DISTRIBUTION CAN BE SYMMETRICAL AND CAN BE SKEWED

A. SYMMETRICAL - When the data values are evenly distributed about the mean

B. SKEWED - When the majority of the data values fall to the left or right of the mean 

1. NEGATIVELY OR LEFT SKEWED 

•  When the majority of the data values fall to the right of the mean.
•  Whe mean is to the left of the median and the mean and the median are to the left of the mode.

2. POSITIVE OR RIGHT SKEWED 

• When the majority of the data values fall to the left of the mean.
• The mean falls to the right of the median and both the mean and the median fall to the right of the mode
• 

* "TAIL" of the curve indicates the direction of the skewness(right is positive and left is   negative)

* NORMAL DISTRIBUTION can be used to study many variables that are not perfectly normally distributed but are nevertheless approximately normal  

by: OSCAR PEPIN B. MARFIL  0=)