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 . negatively skewed distribution
b. positively skewed distribution
c. bimodal distribution
d. normal distribution

When the tail is pulled toward the right side, it is called a positively skewed distribution

Step-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

are you an artist's daughter? cuz dang you a fine piece of art, girl.

76%

step-by-step explanation:

24% are dogs and the remaining is 76% because 100-24=76