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Box Plot Calculator Statistics

Box Plot Statistics:

\[ \text{Box Plot} = \left[\text{Minimum}, Q1, \text{Median}, Q3, \text{Maximum}\right] \] \[ \text{IQR} = Q3 - Q1 \] \[ \text{Outliers} = \begin{cases} \text{Below} & Q1 - 1.5 \times IQR \\ \text{Above} & Q3 + 1.5 \times IQR \end{cases} \]

e.g. 12,15,17,19,20,22,25

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1. What is a Box Plot?

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.

2. How Does the Calculator Work?

The calculator computes key box plot statistics:

\[ \text{Five Number Summary} = \left[\text{Minimum}, Q1, \text{Median}, Q3, \text{Maximum}\right] \] \[ \text{IQR} = Q3 - Q1 \] \[ \text{Outlier Boundaries} = \begin{cases} \text{Lower} & Q1 - 1.5 \times IQR \\ \text{Upper} & Q3 + 1.5 \times IQR \end{cases} \]

Where:

3. Importance of Box Plots

Details: Box plots provide a visual summary of data distribution, highlighting central tendency, variability, and outliers. They're useful for comparing distributions between groups.

4. Using the Calculator

Tips: Enter numerical values separated by commas. The calculator will sort the data and compute all box plot statistics automatically.

5. Frequently Asked Questions (FAQ)

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.

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