Your sample standard deviation is 13.4907, meaning values typically deviate from the mean (18.0000) by about that amount.
The coefficient of variation is 74.95%, indicating very high relative variability. CV below 10% generally means the dataset is very consistent.
The IQR (15.0000) covers 39.5% of the total range (38.0000), showing how concentrated the middle 50% of values are.
Sample mode uses n - 1 (Bessel's correction) to give an unbiased estimate of the true population variance.
Next stepIf your dataset has extreme outliers, compare standard deviation with MAD and IQR: both are more robust to outliers than variance-based measures.