it is 1000000 i dont know but face
adding a no. to every term increases the median and mean by same no.
It will increase the mean without affecting the median.
The mean will increase from 14 to 20. The median will increase from 12 to 15.
Yes, an observation that is abnormally larger or smaller than the rest of the data can significantly affect the mean, as it will pull the average towards that extreme value. However, the median and mode are less influenced by outliers, as they are not as sensitive to extreme values. The median is the middle value when the data is arranged in order, so outliers have less impact on its value. The mode is the most frequently occurring value, so unless the outlier is the most common value, it will not affect the mode.
An outlier can significantly affect the median of a data set, although its impact is less pronounced compared to measures like the mean. The median is the middle value when data is arranged in order, so if an outlier is added or removed, it may not change the median unless it is situated among the middle values. For instance, in a data set with an odd number of values, an extreme outlier at one end will not affect the median as long as it does not enter the central position. However, in a smaller data set, the presence of an outlier can shift the median if it changes the arrangement of the middle values.
adding a no. to every term increases the median and mean by same no.
It will increase the mean without affecting the median.
The mean will increase from 14 to 20. The median will increase from 12 to 15.
It will not make any difference to either.
Yes, an observation that is abnormally larger or smaller than the rest of the data can significantly affect the mean, as it will pull the average towards that extreme value. However, the median and mode are less influenced by outliers, as they are not as sensitive to extreme values. The median is the middle value when the data is arranged in order, so outliers have less impact on its value. The mode is the most frequently occurring value, so unless the outlier is the most common value, it will not affect the mode.
Both median and mode are the statistics formulas, Median is called mid value of the given data and mode is the value which occure repetedly in the given data.
median
The mean will increase very substantially, the median will remain unchanged.The mean will increase very substantially, the median will remain unchanged.The mean will increase very substantially, the median will remain unchanged.The mean will increase very substantially, the median will remain unchanged.
The median of a data set comprising only one value is that value. So the median of 2.5 is 2.5.
No, there is never more than one median in a data set. The median is defined as the middle value when the data is arranged in order. If the data set has an odd number of observations, the median is the single middle value. If it has an even number of observations, the median is the average of the two middle values, which also results in a single value.
The mean will go from 5 to 15.833...The median will go from 7 to 7.5The mean will go from 5 to 15.833...The median will go from 7 to 7.5The mean will go from 5 to 15.833...The median will go from 7 to 7.5The mean will go from 5 to 15.833...The median will go from 7 to 7.5
Subtracting the same amount from each value in a data set decreases the **mean**, *median*, and **mode** by that amount, but the **range** remains unchanged.