Global Echoes Of Atlantic Enlightenment And Revolution

Global Echoes of Atlantic Enlightenment and Revolution There are many different crucial sources that demonstrate the global influences of Atlantic revolutionary movements and Enlightenment views on human rights. Enlightenment philosophies of government and human rights ignited the revolutionary transformation in all of the Atlantic world. Political leaders on both sides of the Atlantic wanted to incorporate European Enlightenment concepts into their societies. Revolutions began to build on one another, taking the different ideas from other regions and implementing them into their own societies. The American, French, Spanish and Haitian revolutions triggered the development of new human rights all around the world. One of the primary sources that demonstrates the global influences of the Atlantic revolutionary movements and Enlightenment views on human rights is the Declaration of the Rights of Man and Citizen. This primary source was written by the French National Assembly includin g Marquis de Lafayette during the French Revolution. Thomas Jefferson served as an ambassador to France and also helped write the majority of the American Declaration of Independence. Because of Jefferson, the French and American declarations were quite similar. During all of the Atlantic revolutions, areas were trying to implement basic human rights for all equal men. The French declaration states that public misfortune and government corruption is caused by ignorance and neglect. With thatShow MoreRelatedOne Significant Change That Has Occurred in the World Between 1900 and 2005. Explain the Impact This Change Has Made on Our Lives and Why It Is an Important Change.163893 Words   |  656 Pagesreunification of Germany, the surge of globalization from the mid-1990s) and afterward (9/11, or the global recession of 2008) when one could quite plausibly argue that a new era had begun. A compelling case can be made for viewing the decades of the global scramble for colonies after 1870 as a predictable culmination of the long nineteenth century, which was ushered in by the industrial and political revolutions of the late 1700s. But at the same time, without serious attention to the processes and misguidedRead MoreContemporary Issues in Management Accounting211377 Words   |  846 Pagesthereby informing our understanding of the Weld. He wrote The Economics of Capital Budgeting (Penguin, 1976), one of the earliest theoretically rigorous textbooks in Wnancial management. His co-authored books, Management Accounting: Evolution not Revolution (CIMA, 1989) and Management Accounting: Pathways to Progress (CIMA, 1994), were published during a time of dramatic change in UK management accounting practice. These textbooks contributed to the UK management accounting transformation from the

Nature vs. Nurture Essay - 1620 Words

Different personality traits make us who we are today. There are many factors to our personalities and each aspect illustrates a bigger picture of who we are and how we came to be. Openness to experience is a factor of the Five Factor Model (FFM) that describes my personality and is an essential part of who I am in this society. Openness utilizes active imagination, attentiveness to inner feelings, intellectual curiosity, interest in variety, and interest in aesthetics. It is used to display a general appreciation for creative ideas, imaginations, and the arts. Due to a sufficient amount of psychometric research, it is valid to say that openness is viewed as a global personality trait that is comprised of a set of specific habits,†¦show more content†¦Although, they were traditionally Korean in the sense that they craved discipline and enforced good morals on me, they were also understanding of the imaginative world. Also, my parents are true believers of being open to all t ypes of art. However, not only are they true believers of this openness, it is apparent that is in them that they are open to experience. Ever since I was five, I have played the cello. This driving force behind the pursuit of music stems from my parents’ broad outlook on the arts and their thoughts on how important it is to learn about the arts. These evidences display that openness to experience carries a genetic component. Not only in my immediate family is it apparent that there is a genetic component to openness to experience, but in my extended family it is evident as well. Another prime example of the â€Å"nature† quality of openness is illustrated through my twin cousins. I have twin cousins, who were raised in drastically different environments. However despite the different environments, both of my cousins have the same FMM trait: openness to experience. One of the twins named Yuri was sent to boarding school in America at an early age while my other twin co usin Nari stayed in Korea. Yuri was raised by my aunt and uncle in New York City and lived a very liberal and non-traditionally Korean