Which answer best describes the shape of this distribution? bell-shaped skewed right uniform skewed left
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The Deep Dive
When we say a distribution is bell-shaped, we’re often referring to the classic normal distribution, where most of the data points cluster around the mean, tapering off symmetrically on both sides. Think of it as the quintessential “U” or “M” curve in statistics that you might have seen in textbooks! On the other hand, skewed distributions reveal intriguing tales about the data! A right-skewed distribution has a long tail extending to the right, indicating that there are a few unusually high values affecting the average. Conversely, a left-skewed distribution showcases a long tail on the left side, suggesting the presence of outlier low values. These shapes can often tell us quite a bit about the underlying factors influencing the data!