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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.
The Null Hypothesis - H0: β 1 = 0 i.e. there is homoscedasticity errors and no heteroscedasticity exists The Alternative Hypothesis - H1: β 1 ≠ 0 i.e. there is no homoscedasti
Probit analysis is the technique most commonly employed in the bioassay, specifically toxicological experiments where the group of animals is subjected to known levels of a toxin
Lancaster models : The means of representing the joint distribution of the set of variables in terms of the marginal distributions, supposing all the interactions higher than a par
1. define statistical algorithms 2. write the flow charts for statistical algorithms for sums, squares and products. 3. write flow charts for statistical algorithms to generates ra
1) Consider an antenna with a pattern: G(θ,φ) = sinn(θ/θ0) cos(θ/θ0) where θ0 = Π/1.5 (a) What is the 3-dB bandwidth? (b) What is the 10-dB beam width? (c) What is t
Bubble plot : A method or technique for displaying the observations which involve three variable values. Two of the variables are used to make a scatter diagram and values of the t
how to calculate the semi average method when 8 observations are given?
Johnson''s Job Sequencing for n jobs and 2 machines
One of the most exciting areas of mathematics involves the application of statistics to real-world settings to make informed decisions. In this task you will design, implement, and
Genetic algorithms: The optimization events motivated by the biological analogies. The prime idea is to try to mimic the 'survival of the fittest' rule of the genetic mutation in
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