lifestyle. On the other hand, Nari remained in Korea and was raised in a very culturallyShow MoreRelatedNature Vs Nurture : Nature Or Nurture874 Words   |  4 Pages Nature or Nurture. Nature may be all of the genes and hereditary factors with which influence them to become who they are such as physical appearances and personality characteristics. Nurturing impacts people’s lives as well as how they are raised and all the environmental factors. In combination, these qualities can be the true identity of oneself. Many people may argue that nurture appears to a play huge factor in the two, but others may think otherwise. Not having both as a characteristic canRead MoreNature Vs Nurture : Is The Nature Or Nurture?1300 Words   |  6 PagesAoS 3: Student Directed Research Investigation Unit 1 Psychology - Megan Rodrigues RESEARCH QUESTION How is the nature vs nurture debate related to a consideration of the mental disorder, schizophrenia? INTRODUCTION Schizophrenia is categorized by thoughts or experiences that seem abnormal with reality, disorganized speech or behaviour and decreased participation in regular daily activities. Difficulty with memory and concentration are sometimes also present. The two hit hypothesis generally refersRead MoreNature Vs Nurture : Nature And Nurture1821 Words   |  8 PagesNature and nurture are usually seen as very different things, but they are actually somewhat similar and even integrated. There is a huge debate over which holds more influence over how people develop and whether they behave based on genes or their environment. In Sincero’s article Nature and Nurture Debate she discusses arguments for both sides, saying behavior may be completely in a person’s genes, or it could come from experience and influence. Many people believe â€Å"that the criminal acts, tendencyRead MoreNature And Nurture : Nature Vs. Nurture1780 Words   |  8 PagesAs Nature Made Him: Nature vs. Nurtur e Human behavior is determined by both biological and environmental factors. Psychologists are interested in learning which of these factors is a greater influence on human behavior and identity. Although psychologists today generally agree that both nature and nurture play a role in conditioning behavior, there is still disagreement about the part that each of the factors have in determining behavior. The nature versus nurture debate focuses around the extentRead MoreNature Vs Nurture : Nature And Nurture1821 Words   |  8 Pages Nature and nurture are usually seen as very different things, but they are actually somewhat similar and even integrated. There is a huge debate over which holds more influence over how people develop and whether they behave based on genes or their environment. In Sincero’s article Nature and Nurture Debate she discusses arguments for both sides, saying behavior may be completely in a person’s genes, or it could come from experience and influe nce. Many people believe â€Å"that the criminal acts, tendencyRead MoreNature Vs. Nurture : Nurture1405 Words   |  6 PagesDecember 2015 Nature vs. Nurture Very few people know that the nature vs. nurture debate actually began early on with famous Greek philosophers such as Plato and Descartes. These two theorized that certain things were inborn and occurred naturally regardless of environmental factors (Cherry 1). Most people began to witness this debate in 1896 when the phrase â€Å"Nature vs. Nurture† was coined by English polymath, Francis Galton (â€Å"Nature vs. Nurture†Origins 1). At this point the nature vs. nurture debate grewRead MoreNature Vs. Nurture : Nurture901 Words   |  4 Pagestime the proverbial nature vs. nurture question has sparked quite a debate. I hold the belief that nature vs. nurture is a zero-sum game. We essentially enter this existence, a lump of clay that needs molding in order to take form. So, I believe my creative abilities can be attributed to the sum of our genetic predisposition, the nurture of our mind, and the dynamic of both nature and nurture, with nurture being the predominant influencing factor. In psychology, nature refers to the inheritedRead MoreNature Vs Nurture And Nurture1777 Words   |  8 Pagesformed and cultivated through nature or nurture. This psychological anomaly is why I am writing this paper. Ever since I have enrolled in, and taken, a psychology class during my junior year, I have questioned whether every little emotion and action is because of nature or nurture. No topic is more widely explored and researched than morality. It cannot be scientifically or psychologically proven or tested, making any claim highly controversial. This idea, of nature vs nurture, that I had previously researchedRead MoreThe Nature Vs. Nurture1463 Words   |  6 PagesT What can we define as Human Nature and Nurture? The Nature vs. Nurture has been a long never ending debate for some time now. Nature vs Nurture has been so profoundly debated, that now it’s unclear whether what makes us who we are and what we do, nature or