chi-squared dist. converges to normal as df goes to infinity, but.... This is surely going to sound naive, but at least this will make it easy to answer. For a chi-squared distribution, if k = the degrees of freedom, then [a] k = μ = (1/2) σ2 as k goes to infinity, the distribution approaches a normal distribution. But when I put these two together, I get [c] as k goes to infinity, the mean and the variance become infinite which would seem odd for a normal curve. What am I getting wrong here? Thanks in advance.