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Examples of grouped, simple and frequency distribution data
Factor analysis (FA) explains variability among observed random variables in terms of fewer unobserved random variables called factors. The observed variables are expressed in
Linear Programming
Arithmetic Mean The process of computing Arithmetic Mean in the case of individual observations is to take the sum of the values of the variable and then divide by the number
Each weekend, Derek either reads a book (B), goes to the cinema (C), visits his local museum (M), or plays squash (S). If he reads a book one weekend, then he will take part in one
how many types of ogive are there
use of quantitative techniques in public sector
A. Compute descriptive statistics for each stock and the S&P 500. Comment on your results. Which stocks are most volatile?
In the context of multivariate data analysis, one might be faced with a large number of v&iables that are correlated with each other, eventually acting as proxy of each other. This
Advantages It is especially useful in case of open-end classes since only the position and not the values of items must be known. The median is also recommended if th
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