Statistics In Research Introduction - Skewness and Kurtosis - Part 6 of 6

Описание: Dr. Manishika Jain in this video explains skewness and kurtosis
symmetrical distribution (if you fold the graph of a symmetrical distribution in half, the two halves look the same). A distribution that clearly is not symmetrical is called a skewed distribution
The side with the fewer scores (the side that looks like a tail) is considered the direction of the skew
A distribution that is skewed to the right is also called positively skewed. A distribution skewed to the left is also called negatively skewed
skew comes from the French queue, which means line or tail. Thus, the direction of the skew is the side that has the long line, or tail.
floor effect: situation in which many scores pile up at the low end of a distribution (creating skewness to the right) because it is not possible to have any lower score. (a family cannot have fewer than zero children)
ceiling effect situation in which many scores pile up at the high end of a distribution (creating skewness to the left) because it is not possible to have a higher score. (distribution of adults’ scores on a multiplication table test)
bell-shaped standard or normal curve



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Unimodal, Bimodal and Multimodal @0:06
Types of Distribution @1:43
Symmetrical Distribution @1:50
Skewed Distribution @2:20
Different between Symmetrical Distribution & Skewed Distribution @3:58
Floor Effect @4:30
Ceiling Effect @4:34
Kurtosis @5:41
Misleading Graphs @6:29
Exaggeration of Proportions @6:59
#Misleading #Kurtosis #Ceiling #Floor #Tail #Queue #Skewed #Symmetrical #Rectangular #Bimodal #Manishika #Examrace #examrace #upsc #ugcnet