By Abdul Quader Miah
This e-book addresses the appliance of statistical ideas and strategies throughout quite a lot of disciplines. whereas its major concentration is at the software of statistical equipment, theoretical points also are supplied as basic historical past details. It bargains a scientific interpretation of effects usually stumbled on quite often descriptions of tools and methods equivalent to linear and non-linear regression. SPSS is additionally utilized in the entire program points. The presentation of knowledge within the type of tables and graphs through the e-book not just publications clients, but in addition explains the statistical program and assists readers in examining vital beneficial properties. The research of statistical information is gifted continuously in the course of the textual content. educational researchers, practitioners and different clients who paintings with statistical facts will take advantage of interpreting utilized facts for Social and administration Sciences.
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Extra resources for Applied Statistics for Social and Management Sciences
Apparently, they differ. In order to study such situations, we need to study another measure called a measure of dispersion. There are several measures to study the dispersion in the datasets. Broadly these may be enumerated as follows: – – – – – – – – Range Interquartile range (IQR) Mean deviation Variance Standard deviation Coefﬁcient of variation Stem-and-leaf diagram Other measures of dispersion. 1 Range It is the simplest measure of dispersion. It is the absolute difference between the maximum value and the minimum value of the dataset.
4 Variance Variance is the average (mean) of the squared deviations about the mean. , sum of all the deviations about the mean is zero. Variance avoids this problem. It is a good measure of the spread and is the traditional method of measuring the variability of a dataset. 5 Standard Deviation Variance is a measure of dispersion. But there remains a problem. The deviations are squared and hence the unit of the variable is also squared. Thus, there is an inadequacy in measuring the dispersion. In order to correct the inadequacy and to reduce the variance into the original unit of measurement, the square root of the variance is taken.
10. 0 1986 1987 1988 1989 Year 1990 Fig. 5 Investment as a percentage of GDP. Data Source NESDB Thailand Population 2009 64 Years & Over %9 0-14 Years 21% 15-64 Years 70% Fig. 6 Thailand population (2009). Data Source National Statistical Ofﬁce Fig. 7 Thai labor force by occupation. Data Source National Statistical Ofﬁce 22 2 Presentation of Statistical Data Fig. 8 Crushing strength of bricks (histogram) Histogram Frequency 35 Frequency 30 25 20 15 10 5 0 30 0 0 28 0 26 0 22 0 20 0 18 0 16 14 12 0 0 Crushing Strength of Bricks (PSI) Fig.