Let’s examine this a little further by describing the interquartile range. Quartiles can be defined as dividing your data into 4 parts or quarters of approximately equal size. You can define the ...

The \(\frac{3{(n+1)}}{4}\) value So the upper quartile (UQ) is 18. The interquartile range (IQR) is therefore 18 - 4 = 14. You will notice that the fact there is an outlier in this data (60 ...

divides the bottom half of the data into two halves, and the upper quartile \({Q_3}\) also divides the upper half of the data into two halves. The interquartile range is \(17 - 7 = 10\).

The average investor is vulnerable to recency bias. Comparing current trailing performance data with its historical ...