Write the formula for the sample mean, X, for ʼn data points. Write the formula for the sample variance, S², for n data points.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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**Understanding Sample Statistics**

**Sample Mean (\(\bar{X}\)):**
To calculate the sample mean for a set of \(n\) data points, use the formula:

\[
\bar{X} = \frac{1}{n} \sum_{i=1}^{n} X_i
\]

where \(\bar{X}\) is the sample mean, \(n\) is the number of data points, and \(X_i\) represents each individual data point.

**Sample Variance (\(S^2\)):**
The formula for the sample variance is as follows:

\[
S^2 = \frac{1}{n-1} \sum_{i=1}^{n} (X_i - \bar{X})^2
\]

In this formula, \(S^2\) is the sample variance, and \((X_i - \bar{X})^2\) is the squared deviation of each data point from the sample mean. The denominator \(n-1\) represents the degrees of freedom used in sample variance calculation. This adjustment is necessary to obtain an unbiased estimate of the population variance.
Transcribed Image Text:**Understanding Sample Statistics** **Sample Mean (\(\bar{X}\)):** To calculate the sample mean for a set of \(n\) data points, use the formula: \[ \bar{X} = \frac{1}{n} \sum_{i=1}^{n} X_i \] where \(\bar{X}\) is the sample mean, \(n\) is the number of data points, and \(X_i\) represents each individual data point. **Sample Variance (\(S^2\)):** The formula for the sample variance is as follows: \[ S^2 = \frac{1}{n-1} \sum_{i=1}^{n} (X_i - \bar{X})^2 \] In this formula, \(S^2\) is the sample variance, and \((X_i - \bar{X})^2\) is the squared deviation of each data point from the sample mean. The denominator \(n-1\) represents the degrees of freedom used in sample variance calculation. This adjustment is necessary to obtain an unbiased estimate of the population variance.
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