 Okay, I was telling when to take mean and when to take median in what condition We can take mean and we can't take mean and we are how when now we should go for a median Suppose let it be an example as An exam conducted in a class for a hundred mark. Okay for a hundred mark exam Ten people. Okay, ten people have attended the exam. So the first one scored ten marks second one ten third fifteen ten ten ten and very High mark. This is a very bright student. He scored 95 marks. The exam was very tough The rest of all couldn't perform Well, they performed extremely bad and they scored 15 15 10 only one person scored 95 This is an exam for a hundred marks a hundred marks Okay, a hundred marks exam ten people have attended These are the scores they obtained suppose if we take mean We go for this formula and we add up all the values 10 plus 10 plus 15 10 15 10 plus 95 plus 15 plus 15 plus 10 we get 205 divided by 10 So the mean will be 20.5. Okay So what happens is if you go through the value you can see that This value actually should represent the central tendency. Okay, if you can see the values It is coming Nowhere in the central region. Okay, so if you Put the value in an increasing order It is nowhere coming in the central region does nowhere coming in the central region It is actually coming at the end of the value. Okay Actually, this central tendency value should come somewhere here if you're taking mean median or mode should come Somewhere here. This is just a data set. I have kept for median. You don't get confused The measure of central central tendency should come here It should be that it should represent the central tendency central value on an average value But this 20.5 is not at all Giving the central tendency actually it is coming here at the end of the value So the same example when we go for a median We put it as an increasing order 10 10 10 10 10 15 15 and 95 So we take the middle two values 10 and 15 so we get 12.5 it is actually Representing the central tendency because it is coming Exactly at the middle or somewhere at the middle. Okay In the previous example, we had seen the central tendencies coming at the central region not the tail end Actually, this is coming somewhere here at the end of the value. It should not happen so when there is an extreme value, this is called as Outlier When there is an extreme value or outlier, we should never use mean We should go for median. Okay? When there is an extreme value if the data set is having an extreme value higher or lower We should never go for mean. We should go for median because mean is Sensitive to extreme values mean is sensitive to extreme values or Outliers Okay So this is the concept when we have an outlier. We should never take Mean as a central tendency instead. We should go for median. Okay? So hope you understood it mean median and mode and when we should take mean and when we should take median mode I am I told you it is not at all important only example, but You can write mode with one example. So hope you understood what is the measure of central tendency? Okay, it is a central average values. So how we represent in a data set It is coming into action when we do a research and we have a lot of values So we Combine the values and we usually represent the mean value and sometimes we take median When we should take mean and median if you have a extreme values if you're taking BP value So most of the values are coming 120 120 120 and few people are coming 220 that time you cannot take mean that time you should go for median But mean is the most accurate value median is not that much accurate as mean But sometimes we cannot rely on mean because it is sensitive to extreme value. Okay. Thank you