Answer:
Explanation:
To calculate the variance of a sample, you need to follow these steps:
Find the mean (µ) of the sample.
Subtract the mean from each data value (x - µ).
Square each difference [(x - µ)²].
Calculate the sum of the squared differences.
Divide the sum by the sample size minus 1 (n - 1).
Let's apply these steps to the given sample:
x = 9
µ (mean) = (7 + 15 + 11 + 1 + 11) / 5 = 45 / 5 = 9
(x - µ)² : (7 - 9)² = 4, (15 - 9)² = 36, (11 - 9)² = 4, (1 - 9)² = 64, (11 - 9)² = 4
Sum of squared differences: 4 + 36 + 4 + 64 + 4 = 112
Sample size: n = 5
Variance = Sum of squared differences / (n - 1) = 112 / (5 - 1) = 112 / 4 = 28
Therefore, the variance of the sample is 28. Option C is the correct answer.