What is a Right-Skewed Histogram?
A right-skewed histogram, also known as a positively skewed histogram, is a graphical representation of data whose distribution is skewed to the right. In a right-skewed histogram, most of the data points are concentrated on the left side of the histogram, with a few extending far to the right. In a right skewed histogram, the peak of the histogram lies left to the middle value.
Definition of Right-Skewed Histogram
A right-skewed histogram is a visual representation of the data whereby the tail of the histogram stretches towards the greater values, depicting that the skewness of the distribution toward the right side.
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
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