The shape of the data distribution displayed by this dot plot is best described as:

Question

BlackTom AI · Accepted Answer

To begin, let’s interpret the dot plot: most data points are clustered toward the lower end (near 0, 1, 2), with fewer observations as the values increase toward higher numbers, creating a stretch of data that trails off to the right. 
Option a (symmetric): A symmetric distribution would have roughly equal tails on both sides of the center, with a mirror-like shape. The dot plot shown does not display a balanced left and right spread, so this is not a good match. 
Option b (negatively skewed): A negatively skewed (left-skewed) distribution would have a longer tail to the left side (toward smaller values). Here, the tail extends to the right (larger values), so this option mischaracterizes the direction of the skew. 
Option c (positively skewed): A positively skewed (right-skewed) distribution has a longer tail on the right, with most observations at the lower values and a few higher values stretching the tail. This description aligns with the plot, where many dots are at low counts of visits and progressively fewer at higher counts, forming a rightward tail. 
Option d (none of the above): Since the plot does exhibit a skew and one of the described skew directions matches, this option is not appropriate. 
In summary, the visual pattern—concentration of data at the low end with a tail extending toward higher numbers—corresponds to a positively skewed distribution, while the other options fail to capture the observed asymmetry or direction of the tail.

The shape of the data distribution displayed by this dot plot is best described as:

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