Distribución F de Fisher-Snedecor: estimación de la relación de varianzas | 66/71 | UPV
Title: Fisher-Snedecor F Distribution: Estimating the Variance Ratio Description: Example of estimating the ratio of population variances using the Fisher-Snedecor F distribution: Camacho García, A. (2022). Fisher-Snedecor F Distribution: Estimating the Variance Ratio. Universitat Politècnica de València. https://riunet.upv.es/handle/10251/18... DER Automatic description: In this video, the professor explains how to use the Fisher F distribution to estimate the ratio between population variances using samples drawn from two normal populations. He begins by defining the terminology, such as population variance and sample variance, and then demonstrates how to calculate the modified variance of two samples with a concrete example, emphasizing that the modified variance is an unbiased estimator of the population variance. The video then demonstrates how to obtain a 90% confidence interval for the ratio of population variances. It uses modified variance calculations for the samples and describes the procedure for the Fisher F-distribution with degrees of freedom determined by the sample size. It explains how to obtain the necessary percentiles for the confidence interval using spreadsheet programs like Excel and Google Docs and concludes with the estimation of the confidence interval for the ratio of population variances. Finally, the video shows how to generalize the method for estimating the ratio of population variances from any sample and confidence level. The importance of the Fisher F-distribution in statistical estimation is emphasized, and the viewers' attention is thanked. Author: Andrés Camacho García Course: This video is 66/71 of the Statistics and Probability course. • Estadística y Probabilidad Universitat Politècnica de València UPV: https://www.upv.es More videos at: / valenciaupv Access our MOOCs: https://upvx.es #Fisher-Snedecor F-distribution #Probability #Percentile #Sample variance #Population variance #Modified variance #Degrees of freedom #Variance estimation #1209 - Statistics

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