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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.
An analyst counted 17 A/B runs and 26 time series observations. Do these results suggest that the data are nonrandom? Explain
The function of a variable t which, when extended formally as a power series in t, yields factorial moments as the coefficients of the respective powers. If the P(t) is probability
You have probably noticed by now that some of the statements of necessary and sufficient conditions sound more natural than others. For example it seems more natural to express "We
Described by the leading proponent as 'the conscientious, explicit, and judicious uses of present best evidence in making the decisions about the care of individual patients, and
In an experiment, power is a function of 1. The number of variables being measured and the beta level 2. The effect size, internal validity and the beta level 3. The number of part
Hypergeometric distribution is t he probability distribution related with the sampling without replacement from the population of finite size. If the population comprises of r ele
Over dispersion is the phenomenon which occurs when empirical variance in the data exceeds the nominal variance under some supposed model. Most often encountered when the modeling
Write a c++ program to find the sum of 0.123 ? 103 and 0.456 ? 102 and write the result in three significant digits
Profile plots is a technique of representing the multivariate data graphically. Each of the observation is represented by a diagram comprising of a sequence of equispaced vertical
The regression analysis is used to fit a model describing the relationship of a dependent variable with independent variable(s). Here we have fitted three regression models:
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