Consider your work environment, domain of interest, or the world around you, and discuss when it might be more appropriate to use the mean, median, or mode for measures of central tendency.

Data can be described using the median, mean and mode measures. The mean represents the average of an array of numbers. It is strongly affected by outliers in the data – extreme values that skew the overall distribution. Median is the median value of a data set when it has been ordered from smallest to biggest. Half the values are higher than it, and half are lower. It is therefore less susceptible to outliers. However, it does not give much information about the underlying trends in the data. The mode, which is the number that occurs most often among the set of values, provides little information about the underlying trends and variability in the data.

In many cases any of these three statistics could be appropriate measures for describing a given dataset depending on what type information specifically being gathered & would like draw conclusions relevant one looking at example educational research survey designed assess students’ progress over quarter time period might make sense employ use mean gauge collectively how far along they’ve managed achieve since start semester while also making note possible outliers could result skewed results if present.

Another case could be a lot of non-continuous variables. You can also use mode to determine the most common ones. This will allow you to identify what structure is leading to certain occurrences. Then take a look at median. To better understand typical ranges, it’s important that we have an understanding of these three metrics. We are able gain valuable insights into specific situations and further spread our knowledge.