Aiou Solved Assignment 1 Code 394 Autumn 2016 for the students of F A. This is being uploading with complete solution. The code 394 is statistics – I and also read by I.com students. The assignment is totally solved by the statistics professors. Aiou assignment for this code 394 we request you to share with your friends and class mates. By sharing this assignment for code 394 you will really help your friends.
AIOU SOLVED ASSIGNMENT 1 CODE 394 AUTUMN 2016 FOR STATISTICS
One most important topics Kurtosis is discussed and explained in this assignment. This topics kurtosis is part of statistics.
Kurtosis:-In probability theory and statistics, kurtosis is any measure of the “peakedness” of the probability distribution of a real-valued random variable. In a similar way to the concept of skewness, kurtosis is a descriptor of the shape of a probability distribution and, just as for skewness; there are different ways of quantifying it for a theoretical distribution and corresponding ways of estimating it from a sample from a population. There are various interpretations of kurtosis, and of how particular measures should be interpreted; these are primarily peakedness (width of peak), tail weight, and lack of shoulders (distribution primarily peak and tails, not in between).
AIOU SOLVED ASSIGNMENT 1 CODE 394 AUTUMN 2016 MEASURE OF KURTOSIS.
One common measure of kurtosis, originating with Karl Pearson, is based on a scaled version of the fourth moment of the data or population, but it has been argued that this measure really measures heavy tails, and not peakedness. For this measure, higher kurtosis means more of the variance is the result of infrequent extreme deviations, as opposed to frequent modestly sized deviations. It is common practice to use an adjusted version of Pearson’s kurtosis, the excess kurtosis, to provide a comparison of the shape of a given distribution to that of the normal distribution.
AIOU SOLVED ASSIGNMENT 2 CODE 394 AUTUMN 2016
Distributions with negative or positive excess kurtosis are called platy-kurtic distributions or leptokurtic distributions respectively. Alternative measures of kurtosis are: the 1-kurtosis, which is a scaled version of the fourth L-moment; measures based on 4 population or sample quantiles. These correspond to the alternative measures of skewness that are not based on ordinary moments.
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