Analytics and Modern Warfare: Dominance by the Numbers by M. Taillard

By M. Taillard

This e-book info very easily and for even the main beginner of power analysts not just the right way to practice analytics which describe what's taking place, expect what will ensue, and optimize responses, but in addition areas those analytics within the context of proactive approach improvement.

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Extra resources for Analytics and Modern Warfare: Dominance by the Numbers

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Suffice it to say, that getting as large a sample as possible is of the utmost importance, because these things will be strong determinants of the accuracy of any analysis, and the strength of statistical tests used. There are a variety of different statistical tests that will be discussed during all three parts of this book, but what is important now is to understand how each can be incorporated into a model. As noted near the beginning of this chapter, models are composed of several pieces: the statistical units, the covariance between those statistical units, and the degree of response to which the calculation responds 30 M Analytics and Modern Warfare to each statistical unit.

The IQ range is exactly what the name says: the range of the middle two quarters of the data set. To measure this, divide the data set into four equal parts of equal volumes of x, start with the highest value of the third highest quarter, and then subtract the lowest value of the second highest quarter, as in the following: With a data set {1, 5, 6, 7}, the middle two quarters are {5, 6}, making the IQ range 6 − 5 = 1. 2. Another way to look at the distribution of data, rather than the range of possible values, is by measuring the degree to which the values deviate from the mean, called the deviation.

For example, it is common to study the people of the United States by using Omaha, Nebraska as a sample, because Omaha’s demographics match very closely with those of the US population, and choosing Omaha is a deliberate choice of sample that involves no probability. Quota sampling is common, in which subjects being measured are chosen to fulfill a quote of particular traits, while judgment sampling uses the judgment of someone experienced in the field, but these are often subject to systematic bias errors and must be utilized only when there is some very specific reason for them.

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