Box Plot (Box and Whiskers): How to Read & How to Make in GraphPad Prism

WHAT IS A BOX AND WHISKER PLOT?
A box and whisker plot is defined as a graphical method of displaying variation in a set of data. In most cases, a histogram analysis provides a sufficient display, but a box and whisker plot can provide additional detail while allowing multiple sets of data to be displayed in the same graph.
WHY USE A BOX AND WHISKER PLOT?
Box and whisker plots are very effective and easy to read, as they can summarize data from multiple sources and display the results in a single graph. Box and whisker plots allow for comparison of data from different categories for easier, more effective decision-making.
WHEN TO USE A BOX AND WHISKER PLOT
Use box and whisker plots when you have multiple data sets from independent sources that are related to each other in some way. Examples include:
Test scores between schools or classrooms
Data from before and after a process change
Similar features on one part, such as camshaft lobes
Data from duplicate machines manufacturing the same products
How to interpret ?
a. median (Q2/50th Percentile): the middle value of the dataset.
b. first quartile (Q1/25th Percentile): the middle number between the
c. smallest number (not the “minimum”) and the median of the dataset.
d. third quartile (Q3/75th Percentile): the middle value between the median and the highest value (not the “maximum”) of the dataset.
interquartile.
e range (IQR): 25th to the 75th percentile.
whiskers upper: “maximum”
whiskers lower: “minimum”: Q1 -1.5*IQR
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