nurture. For purposes of this essay Nature is going to be defined as characteristics we acquire through our genetic and biological factors, while that Nurture is going to be defined characteristics we acquire through our interactions and influencesRead MoreNature Vs. Nurture : Nature Versus Nurture1337 Words   |  6 PagesNature vs. Nurture There are many different ways that behavior can be explained, especially on the terms of nature vs. nurture. Aggression is a behavior that has been extensively analyzed in a complex manner and the causes of it can be explained many different ways. Aggression can be defined as hostile or destructive behavior that can cause injury or destructive outlook especially when caused by frustration. Nature can be defined as aspects of behavior that have been inherited or are genetic, while

Self-Discovery free essay sample

I was born to be true and not to be perfect,† Epey said in his speech. Epey is the winner of the trending segment in It’s Showtime – That’s My Tomboy. In this segment, they (lesbians) let me, the madlang people and the world to see their worth as a lesbian and as a human. They also made me believe that all of us can be accepted in the society beyond our imperfections, because no matter how imperfect we are, there are still things that we must be proud of and things that we must treasure – our abilities, skills, talents, and personalities and us, being true to ourselves, and our family, friends, and loved ones. I am Joanne Mae Labio. I believe that there is no one who knows you so much but yourself and that there is such a great happiness when you know that you are living your life being true to yourself. We will write a custom essay sample on Self discovery or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page I am fourteen years old, eight-grader student and I’m proud to say that even though I’m still young, I already discovered some of my talents and skills and trying to improve them nowadays. I am a dancer, but I’m dancing not to impress but to express my feelings, myself, and my life, just like what other dancers do. I am good in the so called â€Å"cursed† subject in the whole world – Math, and I’m proud of it. I believe that it just really takes perseverance and hard studying to understand its challenging and crazy concepts and problems. I am good in puzzles, and logical questions, too. Those are some of my biggest skills that I’m really proud of and I consider them as one of the most important thing in my life together with my personality and confidence. Without them, I don’t know if I am me, if I’m the Joanne today. I also consider my inspirations and encouragers as important in my life. They are my family, friends, Ina and Xyrille together with Daniel Padilla. Without them, I don’t if I will have courage to study hard or show my talents and skills. I consider my abilities, skills, talents, and personalities as my strengths which are my recipes to a life that is happy and has worth. However, beyond my strengths, there is always a weakness. I am weak in grammar, or should I say, the English subject. I am weak in sports. I am weak in memorizing. But I know, to overcome these weaknesses, I just need to be industrious in practicing and working out with them. Unfortunately, that’s my biggest weakness – laziness. I don’t know why, but I’m really hard-headed and to lazy. Maybe when I grow up and mature more, I’ll realize the worth of being industrious. As of now, yes I know that it is important, but I can’t find ways to make myself work hard. No matter how hard I try, I can’t. In being true and proud to myself, I really idolize those people that are once said to be worthless but now are rich and still stepping their feet on the ground. Going back to Epey, even though he is in the third sex, and considered before as a worthless people together with his co-lesbians or co-third sex, in the segment said above, he made me, the madlang people and the world believe that lesbians, or people in third sex are not worthless but someone who can be proud of, not because of their talents and skills, but because of who they are, what they do, and how true they are to themselves. They made me realize that everyone is not really perfect, thus, our goal in life is to be perfect in the eyes of others beyond our imperfections. I want to be like them, not like them as lesbians, but like them that are true to themselves, and proud of who and what they are because, it’s the point where you can say that you really love yourself and worth to be loved by others. So now, I am proud to say that I, Joanne Mae Labio, an eight-grader student, am proud of my abilities and talents. But most specially, I am proud because I know myself, and I am being true to myself, not just because it’s the right thing, but because it is what I want, and this is where I can be fulfilled – when I, myself accept who I am, what’s my worth, and what I am capable of. I need to be myself, I can’t be anyone else.

