when an observation in a data is abnormally more or less than the remaining observations in the data , does it affect mean or mode or median ? why ?
Answers
Usually the mean is affected by the data.
Mean is defined as the average of the total data given.
Mean can be calculated by adding all the numbers and dividing by total number of data.
Median is the medium value of the data.
Mode can be defined by the number which comes most often in the given set of data.
If an observation data is abnormally low or high in a given set of data the mean will be most affected by it.
The median comes in the middle which does not depend on the Value of the data.
Similarly Mode will not be affected by the value of this data.
Hence mean will be affected by the abnormal entry of the data.
Answer:
mean will be most effected
Step-by-step explanation:
mean is the average of given observations
and mode does not depend on observations but mode depends on no.of observations
median means mid-value so it does not depend on less or more the observation is
by this our conclusion is median is most affected