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Graphical deception : Statistical graphics which are not as honest as they should be. It is relatively simple.
To mislead the unwary with the graphical material. For instance, consider the plot of the death rate per million from the breast cancer, for number of periods over the last three decades, given in the
Figure drawn below. The rate appears to show the rather alarming increase. Though, when the data are replotted with vertical scale starting from zero, as shown in the Figure drawn below, the increase in the breast cancer death rate is altogether less startling. This instance illustrates that undue exaggeration or the compression of the scales is best avoided while drawing graphs. For one more example of a common graphical distortion see lie factor.
A radically different approach of dealing with the uncertainty than the traditional probabilistic and the statistical methods. The necessary feature of the fuzzy set is a membershi
Attitude scaling : The process of analysing the positions of the individuals on scales purporting to measure attitudes, for instance a liberal-conservative scale, ora risk-willingn
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The term used when the aggregated data (for instance, aggregated over different areas) are analysed and the results supposed to apply to the relationships at the individual level.
The results of a survey determined whether the age of a driver 21 years and older has any effect on the number of motor vehicle accidents in which he/she is involved. Question 1:
Bimodal distribution : The probability distribution, or we can simply say the frequency distribution, with two modes. Figure 15 shows the example of each of them
Designs which permits two or more questions to be addressed in the investigation. The easiest factorial design is one in which each of the two treatments or interventions are p
5. Packages from a machine a normally distributed with a mean 200g and its standard deviation 2grams. Find the probability that a package from the machine weighs a) Less than
Human height growth curves : The growth of human height is, in common, remarkably regular, apart from the pubertal growth spurt. The satisfactory longitudinal development curve is
Regression line drawn as y= c+ 1075x ,when x was2, and y was 239,given that y intercept was 11. Calculate the residual ?
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