34 per cent. The eight cylinder motor vehicles had a sample proportion of 19.32 per cent hence we can be ninety-five per cent confident that the true proportion of eight cylinder motor vehicles will be within 16.96 per cent and 21.67 per cent. Hypothesis Tests A month prior to your memo, a national newspaper published an article indicating that the Federal government was investigating a proposal to limit CO2 emissions for new motor vehicles to a maximum of 350 grams per kilometre. The same article proposed that this was likely to eradicate a minimum of five per cent of the biggest polluting motor vehicles off the roads. You are concerned whether the sample data is able to support this claims. For the limit of CO2 emissions of new motor vehicles to a maximum of 350 grams per kilometre, your concern was to determine whether there was evidence from the sample data to support the claim that new vehicles were emitting no more than 350g/km of CO2 at 5% level of significance. The hypothesis formulated hence was; H0: CO2 emissions for new motor vehicles was more than 350 grams per kilometre (null hypothesis) HA : CO2 emissions for new motor vehicles no more than 350 grams per kilometre (alternative hypothesis) The decision was to reject the null hypothesis and conclude that CO2 emissions for new vehicles was likely to be more than 350g/km (t= - 62.20, p .01). Accordingly, the article also suggested that the removal of vehicles emitting more than 350g/km of CO2 would eliminate up to 3% of the largest polluting vehicles off the road. However, was this true based on the sample data? The results did not seem to show any evidence that removing motor vehicles emitting more than 350g/km of CO2 would eliminate up to 3% of the highest pollutants off the road (z= - 6.71, p .01). Simple Regression According to your memorandum, you do not have much information about CO2 emissions. However, you reckon that the larger a vehicle engine is, the greater the CO2 emissions. You wanted to establish by use of a simple regression the degree of variation of CO2 emissions can be explained by the engine size of a motor vehicle. The simple regression analysis was carried out by taking engine size variable as the independent variable (denoted by x) and CO2 emissions as the dependent variable (denoted by y). As you correctly noted, the relationship between two or more independent variables and one dependent variable is best illustrated using a regression model. In this case, your concern is how much CO2 emissions are likely to predicted by the engine size of a motor vehicle. According to Lucey (1996), a regression model amalgamates one or various independent variables to determine one single dependent variable. The regression model was therefore formulated as: Y = a + X Where Y = CO2 emissions a = intercept = engine size The coefficient of determination represented by R square in the analysis seeks to investigate the degree of variation of the dependent variable (in our case it is CO2 emissions) that can be explained by the independent variable or predictor which in our case is engine size. According to my investigation, 0.7014 or 70.14% variability of CO2 emissions can be explained by a change in engine size. This means that thirty per cent of a change in CO2 emissions is explained by other factors other than engine size. The next step sought to determine whether there existed any statistically significant linear correlation between engine size and CO2 emissions. In short, whether there was any statistically significant correlation between engine size and CO2 emissions. The hypothesis was stated as follows; H0 : = 0:There is no statistically significant difference in change in engine size and CO2 emissions. HA : 0:There is some statistically significant difference in change in engine size and CO2 emissions. The analysis of variances table revealed an f-statistic of 2540.20 associated with a p value of p 0.01. The decision was therefore to reject the null hypothesis and conclude that there was evidence to suggest that a change in engine size is likely to affect CO2 emissions (f= 2540.20, df= 1,p .01). However, it should be noted that this is only a causal relationship. That means that a relationship between engine size and CO2 emissions does not automatically infer that the tendency of change in one variable is caused by change in the other variable. The regression model was statistically significant (t= 50.40, p .01). This meant that engine size was a good estimator of CO2 emissions. The regression model can be derived from the coefficients column as; CO2 emissions (y) = 130.32 + 30.59 (engine size). Using the model above it is possible to predict the CO2 emissions of a vehicle having an engine size of 1000cc or 1 litre. This can be done by substituting the engine size you would like to investigate as follows; CO2 emissions = 130.32 + 30.59 (1) = 160.91 X 1 = 160.91g/km Perusing through the data, I would have some concerns with the above prediction as there seems to be variations in CO2 emissions. For instance, an engine size of 1.50 litres has CO2 emissions of 140g/km while another vehicle of 1.40 litres has CO2 emissions of 173g/km. Inasmuch as the regression model may be used as a basis of predicting CO2 emissions using engine size as a predictor, other variables should be considered for inclusion in the regression equation. Appropriate Sample Size You were concerned that the sample size of 1,082 cars is far too many and we could easily achieve the same results with a much smaller sample size. In this regard, you would like to know whether similar results would be achieved with a smaller sample. For instance, if we wanted to estimate the proportion of vehicles whose CO2 emissions were less than 350 g/km to within 3%v margin of error, we would need to use data from the current study to make the estimation. This would include the estimated proportion of vehicles emitting less than 350g/ of CO2. From the sample, 1,040 cars have CO2 emissions less than 350g/km out of 1,082 cars sampled. This works out to 96% of the total sampled cars. From the analysis, the required sample size would be 164 cars (n=164). You also wanted to estimate the overall combined fuel consumption to within 0.5 margins of error of the mean at 95% confidence level. The sample standard deviation (2.90) was used to estimate the sample size. We would require a sample size of 135 cars to estimate fuel consumption. References King'oriah, G. K. (2004) Fundamentals of applied statistics. Nairobi: The Jomo Kenyatta Foundation. Lucey, T. (1996) Quantitative techniques. 5th edn. London: DP Publications (Low-Priced Edition).