How are box-and-whisker plots used to display data?
Box-and-whisker plots are used to display data by showing the distribution and variability of a dataset. They provide a visual representation of the minimum, first quartile, median, third quartile, and maximum values of the data. The box in the plot represents the interquartile range (IQR), which is the range between the first and third quartiles. The line inside the box represents the median. The whiskers extend from the box to the minimum and maximum values, excluding outliers. Outliers, if present, are shown as individual data points beyond the whiskers. Box-and-whisker plots allow for easy comparison of multiple datasets and provide a clear summary of the data's spread and central tendency.
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Box-and-whisker plots show five data points, providing a reasonable visual of a data set's skewness, symmetry, and spread.
The following are the five measures shown by this chart.
- The Lower Extreme
This is the lowest data point in the set. - The Lower Quartile
This is the median of the lower half of the data. - The Median
This is the middle value of the data set. In other words, it is the value with the same number of terms below and above it that splits the set in half. - The Upper Quartile
This is the median of the upper half of the data. - The Upper Extreme
This is the greatest value in the data set.Here is an example of a box-and-whisker plot.
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When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

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