Sometimes data do not follow a normal distribution and are pulled toward the tails of the curve. When this occurs, it is referred to as having a skewed distribution. Because the mean is sensitive to extreme values or outliers, it gravitates in the direction of the extreme values thus making a long tail when a distribution is skewed. When the tail is pulled toward the right side, it is called a _______.a. Negatively skewed distributionb. Positively skewed distributionc. Bimodal distributiond. Normal distribution

Answer:When the tail is pulled toward the right side, it is called a positively skewed distributionStep-by-step explanation:When the tail is pulled toward the right side, it is called a positively skewed distribution; when the tail is pulled toward the left side of the curve it is called a negatively skewed distribution (Watzlaf 2016, 361-362).Generally the right side of a function is reserved for positive variables and the left side is used to represent negative variables, therefore when a function is pulled to the right is considered to be Positively skewed