Sunday, June 9, 2019

Statistics Project Example | Topics and Well Written Essays - 1000 words

Statistics Project ExampleTherefore, financial status and depression are overcritical factors in determining well-being of individual consequently appropriate measures to the report.The absolute frequency histogram shows an almost normally distributed curve. However, the explicit results show a negatively skewed distribution. The frequency for males is more than that of the female gender. This shows that more males suffer from post-traumatic stress disorder as compared to male. The number of people that experience from post-traumatic disorder-from the sample-are 230. Out of the 230, 130 are males while light speed are females as per the histogram.The distribution of subjective class identification closely matches the normal curve. This shows that 68% of the observations fall within one standard deviation of the stiff 2.39. On the other hand, 99.7% of the observations fall within 3 standard deviation of the mean. The normal Q-Q plots also confirms the normal distribution of the s ubjective class identification.The confidence musical interval for Posttraumatic Stress Disorder is 12.35 and 14.73 for lower bound and upper bound respectively. This means that we are 95% confident that the true mean of Posttraumatic Stress Disorder is amid 12.35 and 14.74. The corresponding =0.05.When testing for normality, the normality table and the normal Q-Q plots become important as the numerical and graphical methods respectively. The normality table represents the result for Shapiro-Wilk Test and the Kolmogorov-Smirnov Test. In this case, we will use Shapiro-Wilk Test because the data is less than 2000. The sig. value (0.000) of the Shapiro-Wilk Test is less than 0.05 hence the data is not normally distributed. The data significantly curve from a normal distribution. We have also used the Q-Q plot to determine normality graphically. The data points stray from the line in a non-linear fashion hence the data is not normally distributed. To correct the distribution of age of the respondents, I have

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