Data Analysis Essay Example | Topics and Well Written Essays - 500 words - 1

Data Analysis - Essay ExampleThe destine and mensuration bending of the five sample data are 192.4 and 39.9554 respectively. From the sample data, the highest weight is 25o while the least weight is cxl hence resulting to a range of 110. The data is positively skewed with the figure standing at 0.311. conflicting in the box and whisker plot above, the graph above does not show a blueprint curve. There exists some outliers in the data hence the no normal distribution. The curve starts in a normal shape, deeps a bit then resumes to normal distribution. The whisker plot and the curve are unalike hence the data does not follow the Empirical Rule.In statistics the accuracy of the results is positively correlated to the tally of the data variables. This explains the difference in mean and SD for the world and the sample variables. The population mean for the entire aggroup is 214.3 pounds and population standard deviation for the entire squad is 44.6 pounds. On the other hand, th e sample mean and standard deviation are 192.4 and 39.9554 respectively. There is a big difference in terms of the statistics because of the difference in the number of data. In a nutshell using the sample data the average weight of a football player is 192.4, while using the population data the average weight is 214.3. This experiences 21.9 differences in mean. This is a actually significant figure that cannot be assumed hence the sample statistics do not fairly form the population parameters.The whisker plot and the normal curve both shows similar results in terms of mean and standard deviation. However, in terms of normal distribution these two analysis tools differ with whisker plots viewing a normal distribution while the curve shows the opposite. In conclusion the sample statistics does not give a good representation of the total population hence to ensure accurate measurement of the teams weight then the number of data should be increased or the whole population data shou ld be