This Demonstration explores the chi-squared distribution for large degrees of freedom , which, when suitably standardized, approaches a standard normal distribution as y->(infinity) by the central limit theorem. In this Demonstration, v can be varied between 1 and 2000 and either the PDF or CDF of the chi-squared and standard normal distribution can be viewed. You can also see the difference between the two distributions, which becomes useful for large vComponente Curricular::Educação Superior::Ciências Exatas e da Terra::Matemátic
According to the central limit theorem, the distribution of the sample mean is approximately normal ...
20 pages, 9 figures. Text at the basis of a talk presented at the 7th International Conference on No...
In this paper, we prove a local limit theorem for the chi-square distribution with $r > 0$ degrees o...
The purpose of this paper is to explain the central limit theorem and its application in research. T...
The Encyclopedia of Educational Research, Measurement, and Evaluation (edited by Bruce B. Frey) is ...
The current study demonstrates that for a large number of independent Gamma (2, 1) distributed rando...
It presents the central limit theorem and a simulation on hypotheses test and probability. Also show...
The Central Limit Theorem states that regardless of the underlying distribution, the distribution of...
We do some exploration to Central Limit Theorem on a real dataset. We intend to conduct this study t...
In the paper by Jiang and Yang (2013), six classical Likelihood Ratio Test (LRT) statistics are stud...
We describe an easy,to,employ, hands,on demonstration using playing cards to illustrate the central ...
Conceitos básicos de probabilidade e estatística.The simulation consists in generating random variab...
Some new upper bounds for noncentral chi-square cdf are derived from the basic symmetries of the mul...
We obtain a new sharp lower estimate for tails of the central chi-square distribution. Using it we p...
The lower the degrees of freedom of a chi2-distribution, the more fat-tailed it is (Fleishman, 1978,...
According to the central limit theorem, the distribution of the sample mean is approximately normal ...
20 pages, 9 figures. Text at the basis of a talk presented at the 7th International Conference on No...
In this paper, we prove a local limit theorem for the chi-square distribution with $r > 0$ degrees o...
The purpose of this paper is to explain the central limit theorem and its application in research. T...
The Encyclopedia of Educational Research, Measurement, and Evaluation (edited by Bruce B. Frey) is ...
The current study demonstrates that for a large number of independent Gamma (2, 1) distributed rando...
It presents the central limit theorem and a simulation on hypotheses test and probability. Also show...
The Central Limit Theorem states that regardless of the underlying distribution, the distribution of...
We do some exploration to Central Limit Theorem on a real dataset. We intend to conduct this study t...
In the paper by Jiang and Yang (2013), six classical Likelihood Ratio Test (LRT) statistics are stud...
We describe an easy,to,employ, hands,on demonstration using playing cards to illustrate the central ...
Conceitos básicos de probabilidade e estatística.The simulation consists in generating random variab...
Some new upper bounds for noncentral chi-square cdf are derived from the basic symmetries of the mul...
We obtain a new sharp lower estimate for tails of the central chi-square distribution. Using it we p...
The lower the degrees of freedom of a chi2-distribution, the more fat-tailed it is (Fleishman, 1978,...
According to the central limit theorem, the distribution of the sample mean is approximately normal ...
20 pages, 9 figures. Text at the basis of a talk presented at the 7th International Conference on No...
In this paper, we prove a local limit theorem for the chi-square distribution with $r > 0$ degrees o...