CHILD DEVELOPMENT PEDAGOGY

Detailed explanation-1: -Answer and Explanation: If a set of exam scores forms a negatively skewed distribution, we can likely conclude that A) most of the students had relatively high scores. In a negatively skewed distribution, the high-frequency data are to the right.

Detailed explanation-2: -In statistics, a negatively skewed (also known as left-skewed) distribution is a type of distribution in which more values are concentrated on the right side (tail) of the distribution graph while the left tail of the distribution graph is longer.

Detailed explanation-3: -In a negatively skewed distribution, the exact opposite is the case: the mean of negatively skewed data will be less than the median. If the data graphs symmetrically, the distribution has zero skewness, regardless of how long or fat the tails are.

Detailed explanation-4: -When representing students’ scores on a graph, the scores often will be positively or negatively skewed. When the distribution is positively skewed, that implies that the most frequent scores (the mode) and the median are below the mean. If your test is very difficult, there may be many low scores and few high ones.