S1 Task A Measurements Essay Example

S1 Task A: Measurements Essay My aim is that within the limits of a small-scale survey I will collect sample data of a population, and by using estimation techniques I will determine the populations parameters (such as the mean and the variance). My population is smarties, and in this investigation I am looking at the individual weight of random smarties, which will be my sample. I decided to stick with weight, as it is a property that will vary a lot, I think, and so I hope will prove an interesting investigation. An important factor to help me decide on how large my sample should be is that the size of the sample must be quite small, because it is stated so in my aim. However, to make accurate estimates of population parameters the sample must be large enough. Therefore to help me decide on the size of my sample, I have accordingly looked at the Central Limit Theorem, which states that: * If the sample size is large enough, the distribution of the sample mean is approximately Normal. * The variance of the distribution of the sample mean is equal to the variance of the sample mean divided by the sample size. We will write a custom essay sample on S1 Task A: Measurements specifically for you for only $16.38 $13.9/page Order now We will write a custom essay sample on S1 Task A: Measurements specifically for you FOR ONLY $16.38 $13.9/page Hire Writer We will write a custom essay sample on S1 Task A: Measurements specifically for you FOR ONLY $16.38 $13.9/page Hire Writer The Central Limit Theorem allows predictions to be made about the distribution of the sample mean without any knowledge of the distribution of the parent population, as long as the sample is large enough. For this reason, the sample size will be set at fifty, which I consider large enough for the distribution of its mean to be normal (according to the Central Limit Theorem). It should not be larger because the aim of this investigation is to carry out a small scale survey. The sample. The sample will be of the weight of fifty smarties. To be a good sample I must make sure that the results are valid and not biased in any way, which means that these smarties must be collected randomly, because the sample must be random for the Central Limit Theorem to be in effect, which would provide a Normal distribution of its mean which will allow me to make predictions of the parent population. I have decided to collect my sample data in a group, in order to lower he costs of the investigation, and also to provide assistance with greater accuracy to collecting the sample. Five tubes of smarties will be bought, each from a different shop, and ten smarties will be selected at random from each tube to be used in the survey. This should produce a nice sample, which I am fairly confident will be random. Calculations. In this investigation I will need to calculate a few things in order to come to my conclusion. This is a quick plan of what I will be calculating. * The mean, standard deviation and variance of the sample. * These will be used to estimate the variance and standard deviation of the parent population of smarties. * This in turn, will be used to estimate the standard error (the standard deviation of the sample mean distribution). * And, this will be used along with the mean of the sample to create confidence intervals for the mean of the parent population of smarties. Accuracy of measurements. My group will randomly select the required smarties from the packets and one after the other, they will be weighed on an electronic balance that will be reset to zero after each measurement, which will reduce the chance of any inaccuracies that might arise from small pieces of smartie being left on the balance. The balance we have used has a high degree of accuracy, as the measurements are given in grams to three decimal places. However, if the difference in the weight of smarties is too small to be detected on this balance, either a more accurate balance must be found or a survey of something with a higher variance must be carried out. Results (sample data). There is a table of the sample I have collected in my group. Weight of smartie (g) 0.898 0.939 0.921 0.941 1.004 0.994 0.922 0.934 0.893 0.934 0.954 0.998 1.042 1.009 0.957 1.013 1.110 0.972 1.034 1.041 1.042 0.949 0.952 0.964 0.953 0.867 0.932 1.011 0.955 0.959 0.982 0.913 0.939 0.954 1.061 0.906 0.955 0.901 0.957 1.081 0.994 1.044 0.955 0.950 1.014 1.027 1.050 1.045 1.047 0.915 Stem and leaf diagram of sample data. 1.11 0 1.10 1.09 1.08 1 1.07 1.06 1 1.05 0 1.04 122457 1.03 4 1.02 7 1.01 134 1.00 49 0.99 448 0.98 2 0.97 2 0.96 4 0.95 02344555779 0.94 19 0.93 24499 0.92 12 0.91 35 0.90 16 0.89 38 0.88 0.87 0.86 7 Although not