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Correspondence analysis is an exploratory technique used to analyze simple two-way and multi-way tables containing measures of correspondence between the rows and colulnns of any given data. The results provide information almost similar to those produced by Factor Analysis techniques, and they allow us to explore the structure of categorical variables included in the table. Multiple correspondence analysis (MCA) is an extension of simple correspondence analysis to more than two variables. MCA can be used to analyze several contingency tables by generalizing CA.
Problem 1 Do male and female students differ significantly in regard to their average math achievement scores, grades in high school, and visualization test scores? Can you con
Examples of grouped, simple and frequency distribution data
Mode Mode is the value of the observation which occurs with the greatest frequency and thus it is the most fashionable value, Mode has been derived from French word La m
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Measures of Dispersion Box 3: Food vs. Oil Below are the figures for foodgrain procurement and cr
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the sum of mean and variance ofabinomia distribution of 5 trials is 9/5, find the binomial distribution.
Cause and Effect Even a highly significant correlation does not necessarily mean that a cause and effect relationship exists between the two variables. Thus, correlation does
(a) Elevation (m) 0 400 800 1200 1600 2000 2400 2800 3200 4000 480
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