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Bar charts are ideal for showing proportions among categories, while histograms show frequency distributions.
Bar charts are ideal for showing proportions among categories, while histograms show frequency distributions.
True
A boxplot visually summarizes the distribution of data, highlighting the median, quartiles, and outliers
A boxplot visually summarizes the distribution of data, highlighting the median, quartiles, and outliers
True
The main components of a boxplot include the minimum, first quartile (Q1), median, third quartile (Q3), and maximum.
The main components of a boxplot include the minimum, first quartile (Q1), median, third quartile (Q3), and maximum.
True
In a boxplot, the "whiskers" extend from Q1 and Q3 to represent the full range of the data.
In a boxplot, the "whiskers" extend from Q1 and Q3 to represent the full range of the data.
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A boxplot’s interquartile range (IQR) is calculated as Q3 minus Q1
A boxplot’s interquartile range (IQR) is calculated as Q3 minus Q1
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Boxplots are most useful when comparing distributions between different categories or groups.
Boxplots are most useful when comparing distributions between different categories or groups.
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To interpret a boxplot, first examine the length of the box to understand the data’s spread.
To interpret a boxplot, first examine the length of the box to understand the data’s spread.
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The median line inside the box represents the average value of the data.
The median line inside the box represents the average value of the data.
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Outliers are represented as individual points outside the whiskers of a boxplot.
Outliers are represented as individual points outside the whiskers of a boxplot.
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If a boxplot is symmetrical, it suggests that the data is normally distributed.
If a boxplot is symmetrical, it suggests that the data is normally distributed.
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