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
Using Chi Square Test when more than two Rows are Present   To understand this, let us consider the contingency table shown below. It gives us the information about the stage

This question explores the effect of estimation error on apparent arbitrage opportunities in a controlled simulation setting. We simulate returns for N = 10 assets over T = 30 year

Scenario : Mrs dick's year 1s and 2s carried out a level-one science investigation to explain the changes in a particular plant over a period of time.  As part of the investigation

Question: A car was machine washes each car in 5 minutes exactly. It has been estimated that customers will arrive according to a Poisson distribution at an average of 8 per hour.

An approximation to the error of a Riemannian sum: where V g (a; b) is the total variation of g on [a, b] de ned by the sup over all partitions on [a, b], including (a; b

The first step in this case is to ensure that you are adequately clear on the General Linear Model and its relationship to both ANOVA and regression. The distinction is approxim

Consider the following linear regression model:      a) What does y and x 1 , x 2 , . . . . x k represent?      b) What does β o , β 1 , β 2 , . . . . β k represent?

There may be two values which occur with the same maximum frequency. The distribution is then called bimodal. In a bimodal distribution, the value of mode cannot be determined with

The 4 assumptions of regression: 1.       Variables are normally distributed 2.       Linear relationship between the independent and dependent variables 3.       Homosced

Definition of Correlation According  to prof, king correlation means that between two series or group  of data  there  exists  some casual connection  prof, king  has also  exp