Titlebook: Introduction to Statistics for the Social Sciences; T. G. Connolly,W. Sluckin Book 1971 Palgrave Macmillan, a division of Macmillan Publis

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Measures of Variability, does it give us a complete picture. When it is necessary to compare two distributions, if the comparison is made solely on the basis of the averages, quite wrong conclusions may be drawn. Other statistical measurements must be used with averages to amplify the description of a set of data. We shall

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Sampling Methods,e determination of values of central tendency and dispersion usually, the arithmetic mean and the standard deviation. Other features of the distribution, such as its skewness, its peakiness (or the so-called kurtosis), and a measure of its departure from some expected distribution may also be requir

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Statistical Prediction,for example, we know that a school-leaver has always in the past done well in examinations, we should be inclined to expect him to be successful at university. More precisely, assuming that there is a moderate positive correlation between people ’s school examination results and their university deg

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Some Further Correlation Methods,trict one. In the present chapter we shall deal with several other methods which, although open to certain criticisms and subject to various limitations, are very useful when not all or when none of the sets of correlated data are given in the form of frequency distribution of measures.

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The Analysis of Variance,t infrequently one is confronted with several groups, wondering whether they may all be regarded as samples of the same population, or alternatively whether the groups differ so considerably from one another that the null hypothesis of a common parent population behind all the groups must be rejecte