Sxx Variance Formula -

where E denotes the expected value, and μ represents the population mean.

s² = Sxx / (n-1)

For a sample of data, we use the sample mean (x̄) as an estimate of the population mean (μ). The sample variance (s²) is calculated as: Sxx Variance Formula

Finally, calculate Sxx:

Variance (σ²) = E[(xi - μ)²]

First, calculate the mean:

| Student | Score | Deviation from mean | Squared deviation | | --- | --- | --- | --- | | 1 | 80 | 0 | 0 | | 2 | 70 | -10 | 100 | | 3 | 90 | 10 | 100 | | 4 | 85 | 5 | 25 | | 5 | 75 | -5 | 25 | where E denotes the expected value, and μ

Q: What is the difference between Sxx and Syy? A: Sxx and Syy are both sum of squares formulas, but Sxx represents the sum of squared deviations from the mean of x, while Syy represents the sum of squared deviations from the mean of y.