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Last weeks online lecture contained code very similar to the following improved code:population < - c ( rep ( 1 , 1 0 0 0

Last weeks online lecture contained code very similar to the following improved code:population <- c(rep(1,10000), rep(0,5000))samples_of_20<- c() for (i in c(1:5000)){x <-sum(sample(population,20))/20samples_of_20<- c(samples_of_20, x)}barplot(table(samples_of_20))Run the above code and use [] to list all the means in your 5,000 samples of 20 that are between 0.7 and 0.8

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