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3.6 Robust Measures. Objectives: By the end of this section, I will be able to… Find quartiles and the interquartile range. Calculate the five-number summary of a data set. Construct a boxplot for a given data set. Apply robust detection of outliers. Section 3.6. Robust Measures.
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3.6 Robust Measures Objectives: By the end of this section, I will be able to… • Find quartiles and the interquartile range. • Calculate the five-number summary of a data set. • Construct a boxplot for a given data set. • Apply robust detection of outliers.
Section 3.6 Robust Measures
What are robust measures? • Since the mean and the standard deviation are SENSITIVE to outliers, analysts prefer to use more robust measures. • Three Types of Robust Measures • Median • Five Number Summary • IQR
Quartiles – breaking data into quarters The five number summary uses the following values: • Minimum, smallest value, Q0,0th percentile • First Quartile, Q1,25th Percentile • Second Quartile, Q2,50th Percentile, MEDIAN • Third Quartile, Q3,75th Percentile • Maximum, largest value, Q4,100th Percentile
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FIVE NUMBER SUMMARY • Put data into ORDER(either by hand or on calc) • Find the median = Q2 • Cut the data into 2 Halves • The median of the 1st Half = Q1 • The median of the 2nd Half = Q3 • Label the max and min values
Interquartile Range (IQR) • It is a robust measure of VARIABILITY. • IQR = Q3 – Q1 • Find the IQR.
BOX AND WHISKER PLOT • Graph that displays the Five Number Summary. • LABEL the five values.
Salaries • Find the following: • The five number summary • The IQR • Create and LABEL a box and whisker plot