5 Number Summary:
Minimum:
Q1 (First Quartile):
Median:
Q3 (Third Quartile):
Maximum:
From: | To: |
The 5 number summary is a statistical method that provides a concise description of a dataset. It consists of five values: the minimum, first quartile (Q1), median (second quartile), third quartile (Q3), and maximum. These values are used to create boxplots and understand the distribution of data.
The calculator processes your data through these steps:
Quartile Calculation: The calculator uses linear interpolation between data points to calculate percentiles, which provides more accurate results than simpler methods.
Details: The 5 number summary is crucial for understanding data distribution, identifying outliers, and creating boxplots. It provides more information than just the mean and standard deviation by showing the spread and skewness of the data.
Tips: Enter your numerical data separated by commas (e.g., 12, 15, 18, 22, 25, 28, 30). The calculator will ignore any non-numeric values. For best results, provide at least 5 data points.
Q1: What's the difference between quartiles and percentiles?
A: Quartiles are specific percentiles - Q1 is the 25th percentile, median is 50th, and Q3 is 75th percentile.
Q2: How is this used in boxplots?
A: Boxplots visually display the 5 number summary with a box from Q1 to Q3, a line at the median, and whiskers to the min/max.
Q3: What if I have an even number of data points?
A: The calculator uses interpolation to find exact quartile values, which works for both odd and even counts.
Q4: How does this handle outliers?
A: The 5 number summary shows the actual min/max. For outlier detection, use the IQR (Q3-Q1) method.
Q5: Can I use this for non-numerical data?
A: No, the 5 number summary only works with numerical data that can be ordered.