Which measure of dispersion is not affected by extreme values?
Practice Questions
Q1
Which measure of dispersion is not affected by extreme values?
Range
Variance
Standard Deviation
Interquartile Range
Questions & Step-by-Step Solutions
Which measure of dispersion is not affected by extreme values?
Step 1: Understand what dispersion means. Dispersion refers to how spread out the values in a dataset are.
Step 2: Learn about different measures of dispersion. Common measures include range, variance, standard deviation, and interquartile range (IQR).
Step 3: Identify extreme values. Extreme values are very high or very low numbers in a dataset that can skew the results.
Step 4: Recognize that some measures of dispersion are affected by extreme values. For example, the range is affected because it considers the highest and lowest values.
Step 5: Understand that the interquartile range (IQR) measures the middle 50% of the data and ignores the extreme values.
Step 6: Conclude that the interquartile range is the measure of dispersion that is not affected by extreme values.