# `N` represents the number of people polled N <- 25 # Create a variable `p` that contains 100 proportions ranging from 0 to 1 p <- seq(0,1, by = 0.01) # Create a variable `se` that contains the standard error of each sample average se <- sqrt(p * (1 - p)) / N # Plot `p` on the x-axis and `se` on the y-axis plot(p,se)
What I am trying to do :
Write a line of code that calculates the standard error se of a sample average when you poll 25 people in the population. Generate a sequence of 100 proportions of Democrats p that vary from 0 (no Democrats) to 1 (all Democrats).
Plot se versus p for the 100 different proportions.
Trying to convert this math notation to R code, and having trouble defining the "se" variable:
SE(X) = SQRT(p(1 - p)) / N
I think you just need to put the
/N inside the parentheses for the square root function:
se <- sqrt(p * (1 - p) / N )
yes. I got it now. thank you