How did music influence dictator and their politics Essay

How did music influence dictator and their politics - Essay Example The interesting thing about all the three is that they all hated jazz music. Jazz, being based on improvisation, was for them a synonym of freedom, which is not what was needed for an authoritarian regime. As a result, all the three dictators prohibited jazz and other western music in their countries. The favorite composers of Hitler were Ludwig van Beethoven, Richard Wagner, and Anton Bruckner. Their powerful, heroic, and especially marshal pieces were inspiring the dictator and, finally, he promoted the three composers as examples of great artists of the Nazi Germany. As a result, it came out that Hitler was supporting the German musical tradition, but suppressed creativity – everything was to be close to the set standards. Situation in the Soviet Union was quite similar. However, the emphasis of Stalin was not on classical music, but on ‘soviet’ music instead. Composers and song writers were to write only ‘politically correct’ compositions that supported the ideology of the USSR. Most of those willing to create freely did not survive the

Stats Report Statistics Project Example | Topics and Well Written Essays - 1250 words

Stats Report - Statistics Project Example Bar and line trend graphs were drawn to show the temperature relationships between the two stations. From the results, it was concluded that the mean maximum temperature showed a falling trend for the two stations. Similarly, the average minimum temperature for the months under investigation equally showed a declining trend. In conclusion, therefore, Gold Coast station is warmer relative to Toowoomba Airport based on both the maximum and minimum average temperatures measured. Statistics is a branch of mathematics dealing with collecting, analyzing, summarizing, interpreting and making inferences give meaningful information about a population or a sample. Statistical methods not only summarize past data through such indicators as the measures of central tendency and measures of dispersion, but they can also predict future events using frequency distribution functions. Statistics provides ways to design efficient and convenient experiments that eliminate time-consuming trial and error. For example, among the various applications of statistics include Double-blind tests for opinion polls, aptitude and intelligence tests, medical, biological, and industrial experiments which apply statistical methods and theories to reach useful inferences. Statistics has a wide application in our daily lives. To illustrate how statistics can be a powerful tool Lorentzen analyzed sea temperature data sampled at Station-M in the Norwegian Sea (Lorentzen, 2014). In this study, the data covered the period between 1948–2010. In this research, descriptive statistics showed that the temperature level had been on a positive trend since the beginning of the 1980s that was also measured in most of the oceans in the North Atlantic. Furthermore, the study showed that the temperature series are co-integrated which meant they shared the same long-term stochastic trend, and they did not diverge too far from each other. The calculated long-term temperature increase is one of the factors