A) Distinguish between exclusive method and inclusive method.
B) Why are open-end distributions used?
A) Distinguish between exclusive method and inclusive method.
B) Why are open-end distributions used?
S.NoExclusive Method Inclusive Method1.The upper limit of a class-interval isBoth the limits of a class-interval iscounted in the next immediate class.counted in the same class.2.The upper limit of a class-interval and the The upper limit of a class-interval and lower limit of next class are the same.lower limit of next class are different. Thedifference is generally of one.3.There is no need of converting it toFor simplicity in calculation, it isinclusive method prior to calculation.necessary to change it into exclusivemethod.
B) When few items of the data are very small or considerably large, then they are known as extreme items or extreme values. In order to include such extreme items in the frequency distribution, we may need so many class-intervals that the frequency distribution will become too large to handle. To avoid the unwanted classes,open-end are used. For example, class less than '80' is an open -end class in which lower limit is not known. The open-end class can be taken at the beginning or at the end of the frequency distribution. The difficulty with open-end classes is that its mid-point cannot be computed.
S.NoExclusive Method Inclusive Method1.The upper limit of a class-interval isBoth the limits of a class-interval iscounted in the next immediate class.counted in the same class.2.The upper limit of a class-interval and the The upper limit of a class-interval and lower limit of next class are the same.lower limit of next class are different. Thedifference is generally of one.3.There is no need of converting it toFor simplicity in calculation, it isinclusive method prior to calculation.necessary to change it into exclusivemethod.
B) When few items of the data are very small or considerably large, then they are known as extreme items or extreme values. In order to include such extreme items in the frequency distribution, we may need so many class-intervals that the frequency distribution will become too large to handle. To avoid the unwanted classes,open-end are used. For example, class less than '80' is an open -end class in which lower limit is not known. The open-end class can be taken at the beginning or at the end of the frequency distribution. The difficulty with open-end classes is that its mid-point cannot be computed.
