Root mean square deviation, Applied Statistics

Root Mean Square Deviation

The standard deviation is also called the ROOT MEAN SQUARE DEVIATION. This is because it is the

ROOT (Step 4)

of the MEAN (Step 3)

of the SQUARES (Step 2)

of the DEVIATIONS (Step 1) of the observations from their mean.

    The standard deviation is a measure of dispersion.

    It is expressed in the same units as the data.

    It is superior to other measures of dispersion because the positive and negative deviations do not cancel out.

    It does not involve quantities like |X – Mean| which have two meanings.

    It is also known as the root mean square deviation.

Posted Date: 9/14/2012 3:05:19 AM | Location : United States







Related Discussions:- Root mean square deviation, Assignment Help, Ask Question on Root mean square deviation, Get Answer, Expert's Help, Root mean square deviation Discussions

Write discussion on Root mean square deviation
Your posts are moderated
Related Questions
Problem : A company supplying electrical products, places a rush order for electric wires. Consignments of wires are to be sent immediately when they are available. Previous

Sampling A  Population  is a collection of all the data points being studied. For example, if we are studying the annual incomes of all the people in India, then the population

Circles or Pie Diagram: Circles or pie diagrams are alternative to squares. These are used  for the same purpose i.e. when  the values are differing  widely in their magnitude

The Null Hypothesis - H0:  The random errors will be normally distributed The Alternative Hypothesis - H1:  The random errors are not normally distributed Reject H0: when P-v

merits and demerits of methods to determin trends

In PCA the eigknvalues must ultimately account for all of the variance. There is no probability,'no hypothesis, no test because strictly speaking PCA is not a statistical procedure

A sample of college students and a separate sample of adults aged 30-59 were surveyed regarding the amount of fruit they eat each day.  The results are shown in the histograms belo

The prevalence of undetected diabetes in a population to be screened is approximately 1.5% and it is assumed that 10,000 persons will be screened. The screening test will measure

As one of the oldest multivariate statistical methods of data reduction, Principal Component Analysis (PCA)simplifies a dataset by producing a small number of derived

for this proportion, use the +-2 rule of thumb to determine the 95 percent confidence interval. when asked if they are satisfied with their financial situation, .29 said "very sat