Answer:
To calculate the average return for X, sum up all the returns and divide by the number of data points:
Average return for X = (17 + 31 + 12 - 24 + 10) / 5 = 9.20%
To calculate the average return for Y, sum up all the returns and divide by the number of data points:
Average return for Y = (22 + 32 + 16 - 29 + 23) / 5 = 12.80%
To calculate the variance for X, subtract each return from the average return, square the differences, sum them up, and divide by the number of data points minus one:
Variance for X = [(17 - 9.20)^2 + (31 - 9.20)^2 + (12 - 9.20)^2 + (-24 - 9.20)^2 + (10 - 9.20)^2] / (5-1) = 363.60
To calculate the variance for Y, subtract each return from the average return, square the differences, sum them up, and divide by the number of data points minus one:
Variance for Y = [(22 - 12.80)^2 + (32 - 12.80)^2 + (16 - 12.80)^2 + (-29 - 12.80)^2 + (23 - 12.80)^2] / (5-1) = 617.40
To calculate the standard deviation for X, take the square root of the variance:
Standard deviation for X = √363.60 ≈ 19.07
To calculate the standard deviation for Y, take the square root of the variance:
Standard deviation for Y = √617.40 ≈ 24.84
Therefore:
Average return for X: 9.20%
Average return for Y: 12.80%
Variance for X: 363.60
Variance for Y: 617.40
Standard deviation for X: 19.07
Standard deviation for Y: 24.84
Explanation: