Box Plot Statistics:
From: | To: |
A box plot (or box-and-whisker plot) is a standardized way of displaying the distribution of data based on a five number summary: minimum, first quartile (Q1), median, third quartile (Q3), and maximum. It shows outliers and the spread of the data.
The calculator computes key box plot statistics:
Where:
Details: Box plots provide a visual summary of data distribution, highlighting central tendency, variability, and outliers. They're useful for comparing distributions between groups.
Tips: Enter numerical values separated by commas. The calculator will sort the data and compute all box plot statistics automatically.
Q1: What does the IQR represent?
A: The IQR (Interquartile Range) shows the range of the middle 50% of the data, measuring statistical dispersion.
Q2: How are outliers determined?
A: Points falling below Q1-1.5×IQR or above Q3+1.5×IQR are considered outliers (Tukey's fences).
Q3: What's the difference between box plot and histogram?
A: Box plots summarize distributions with quartiles, while histograms show frequency distributions with bins.
Q4: When should I use a box plot?
A: Ideal for comparing distributions between groups, showing skewness, and identifying outliers.
Q5: How is the median calculated for even numbers?
A: For even numbers, the median is the average of the two middle values after sorting.