Understanding sports statistics is important for checking how players are doing and how consistent they are. Here are some simple ways to look at that data:

• Range: This shows the difference between the highest and lowest scores. It helps us see how much scores vary. For example, in basketball, if players score $12, 15, 22, and 30$ points, the range is $30 - 12 = 18$. This means there's an 18-point difference between the highest and lowest scores.

• Interquartile Range (IQR): This measure looks at the middle half of the data. It is found by subtracting the first quarter of the data (Q1) from the third quarter (Q3). So, if Q3 is $25$ and Q1 is $15$, then the IQR would be $10$. This helps us understand where most scores fall.

• Variance and Standard Deviation: These two terms help us understand how scores are spread out around the average (mean). If the average score is $20$ and the variance (which tells us how much scores differ) is $4$, then the standard deviation (which shows us the average distance of scores from the mean) would be $2$. This means most scores are within $2$ points of the average score, which can help coaches make better decisions.

Overall, these measures help us see how consistent players are and spot any trends in performance.