If \( x_1, i=2, 3, \ldots, n \) are \( n \) observations such that \( \sum_{i=1}^{n} x_i^2 = 550 \), mean \( \bar{x} = 5 \) and variance is zero, then the number of observations is equal to:
Show Hint
When the variance is zero, all the observations must be equal to the mean.
We are given the following information:
- The mean \( \bar{x} = 5 \)
- The variance is zero
- The sum of the squares of the observations \( \sum_{i=1}^{n} x_i^2 = 550 \)
Variance is calculated as:
\[
{Variance} = \frac{1}{n} \sum_{i=1}^{n} x_i^2 - \bar{x}^2
\]
Since the variance is zero:
\[
\frac{1}{n} \sum_{i=1}^{n} x_i^2 - \bar{x}^2 = 0
\]
Substitute \( \bar{x} = 5 \) into the equation:
\[
\frac{1}{n} \sum_{i=1}^{n} x_i^2 - 25 = 0
\]
Thus,
\[
\frac{1}{n} \sum_{i=1}^{n} x_i^2 = 25
\]
We are also given that \( \sum_{i=1}^{n} x_i^2 = 550 \), so:
\[
\frac{550}{n} = 25
\]
Solving for \( n \):
\[
n = \frac{550}{25} = 22
\]
Thus, the number of observations is \( n = 22 \).