AP PSYCHOLOGY

Detailed explanation-1: -A skewed distribution with the tail on the right-hand side is said to be positively skewed (because the tail points towards positive numbers).

Detailed explanation-2: -It is said to be positively skewed if the scores are concentrated at the lower end of the measurement scale. For example, test scores on a very difficult exam probably follow a positively skewed distribution, because most of the students probably will score quite low and only a few students probably will score high.

Detailed explanation-3: -Negatively skewed distribution refers to the distribution type where more values plot on the graph’s right side, the tail of the distribution is longer on the left side, and the mean is lower than the median and mode. It might be zero or negative due to the data being distributed negatively.

Detailed explanation-4: -Negative skew example An example of negatively skewed data could be the exam scores of a group of college students who took a relatively simple exam. If you draw a curve of the group of students’ exam scores on a graph, the curve is likely to be skewed to the left.