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Hello guys, I am stuck here: How do I make 1000 samples of n = 10 observations from an Exponential distribution and then compute the mean for all those 1000 samples? Basically I need to prove the Central Limit theorem, which states: http://www.nabble.com/file/p22664113/d175f06cbf200bd52a2c27a2e56dc594.png Where the Sn is sum of random variables, n we have from the question, mu is mean and

Hello everyone. Just have a question , cant figure out how to make this histogram. I have this table, that i stored in a variable name new.data2. Table looks like this Year GeoArea SmpNo Month Gear Maturity Length Age YearC 1989 1 362 10 22 1 225 1 1988 1991 1 267 10 10 1 191 1 1990 1991 1 267 10 10 1 202 1 1990 1992

Hello guys, I have this data set that I imported into R using a line: This data set consists of 7 columns. The two important columns are the first one called 'thrust' and the last one called 'amtemp'. jet<-read.table("jetthrust.txt", fill=T, head=T) I am making a scatterplot matrix simply using the line "pairs(jet)" The problem is that in the last

Hi All, I've been having a little trouble with creating a loop that will run a a series of t.tests for inspection, Below is the code i've tried, and some checks i've looked at. I've used the get(paste()) idea as i was told previously that the use of the eval should try and be avoided. I've run a single syntax to check that my systax is correct and works without any problems