In statistics, missing data, or missing values, occur when no data value is stored for the variable in the current observation. Missing data are a common occurrence and can have a significant effect on the conclusions that can be drawn from the data.
Read more about Missing Data: Types of Missing Data, Techniques of Dealing With Missing Data
Famous quotes containing the words missing and/or data:
“Teenage girls are extremists who see the world in black-and- white terms, missing shades of gray. Life is either marvelous or not worth living. School is either pure torment or is going fantastically. Other people are either great or horrible, and they themselves are wonderful or pathetic failures. One day a girl will refer to herself as “the goddess of social life” and the next day she’ll regret that she’s the “ultimate in nerdosity.””
—Mary Pipher (20th century)
“Mental health data from the 1950’s on middle-aged women showed them to be a particularly distressed group, vulnerable to depression and feelings of uselessness. This isn’t surprising. If society tells you that your main role is to be attractive to men and you are getting crow’s feet, and to be a mother to children and yours are leaving home, no wonder you are distressed.”
—Grace Baruch (20th century)