Mean Median Mode Flashcards, test questions and answers
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What is Mean Median Mode?
Mean median mode is a type of descriptive statistics used to measure the central tendency of a data set. It is often used in the analysis of large data sets and can provide insights into how reliable a given set of results are. The mean is simply the average, calculated by adding all values in a data set then dividing by the number of values. The mean is useful for when you want to find an overall trend or pattern from your data. However, it can be affected by outliers which should be considered before calculating the mean. The median is the middle value in a sorted list of values and can be less affected by outliers than the mean. It’s useful when looking for an overall pattern in your data but may not identify any trends that could be seen with other types of measures such as standard deviation or range. Finally, mode refers to the most common value in a given set of numbers, meaning it identifies patterns more quickly than either mean or median since it only looks at one element rather than all elements as with mean and median calculations. Mode is particularly useful when dealing with categorical variables (such as gender or location). In summary, Mean Median Mode give us three different ways to measure central tendency from our data sets which can help us understand any patterns that may exist within our datasets more effectively and efficiently.