If 3 of the students who scored below 140 decide to drop class what would be shape distribution?

To determine the shape of the distribution after 3 students scoring below 140 drop the class, we need the original distribution. The shape depends entirely on the original data. We can't predict the shape without knowing:

* The original number of students: Removing 3 students from a class of 10 will have a much larger impact than removing 3 students from a class of 100.

* The original distribution: Was it roughly normal, skewed left, skewed right, uniform, bimodal, etc.? Knowing the original shape is crucial.

* The exact scores: We need to know the precise scores of all students to accurately determine the impact of removing those 3 low scores.

Possible Scenarios:

* Original distribution was roughly normal: Removing 3 low scores might make the distribution slightly skewed to the right, but it's likely to remain roughly symmetrical.

* Original distribution was skewed right: Removing 3 low scores would likely reduce the right skew, potentially making it more symmetrical or even slightly skewed left.

* Original distribution was skewed left: Removing 3 low scores would have little impact, as the skew would likely remain.

In short: Without more information, it's impossible to determine the new shape of the distribution. Provide the original data or a description of the original distribution, and I can help you analyze the effect of removing those 3 students.