Limitations of arithmetic mean, Applied Statistics

The calculations of arithmetic mean may be simple and foolproof, but the application of the result may not be so foolproof. An arithmetic mean may not merely lack significance; it may well be positively misleading. Mean should never be accepted as significant without supporting credentials 

Posted Date: 9/14/2012 1:43:30 AM | Location : United States







Related Discussions:- Limitations of arithmetic mean, Assignment Help, Ask Question on Limitations of arithmetic mean, Get Answer, Expert's Help, Limitations of arithmetic mean Discussions

Write discussion on Limitations of arithmetic mean
Your posts are moderated
Related Questions
The cornlnunalities h j represent the fraction of the total variance' 'accounted for of variabie j. Ry calculating the communalities we can keep track of how much of-the orig


While there are p original variables the number of principal components is m such that m

Chi-square analysis can be used with both Goodness-of-Fit Tests and with Tests for Independence. There are specific instances when each test should be used based on the information

Normal Distribution Meaning: According  to ya Lun Chou  There perfectly smooth and symmetrical  curve, resulting  from the expansion of the binomial (p+q) n    when n approac

A. Compute descriptive statistics for each stock and the S&P 500. Comment on your results. Which stocks are most volatile?

To determine the proportion of people in your town who are smokers, it has been decided to poll people at one of the following local spots: (a) the pool hall; (b) the bowling alley

Admixture in human populations The inter-breeding amongst the two or more populations which were previously isolated from each other for the geographical or the cultural reason

Simple Linear Regression One calculate of the risk or volatility of an individual stock is the standard deviation of the total return (capital appreciation plus dividends) over

Let X 1  and X 2  be two independent populations with population means μ 1  and  μ 2  respectively. Two samples are taken, one from each population, of sizes n 1  and n 2  re