Let \sum_{i=1}^{9}x_{i}^{2}=855. If M is the mean and \sigma is the standard deviation of x_{1},x_{2},\dots,x_{9}, then what is the value of M^{2}+\sigma^{2}?
- A. 100
- B. 95 ✓
- C. 90
- D. 85
Correct Answer: B. 95
Explanation
The formula for variance is \sigma^2 = \frac{\sum x_i^2}{N} - M^2. Rearranging this gives M^2 + \sigma^2 = \frac{\sum x_i^2}{N}. Substituting the given values N=9 and \sum x_i^2 = 855, we get M^2 + \sigma^2 = \frac{855}{9} = 95.
Related questions on Statistics & Probability
- Let x be the mean of squares of first n natural numbers and y be the square of mean of first n natural numbers. If $\frac{x}{y}=\fra...
- What is the probability of getting a composite number in the list of natural numbers from 1 to 50?
- Two numbers x and y are chosen at random from a set of first 10 natural numbers. What is the probability that (x+y) is divisible by 4?
- A number x is chosen at random from first n natural numbers. What is the probability that the number chosen satisfies $x+\frac{1}{x} \gt...
- Three fair dice are tossed once. What is the probability that they show different numbers that are in AP?