Histogram and Descriptive Statistics

HOW DO WE INTERPRET DESCRIPTIVE STATISTICS AND VISUAL DISTRIBUTIONS?
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Histograms help to visualize patterns and the distribution of numerical variables at a glance. One way to describe the shape of a histogram is by inspecting whether the data is symmetric or skewed (Nuzzo, 2019). If it's symmetric, the data should appear almost identical when folded at the center of the distribution such that the right-hand side and the left-hand side contain an equal number of observations. The most common symmetric distribution is the normal distribution, which appears bell-shaped. Skewness is used to describe the symmetry of a distribution; the skewness is zero for symmetric distributions. For skewed data, a large portion of the data is clustered on one side of the histogram. In a positively skewed distribution, the peak is on the left side, the mean is greater than the median, and the distribution has a long right tail (Zach, 2023). In a negatively skewed distribution, the peak is on the right side, the mean is less than the median, and the tail on the left side is longer.
Another apparent feature in a histogram ...