Which term describes a distribution of data where scores cluster towards one end of the range rather than being evenly distributed?

The term that best describes a distribution of data where scores cluster towards one end of the range is skewed distribution. A skewed distribution indicates that the values are not symmetrically distributed around the mean; instead, they tend to lean towards one side. This can be towards the right (positive skew), where a majority of the data points are lower values with a few high outliers, or towards the left (negative skew), where most values are higher with a few low outliers.

In contrast, a normal distribution refers to a perfectly symmetrical distribution where the mean, median, and mode all align at the center of the distribution. A uniform distribution indicates that all outcomes are equally likely, leading to a flat distribution shape, unlike the clustering seen in skewed distributions. A bi-modal distribution features two different modes or peaks and does not indicate clustering towards one end but rather suggests the presence of two different groups within the data.

Understanding these different types of distributions helps in effectively interpreting data patterns and making statistical inferences.