Enter a set of numbers to compute the quadratic mean.
The quadratic mean, also known as the root mean square (RMS), is the square root of the arithmetic mean of the squares of a set of numbers. It is widely used to measure the magnitude of a dataset, particularly in applications involving distances or energy. The formula is: \( R = \sqrt{\frac{1}{n} \sum_{i=1}^{n} x_i^2} \) Where:
Steps:
Solution:
1. Calculate the Sum of the Squared Values:
\( 3^2 + 4^2 + 5^2 = 9 + 16 + 25 = 50 \)
2. Mean of the Squares:
\( \frac{50}{3} \approx 16.66666 \)
3. Quadratic Mean:
\( R = \sqrt{16.66666} \approx 4.08 \)
Solution:
1. Calculate the Sum of the Squared Values:
\( 2^2 + (-2)^2 + 6^2 = 4 + 4 + 36 = 44 \)
2. Mean of the Squares:
\( \frac{44}{3} \approx 14.66666 \)
3. Quadratic Mean:
\( R = \sqrt{14.66666} \approx 3.83 \)