Explain question .Why there are such kind of situation and how it is possible
Dear Student,
4 (i) Mean is an appropriate measure of central tendency when the datas in the dataset are close to each other.
Eg: Let us consider the following data.
41, 42,43,44,45.
Mean of the above sample is 43 and it is fairly close to the values in the dataset.
4(ii) However, if values of data in the dataset vary widely, mean is not a good measure of central tendency.
Eg : 1,2,30,40,70
Here , Mean is 28.6 and its value varies widely from the datas in the dataset. So, it is not a good measure of central tendency.
Regards,
4 (i) Mean is an appropriate measure of central tendency when the datas in the dataset are close to each other.
Eg: Let us consider the following data.
41, 42,43,44,45.
Mean of the above sample is 43 and it is fairly close to the values in the dataset.
4(ii) However, if values of data in the dataset vary widely, mean is not a good measure of central tendency.
Eg : 1,2,30,40,70
Here , Mean is 28.6 and its value varies widely from the datas in the dataset. So, it is not a good measure of central tendency.
Regards,