necessary, I thought it would be somewhat useful to depict my sample data onto a stem and leaf diagram. Other information about the sample includes the lowest value, which is 0.867g, the highest is 1.110g, and the range is 0.243g. Sample Parameters. Mean. Using the total sum of the fifty smarties and dividing it by fifty to obtain the mean. Variance. The formula for variance states that you take the Mean of the squares minus the square of the mean. Standard Deviation. The standard deviation is found by finding the square root of the variance. Population Parameters. Estimate of the Mean of the population of smarties. The mean is an unbiased estimator, that is, the mean of its distribution is equal to the mean of the parent population. For this reason it can be used as an estimator for the mean of the population of smarties. As the mean of my sample is 0.976, then an estimate of the mean of the population of smarties is therefore: Estimate of the Variance of the population of smarties. The variance of the sample is a biased estimator. A biased estimator is one for which the mean of its distribution is not equal to the population value it is estimating. Therefore it must be converted to an unbiased estimator, by multiplying the sample variance by the number of smarties. You can see that the estimate of the variance of the population is slightly larger, than the variance of the sample. This is because within each sample some values are larger and smaller then the population mean, overall these cancel out and the mean of each sample would be closer to the population mean than the individual item. Estimate of the Standard Deviation of the population of smarties. Standard Error. The standard error is the standard deviation of the sample mean. According to the central limit theorem, the standard error can be calculated by performing a square root of the variance of the mean. This can be demonstrated algebraically: The standard error calculated above is quite small. This means that the variance of the sample mean is low, and this shows that one can be quite confident that the actual mean of the population is around 0.976. However this is not a very mathematical or user friendly method of showing how confident one is about the accuracy of the estimate made. This introduces the use of Confidence Intervals. Confidence Intervals Background. To calculate how confident one is about the estimate of the population mean, one can use confidence intervals. These tell you how confident (as a percentage) you can be that the mean of the population falls within a given range. How they work is explained in the following. Example Sample Mean Distribution: According to the Central Limit Theorem, the sample mean is distributed Normally. The mean of the sample mean (the centre of the curve) is equal to the population mean. The shaded area in the diagram shows the population mean à ¯Ã‚ ¿Ã‚ ½ 1 standard error. According to the tables for the normal function, this comprises of 68% of the curve. This means that there is a 68% chance that the mean of the sample is within one standard error of the mean of the population. This probability can be written algebraically as an inequality: However, as m is not known when sampling, the above inequality is useless, as it is not known to which number to add or subtract the standard error from. So the inequality is rearranged into this: This shows that the probability that the population mean is within 1 standard error of the sample mean is 68%. In other words you can be 68% confident that the population mean is within 1 s.e. of the sample mean. This idea can be used to calculate the confidence intervals that allow you to be 90%, 95% and 99% sure of the range where the population mean is found. 90% Confidence Interval. To work out a 90% confidence interval, you must work out how many standard errors from the mean contain 90% of the area under the curve (shown by the 0.9 in the shaded area above, as the are under the whole curve is equal to 1). The table of the Normal function shows areas to the left of points on the x-axis. This means that to work out the z score (the number of standard errors), you must calculate the total area to the left of the z, and look that up in the table to find the z score. This then allows you to calculate the confidence interval: The formula again to calculate confidence interval is here: The k value for 90% is 1.645, which I will use in the formula to find the confidence interval. This in words means that you can be 90% confident that the mean weight of the population lies between 0.963g and 0.989g. 95% Confidence Interval. The k value for 95% is 1.960, which I will use in the formula to find the confidence interval. This means that you can be 95% confident that the population mean is between 0.961g and 0.991g. This is a larger range than that of the 90% confidence interval, because to be more confident, the possible range must increase. 