Kuinka laskea Box Plot
Mikä on Box Plot?
A box plot (box-and-whisker plot) visualises the distribution of data using five statistics: minimum, Q1, median, Q3, and maximum. Outliers are shown as individual points beyond 1.5×IQR from the quartiles.
Kaava
Q1 = 25th percentile, Q2 (median) = 50th, Q3 = 75th; IQR = Q3 − Q1
- Min
- minimum value
- Q1
- first quartile (25th percentile)
- Q2
- median (50th percentile)
- Q3
- third quartile (75th percentile)
- Max
- maximum value
- IQR
- interquartile range — Q3 − Q1
Vaiheittainen opas
- 1Q2 (median): middle value of sorted data
- 2Q1: median of lower half
- 3Q3: median of upper half
- 4IQR = Q3 − Q1; outlier threshold = 1.5×IQR
Ratkaistut esimerkit
Syöte
Data: 2,4,5,7,8,9,11,13
Tulos
Min=2, Q1=4.5, Med=7.5, Q3=10, Max=13
Syöte
IQR = 5.5, outlier threshold = 8.25 from quartiles
Tulos
Any value < −3.75 or > 18.25 is an outlier
Usein kysytyt kysymykset
What is a boxplot used for?
Boxplots visualize the distribution, spread, and outliers of data at a glance.
How are outliers determined in a boxplot?
Points beyond 1.5×IQR from Q1 or Q3 are typically marked as outliers.
Is the median always at the center of the box?
No, the line inside the box shows the median's position relative to Q1 and Q3, reflecting data skewness.
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