Numerical Methods for Data Science Applications
Chapter Highlights
Explain the techniques of describing data using numerical methods and use these methods to compare and draw meaningful conclusions from data. This chapter explains how to:
• Calculate and apply the measures of central tendency including the mean, median, mode.
• Calculate the measures of position—percentiles, quartiles, and interpret their meaning.
• Calculate and apply various measures of variation—range, interquartile range, variance, and standard deviation for both grouped and ungrouped data.
• Compare the mean, median, mode, and standard deviation to draw meaningful conclusions from the data.
• Relate the mean and standard deviation using the Chebyshev’s and empirical ...
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