Hello,
Is there a built-in test in R for hypothesis testing with samples of known variance?
For example, I've got a set of data, a mean to compare against, and a known variance, and I want to determine the p-value for which I can reject the null hypothesis (mu_1 = mu_0) and accept the alternative (mu_1 > mu_0). I've found that JMP and Minitab can both do this (in JMP, it's a one-sided confidence interval in the Distribution platform), but I haven't figured out how to do such a test in R.
Thanks,
Tom
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