Deal with One and Two (Normal) Samples
Compute various descriptive statistics
Show details of an object
Two sided interval estimation of mu of one normal sample
Two sided interval estimation of mu1-mu2 of two normal samples
Two sided interval estimation of mu of one non-normal sample with la...
Two sided or one sided interval estimation of mu of one normal sampl...
Two sided or one sided interval estimation of mu1-mu2 of two normal ...
Two sided interval estimation of sigma^2 of one normal sample
Two sided interval estimation of sigma1^2 / sigma2^2 of two normal s...
Two sided or one sided test of hypothesis of sigma1^2 and sigma2^2...
Two sided or one sided interval estimation of sigma^2 of one normal ...
Two sided or one sided interval estimation of sigma1^2 / sigma2^2 of...
Two sided or one sided test of hypothesis of mu of one normal sample
Two sided or one sided test of hypothesis of mu1 and mu2 of two no...
Deal with one (normal) sample
Deal with one and two (normal) samples
Deal with One and Two (Normal) Samples
Compute the P value
Two sided or one sided test of hypothesis of sigma^2 of one normal s...
We introduce an R function one_two_sample() which can deal with one and two (normal) samples, Ying-Ying Zhang, Yi Wei (2012) <doi:10.2991/asshm-13.2013.29>. For one normal sample x, the function reports descriptive statistics, plot, interval estimation and test of hypothesis of x. For two normal samples x and y, the function reports descriptive statistics, plot, interval estimation and test of hypothesis of x and y, respectively. It also reports interval estimation and test of hypothesis of mu1-mu2 (the difference of the means of x and y) and sigma1^2 / sigma2^2 (the ratio of the variances of x and y), tests whether x and y are from the same population, finds the correlation coefficient of x and y if x and y have the same length.
Useful links