代写范文

留学资讯

写作技巧

论文代写专题

服务承诺

资金托管
原创保证
实力保障
24小时客服
使命必达

51Due提供Essay,Paper,Report,Assignment等学科作业的代写与辅导,同时涵盖Personal Statement,转学申请等留学文书代写。

51Due将让你达成学业目标
51Due将让你达成学业目标
51Due将让你达成学业目标
51Due将让你达成学业目标

私人订制你的未来职场 世界名企,高端行业岗位等 在新的起点上实现更高水平的发展

积累工作经验
多元化文化交流
专业实操技能
建立人际资源圈

Tasmania

2013-11-13 来源: 类别: 更多范文

Cultural funding by state Overall, New South Wales (NSW) has the highest cultural spending by state compared with other regions in Australia. It would appear that this is due to NSW having the highest population density of all the country’s states. This seems to be a natural progression as all the regions in descending order of state show corresponding figures relative to their own population density (with the exception of Western Australia (WA) which shows a higher spending relative to its counterparts). Tasmania (TAS), with the second least overall cultural expenditure by state has roughly 10% of NSW population and equally, 10% of NSW Heritage spending. However, TAS lacks considerably with only 4.3% of NSW Arts spending which is half of what it should be if we relate the states by their population density. Cultural funding per person By contrast to above, the Northern Territory (NT), a region with the second least population in the country has easily the highest cultural spending per capita than any other state. The data obtained and shown in the graph supplied shows a pattern almost opposite to that of Cultural funding by state. The graph displays a large decline in cultural spending per person as the population by state proportionately increases. Tasmania, with the third least population in the country reflects in this case the third highest cultural funding per capita; but again has the least Arts funding per person even compared to the largest state (NSW). Bear Markets and the S&P 500 From this sample we are able to deduce that Standard & Poor’s 500 (S&P 500) had its greatest percentage loss over a period of 34 months between September 1929 and June 1932. We can also see that the S&P 500 has not experienced a loss of this magnitude or duration since. From the data chronologically recorded, it appears that the bear markets that occurred in the S&P 500 were anything but predictable; neither could anyone accurately estimate how long a bear market would last or how large an impact of percentage loss the stock traded on the S&P 500 would experience. After analysing the given data, we are able to deduce that the duration of a bear market in the S&P 500 does not necessarily determine a corresponding percentage loss (except for the above mentioned extreme case); however, the duration of the bear market will naturally accrue a significant percentage loss in the traded stock over time. This is seen in the following examples from the data supplied between the periods of: August 1956 and February 1957 (7 months) where the least percentage loss on the S&P 500 was seen at 10% compared to the lesser period between July 1998 and August 1998 (2 months) where a greater loss of 15.4% was realised. AND January 1973 and September 1974 (21 months) the percentage loss on the S&P 500 was observed at 42.6% compared to the greater period between September 2000 and March 2003 (31 months) where a smaller loss of 42% was seen. According to the data provided regarding the percentage of revenue in US commercial banks in 2003, a frequency polygon has been graphed and the following results assumed: From the mean, mode and median (and frequency polygon) we are able to determine that the central location of the above data (percentage revenue) is approximately 18-19% From the results of calculating the variability (dispersion) of the data we can conclude that: With a range of 25%, the percentage of revenue in US commercial banks lies between 6 and 31%. The middle 50% range (IQR) of the percentage of revenue in US commercial banks lies between 16.5 and 20.5%. The standard deviation of the data is 4.45%; i.e. most of the variability lies 4.45% around the mean of 18.67% as can be seen with the central tendency of the frequency polygon. The coefficient of variation (CV) provides the dispersion percentage of variation relative to the mean profit as a percentage of revenue; in this case the CV is 23.56%, as a result this figure being smaller than 1, reflects a low variance in dispersion. The shape of the frequency polygon is mildly asymmetrical. Tas
上一篇:Teaching_Assistants_Role 下一篇:Strategic_Management