Yes, it will. An outlier is a data point that lies outside the normal range of data. This means that if it is factored in the mean will move in the direction the outlier is, really high if the outlier was high, and really low if the outlier was low.
mean does not mean the center of the data
what do you mean by data assembly?
The mean of a set of data is the sum of that data divided by the number of items of data.
Mean data are observations whose values are equal to the mean of the data set. By default it is the arithmetic mean but it could be the geometric or harmonic mean - if those measures are more appropriate.
any formats, I mean really
True, Data can mean a lot of different things. Hope this helps(:
Yes, it will. An outlier is a data point that lies outside the normal range of data. This means that if it is factored in the mean will move in the direction the outlier is, really high if the outlier was high, and really low if the outlier was low.
The mean and standard deviation. If the data really are normally distributed, all other statistics are redundant.
Mean- If there are no outliers. A really low number or really high number will mess up the mean. Median- If there are outliers. The outliers will not mess up the median. Mode- If the most of one number is centrally located in the data. :)
Mean
mean does not mean the center of the data
mean does not mean the center of the data
what do you mean by data assembly?
The mean of a set of data is the sum of that data divided by the number of items of data.
no. Some mean is a number from the data but some mean is completely different from its data.
Its mean incomplete data or the data upon which we can not rely totally.