How to Identify a Right-Skewed Histogram
- Visual Inspection: Look for a longer tail on the right side than on the left side.
- Calculate Skewness: Apply the skewness formula: Skewness = (Mean – Median) /Standard Deviation. An asymmetrical distribution that skews right is indicated by a positive skewness value.
- Box Plot Analysis: A histogram plotting the relation will have a longer tail on the right part of the box.
Example: Consider a dataset of exam scores where most students scored between 60-80, but a few scored above 90. This distribution would exhibit a right-skewed histogram.
Right Skewed Histogram
Right-skewed histogram is a graph showing the distribution of the data that is skewed to the right end, which means the tail of the graph is around the right side. Interpreting this type of histogram is crucial because it helps understand data distribution. In a right-skewed histogram, the bulk of the data points are settled on the left side, whereas a few extreme values drag the tail on the right. In the following article, we will learn the concept of histograms with a more narrow focus on right-skewed histograms for normal distributions.
Table of Content
- What is a Histogram?
- What is a Right-Skewed Histogram?
- How to Identify a Right-Skewed Histogram
- Interpretation of a Right-Skewed Histogram
- Mean, Median, and Mode in a Right Skewed Histogram
- How to Calculate Mean, Median, and Mode in a Right Skewed Histogram?
- Right Skewed Vs Left Skewed Histogram
Contact Us