Let's say you want to compare "one observation" with a sample, how would you use R to get a p-value for that single observation itself?
To clarify what I'm asking: We know you use a one-sample t test to compare an actual sample to a hypothetical value, and a Wilcoxon test if it's not normally distributed, in R either "t.test( )" or "wilcox.test( )". However, what do you use if you don't want a p-value for a sample itself, but instead want to get a *p-value for the likelihood that just "one observation" could have its distance from a sample just by chance*? Context for my question: Many of us know about the Casey Anthony case, and how the medical examiner said they looked at the records and 100% of all drownings were reported within one hour. It wasn't until a month after when it was finally reported to the police the girl was missing by the grandmother and even longer after that when Casey finally claimed it was really a drowning rather than a "Zanny the Nanny" kidnapping the little girl. So, I want to write the medical examiner to see if I can get a list of how long it took for each of the drownings to be reported (she mentioned in court), then calculate a standard deviation and based on the sample size come up with a p-value for when Cindy Anthony finally reported the grand daughter missing 31 days later. Then another p-value for when Casey Anthony finally claimed it was a drowning years later. How would you calculate a p-value for something like this? I'm guessing the sample will probably not be normally distributed, so what would I use from R if that's case? I'm still quite new to R, so if at all possible don't make your answer too technical. Thanks so much! -- View this message in context: http://r.789695.n4.nabble.com/How-would-you-calculate-this-type-of-p-value-using-R-tp3749115p3749115.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
