# Give one example of a SITUATION where:i. mean is an appropriate measure of central tendency.ii. median is an appropriate measure of central tendency but mean is not.

hiii isha...!!

When any data has a few observations such that these are very far from the other observations in it, it is better to calculate the median than the mean of the data as median gives a better estimate of average in this case.

(i) Consider the following example − the following data represents the heights of the members of a family.

154.9 cm, 162.8 cm, 170.6 cm, 158.8 cm, 163.3 cm, 166.8 cm, 160.2 cm

In this case, it can be observed that the observations in the given data are close to each other. Therefore, mean will be calculated as an appropriate measure of central tendency.

(ii) The following data represents the marks obtained by 12 students in a test.

48, 59, 46, 52, 54, 46, 97, 42, 49, 58, 60, 99

In this case, it can be observed that there are some observations which are very far from other observations. Therefore, here, median will be calculated as an appropriate measure of central tendency.

all the best :)

• 25

thumbs up plzz

• 2

thnxxx a lottt jai !!! xD

• -2

welcum :) :D

• -1
(i) Mean is a quantitative central tendency of a data Example: For measuring central tendency of marks of a test we find the mean of the data (ii) Median is a qualitative central tendency of data Example: For measuring central tendency of beauty of a group of women, we determine the median of the data
• 4
What are you looking for?