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Questions and Answers
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)
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 (A)
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 (A)
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.
A boxplot’s interquartile range (IQR) is calculated as Q3 minus Q1
A boxplot’s interquartile range (IQR) is calculated as Q3 minus Q1
Boxplots are most useful when comparing distributions between different categories or groups.
Boxplots are most useful when comparing distributions between different categories or groups.
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.
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.
Outliers are represented as individual points outside the whiskers of a boxplot.
Outliers are represented as individual points outside the whiskers of a boxplot.
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.
