Describe any four limiations of statistics? about 120 word.
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1. Qualitative Aspect Ignored:
The statistical methods don’t study the nature of phenomenon which cannot be expressed in quantitative terms.
Such phenomena cannot be a part of the study of statistics. These include health, riches, intelligence etc. It needs conversion of qualitative data into quantitative data.
So experiments are being undertaken to measure the reactions of a man through data. Now a days statistics is used in all the aspects of the life as well as universal activities.
2. It does not deal with individual items:
It is clear from the definition given by Prof. Horace Sacrist, “By statistics we mean aggregates of facts…. and placed in relation to each other”, that statistics deals with only aggregates of facts or items and it does not recognize any individual item. Thus, individual terms as death of 6 persons in a accident, 85% results of a class of a school in a particular year, will not amount to statistics as they are not placed in a group of similar items. It does not deal with the individual items, however, important they may be.
3. It does not depict entire story of phenomenon:
When even phenomena happen, that is due to many causes, but all these causes can not be expressed in terms of data. So we cannot reach at the correct conclusions. Development of a group depends upon many social factors like, parents’ economic condition, education, culture, region, administration by government etc. But all these factors cannot be placed in data. So we analyse only that data we find quantitatively and not qualitatively. So results or conclusion are not 100% correct because many aspects are ignored.
4. It is liable to be miscued:
As W.I. King points out, “One of the short-comings of statistics is that do not bear on their face the label of their quality.” So we can say that we can check the data and procedures of its approaching to conclusions. But these data may have been collected by inexperienced persons or they may have been dishonest or biased. As it is a delicate science and can be easily misused by an unscrupulous person. So data must be used with a caution. Otherwise results may prove to be disastrous.
The statistical methods don’t study the nature of phenomenon which cannot be expressed in quantitative terms.
Such phenomena cannot be a part of the study of statistics. These include health, riches, intelligence etc. It needs conversion of qualitative data into quantitative data.
So experiments are being undertaken to measure the reactions of a man through data. Now a days statistics is used in all the aspects of the life as well as universal activities.
2. It does not deal with individual items:
It is clear from the definition given by Prof. Horace Sacrist, “By statistics we mean aggregates of facts…. and placed in relation to each other”, that statistics deals with only aggregates of facts or items and it does not recognize any individual item. Thus, individual terms as death of 6 persons in a accident, 85% results of a class of a school in a particular year, will not amount to statistics as they are not placed in a group of similar items. It does not deal with the individual items, however, important they may be.
3. It does not depict entire story of phenomenon:
When even phenomena happen, that is due to many causes, but all these causes can not be expressed in terms of data. So we cannot reach at the correct conclusions. Development of a group depends upon many social factors like, parents’ economic condition, education, culture, region, administration by government etc. But all these factors cannot be placed in data. So we analyse only that data we find quantitatively and not qualitatively. So results or conclusion are not 100% correct because many aspects are ignored.
4. It is liable to be miscued:
As W.I. King points out, “One of the short-comings of statistics is that do not bear on their face the label of their quality.” So we can say that we can check the data and procedures of its approaching to conclusions. But these data may have been collected by inexperienced persons or they may have been dishonest or biased. As it is a delicate science and can be easily misused by an unscrupulous person. So data must be used with a caution. Otherwise results may prove to be disastrous.
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