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Hi! With the following script, I'm trying to make a demonstration of a Confidence Interval, but I'm observing some differences on tails. # Teste de média entre uma amostra e uma população normal # Autor: Raphael de Freitas Saldanha # Agosto de 2008 n <- 200 # Sample size xbar <- 100 # Sample mean s <- 2 # Sample SD nc <- 0.95 # Confidence level (95%

Ol?. Tenho um arquivo que a cada 6 linhas corresponde uma amostra da qual preciso dos coeficientes da regress?o linear. Como fa?o para que o programa distinga a cada 6 linhas como uma amostra e n?o calcule como um todo? Estou usando a fun??o: model=lm(y ~ x) Sueli Rodrigues Eng. Agr?noma - UNESP Mestranda - USP/ESALQ PPG-Solos e Nutri??o de Plantas Fones (19)93442981 (19)33719762

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Dear R users, I?m trying to optimize simultaneously two binomials inequalities used to acceptance sampling, which are nonlinear solution, so there is no simple direct solution. The 'n' represents the sample size and the 'c' an acceptance number or maximum number of defects (nonconforming) in sample size. The objective is to obtain the smallest value of 'n' (sample size)