What is Mean and it's importance?
In Statistics, the most commonly used measure of central tendency is the Mean. The word 'mean' is the statistical term used for the 'average'. The mean can be used to represent the typical value and therefore serves as a yardstick for all observations. For example, if we would like to know how many hours on average an employee spends at training in a year, we can find the mean training hours of a group of employees. One of the main importance of the mean from the other measures of central tendencies is that, mean takes into consideration all the elements in the given data. It calculates the average value of the set of data. It cannot be an accurate measurement for skewed distribution. If the mean is equal to the median, then the distribution is normal.
How to Calculate Combined Mean of Multiple Data?
Combined Mean of Multiple Data calculator uses Combined Mean of Multiple Data = ((Sample Size of Random Variable X*Mean of Random Variable X)+(Sample Size of Random Variable Y*Mean of Random Variable Y))/(Sample Size of Random Variable X+Sample Size of Random Variable Y) to calculate the Combined Mean of Multiple Data, Combined Mean of Multiple Data formula is defined as the average of values obtained by combining data from different sources or groups. It represents the overall mean when data is pooled from various populations. Combined Mean of Multiple Data is denoted by μCombined symbol.
How to calculate Combined Mean of Multiple Data using this online calculator? To use this online calculator for Combined Mean of Multiple Data, enter Sample Size of Random Variable X (NX), Mean of Random Variable X (μX), Sample Size of Random Variable Y (NY) & Mean of Random Variable Y (μY) and hit the calculate button. Here is how the Combined Mean of Multiple Data calculation can be explained with given input values -> 39.27273 = ((40*36)+(80*48))/(40+80).