Confidence interval, Advanced Statistics

Confidence interval: A range of the values, calculated from the sample observations which is believed, with the particular probability, to posses the true parameter value. A 95% confidence interval, for instance, implies that were the estimation process which was repeated again and again, then 95% of the calculated intervals would be expected to include the true parameter value. Note that the stated probability level refers to the properties of the interval and not to the parameter itself which is not considered to be the random variable.

Posted Date: 7/27/2012 12:54:59 AM | Location : United States







Related Discussions:- Confidence interval, Assignment Help, Ask Question on Confidence interval, Get Answer, Expert's Help, Confidence interval Discussions

Write discussion on Confidence interval
Your posts are moderated
Related Questions
Geographical information system (gis): The software and hardware configurations through which the digital georeferences are processed and displayed. Used to recognize the geograph

Primary Model Below is a regression analysis without 17 outliers that have been removed Regression Analysis: wfood versus totexp, income, age, nk The regression equat

Confidence interval : A range of the values, calculated from the sample observations which is believed, with the particular probability, to posses the true parameter value. A 95% c

Prepare a 1,400- to 1,750-word paper in which you formulate a hypothesis based on your selected research issue, problem, or opportunity. Address the following: •Describe your sele

An approach of using the likelihood as the basis of estimation without the requirement to specify a parametric family for data. Empirical likelihood can be viewed as the example of

Quality-adjusted survival analysis is a method for evaluating the effects of treatment on survival which allows the consideration of quality of life as well as the quantity of lif

The procedure in which the prior distribution is required in the application of Bayesian inference, it is determined from empirical evidence, namely same data for which the posteri

Per-experiment error rate is the possibility of the incorrectly rejecting at least one null hypothesis or assumption in the experiment including one or more tests or comparisons,

Reinterviewing  is the second interview for a sample of survey respondents in which questions of the original interview (or the subset of them) are repeated again. The same methods

Intention-to-treat analysis is the process in which all the patients randomly allocated to a treatment in the clinical trial are analyzed together as representing that particular