FREQUENCY DISTRIBUTIONS Assignment Example | Topics and Well Written Essays - 750 words

FREQUENCY DISTRIBUTIONS - Assignment ExampleThe average minutes that I use in physical fitness training, every day, is equal to 50.8. The figure is from information collected for duration of 10 days. The list number of minutes worn-out(a) on physical fitness training is 38 minutes and the highest number of minutes is 60.The standard deviation is the square root of the variance. The standard deviation of the preceding(prenominal) info is 9.33 subject matter that, on average, every value of the collected data is far from the soused by 9.33 units.Data falling inside the range embarrass 60,60,38,38,58,58,58,41,41,56, meaning that 100 percent of the sample is within the range. For normally distributed data, only 5 percent of the value should fall outside the above range. Therefore, the above data is normally distributed. Additionally, the data does not have any outlets, which reflects the fact that it is normally distributed. A curve for a normally distributed data is bell shaped a nd symmetric, meaning that the data has an equal spread on both sides of the curve (William, 2003). The data is also continuous on both sides of the bell shape. Comparing normally distributed data and non-normal data, the estimates from normal data are more accurate compared to estimates from data that is not normally distributed (Bryc, 2013).When defining normally distributed data, one must specify two quantities, including the mean () and the standard deviation ().which reflects the spread of the curve. Different values of the mean and standard deviation yield different normal curves thus different normal distributions. anyways the 95 percent test, 99.7 percent test is also applicable while determining if data is normally distributed. 99.7 percent of all the values should fall within three standard deviations from the mean. In other words, they should fall between -3 and +3 (Berman, 2013).More than 99.7% of the data fall within the range reflecting the fact that the data has a no rmal distribution. One of it implications