Chi Square Random Variables are Sums of Squares of Independent Normals. These actually have a Gamma Distribution. Because these are SUMS, they are approximately normal for large number of terms. We develop this theory now.
S2: Proof that Sums of Squares of Normals is Chi Square
S3: Cochran's Theorem by Induction
S5: Application -- Is there significant difference between male and female responses?