99% Confidence Interval. The k value for 99% is , which I will use in the formula to find the confidence interval. This means that you can be 99% confident that the population mean is between 0.956g and 0.996g. Validation. I must test my confidence intervals, and check if another sample will fit, and therefore show whether my investigation has been successful. For this quick test my group collected another ten results from two further packets of smarties. We used the same method for data collection as before. The Data we collected for the second (test) sample: Weight of smartie (g) 1.105 0.933 0.921 0.848 1.100 0.952 0.870 0.853 1.091 0.997 Mean. Looking back at my confidence intervals, this new sample mean actually fits in each of the confidence statements I made. Conclusion. After using the estimation techniques of the Central Limit Theorem I have estimated the following population parameters for the weights of smarties (three significant figures): Mean = 0.976g Variance = 0.00292 Standard Deviation = 0.0547g Using the Confidence Interval technique I have produced the following confidence: 90% = 0.963g ; m ;0.989g 95% = 0.961g ; m ; 0.991g 99% = 0.956g ; m ; 0.996g Also, my second sample data has proved my confidence intervals correctly, and the mean of 0.967g fit into the ranges that I calculated. I suppose there is no real conclusion, and I could not have set myself a hypothesis, as the investigation did not really call for one. The limiting factors meant I could not carry out a more detailed investigation, as for example if I based my sample on how many of each colour of smarty per tube, I would need a sample of about fifty tubes of smarties, which would have been impractical for me, as I would have had a time and a cost burden. Limitations. The size of the sample was small. The calculations that relied upon the data collected are therefore inaccurate to some extent, looking at how many smarties and packets of smarties there are in the world, a sample of fifty is completely dwarfed. To be more accurate a large sample must be collected. The sample might have been a fluke I might have got all the big smarties, or all the small ones. However there is not much to do to eliminate the possibility of this apart from to weigh every single smartie. This is extremely impractical. The smarties gathered were from my groups immediate area. Even though they were taken from different shops and different packets, they do not necessarily represent all the smarties in the world, only ones in my area. The results may be unreliable because the company that produces smarties may be changing, or have changed the mean weight setting for the smarties. They may be trying to slowly lower the weight while keeping the price the same. This could mean that the actual population parameters are somewhat different to the ones estimated here. But this may be unlikely. I found that the actual investigation may have been very limited from the start, by choosing the weight from random packets it meant I could not analyse the ratio of smarties per packet, or the mean weight per packet, as to collect a sample for those types of investigation I would need to have collected about fifty packets of smarties, which not only may have been expensive but would have been very tedious to measure each smarty from fifty packets, and would have been very impractical to carry out. Possible Extension. A statistical analysis of entire tubes of smarties could be carried out. The actual weight of the smarties could be compared to the price on the tube to determine whether the manufacturers are lying about how much smartie there is in their packets. Also similar investigations looking at how many smarties per packet, average weights of packets, etc. Weighing smarties of different colours could also be done to find if there are any differences between them. Or even counting how many smarties of different colours you get in different packets. But yet again an investigation like this would be harder to carry out, as you would need at least fifty packets of smarties to carry out a small scale investigation Also, a larger sample size could be taken to determine the mean and variance more accurately, a lot more accurately in fact. Lastly, I could have extended my confidence interval calculations; I could have included a 99% confidence of the mean varying only à ¯Ã‚ ¿Ã‚ ½ 0.001g, which would have shown I would have needed a massive sample, possibly over 20,000 to get that much confidence in such a small interval.