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Like the statistical mean and median, the mode is a way of expressing, in a (usually) single number, important information about a random variable or a population. The numerical value of the mode is the same as that of the mean and median in a normal distribution, and it may be very different in highly skewed distributions.
In earlier years, the twelve questions were worth one point each, with no partial credit given. The competition is considered to be very difficult: it is typically attempted by students specializing in mathematics, but the median score is usually zero or one point out of 120 possible, and there have been only five perfect scores as of 2021.
The mean, the median and the mode are all different kinds of averages. As I wrote on the talk page of Average: Just do a Google search on ["measures of central tendency"]. The first hit: "This section defines the three most common measures of central tendency: the mean, the median, and the mode."
the weighted arithmetic mean of the median and two quartiles. Winsorized mean an arithmetic mean in which extreme values are replaced by values closer to the median. Any of the above may be applied to each dimension of multi-dimensional data, but the results may not be invariant to rotations of the multi-dimensional space. Geometric median
The median of a population is given in the section "Medians of probability distributions" and the median need not be unique. However, given an ordered sample of n observations where n is odd, the sample median is defined as the [(n+1)/2]th observation. If n is even, then the sample median is the arithmetic mean of the (n/2)th and [(n/2)+1]th ...
a measure of location, or central tendency, such as the arithmetic mean; a measure of statistical dispersion like the standard mean absolute deviation; a measure of the shape of the distribution like skewness or kurtosis; if more than one variable is measured, a measure of statistical dependence such as a correlation coefficient
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For an arbitrary distribution the mode, median and mean may appear in any order. [31] [32] [33] Analyses have been made of some of the relationships between the mean, median, mode and standard deviation. [34] and these relationships place some restrictions on the sign and magnitude of the nonparametric skew.