Continuous variable, Advanced Statistics

Continuous variable: The measurement which is not restricted to the particular values except in so far as this is constrained by the accuracy of measuring instrument. General examples include temperature, weight, height, and blood pressure. For this type of variable equal sized differences on the different parts of the scale are equivalent.

Posted Date: 7/27/2012 12:59:20 AM | Location : United States







Related Discussions:- Continuous variable, Assignment Help, Ask Question on Continuous variable, Get Answer, Expert's Help, Continuous variable Discussions

Write discussion on Continuous variable
Your posts are moderated
Related Questions
Codominance : The relationship between genotype at the locus and a phenotype to which it in?uences. If an individuals with heterozygote (such as, AB) genotype is phenotypically dif

Cluster sampling : A method or technique of sampling in which the members of the population are arranged in groups (called as 'clusters'). A number of clusters are selected at the

Continuous variable : The measurement which is not restricted to the particular values except in so far as this is constrained by the accuracy of measuring instrument. General exam

In the time series plot and scatter graphs there were many outliers that were clearly visible. These have been removed to identify if they were influential or had high leverage and

meaning,uses,shortcomings and drawbacks of vital statistics

Prevalence : The measure of the number of people in a population who have a certain disease at a given point in time. It c an be measured by two methods, as point prevalence and p

Independent component analysis (ICA) is the technique for analyzing the complex measured quantities thought to be mixtures of other more fundamental quantities, into their fundamen

Cluster randomization : The random allocation of the groups or clusters of the individuals in the formation of treatment groups.Eeven though not as statistically ef?cient as the in

The term used when the aggregated data (for instance, aggregated over different areas) are analysed and the results supposed to apply to the relationships at the individual level.

Meta-analysis is the collection of techniques whereby the results of two or more independent studies are statistically combined to yield the overall answer to a question of intere