When a set of votes has been skewed it means that either the mean is higher than the median or lower. If it is higher the vote is said to be skewed to the right and when lower it is skewed to the left.
The population data may be skewed and thus the mean is not a valid statistic. If mean > median, the data will be skewed to the right. If median > mean, the data is skewed to the left.
skewed
A ballot paper which has been incorrectly completed or not filled in at all. Informal votes are not counted towards any candidate but are set aside. This would mean a wasted vote.
If it is very highly skewed then the mode is best.
A distribution or set of observations is said to be skewed right or positively skewed if it has a longer "tail" of numbers on the right. The mass of the distribution is more towards the left of the figure rather than the middle.
A distribution or set of observations is said to be skewed left or negatively skewed if it has a longer "tail" of numbers on the left. The mass of the distribution is more towards the right of the figure rather than the middle.
The mean may be a good measure but not if the data distribution is very skewed.
You would use the median if the data were very skewed, with extreme values.
This is known as a skewed data set.
Not in the United States. The way the US is set up, the president is elected by electoral votes, not popular. In fact, President George W. Bush received a smaller portion of the popular vote instead of the electoral vote I believe.
It means that the most votes win like let's say a law is set and they say national supremacy wins, the most votes
The mean (average) may often be confused with the median, mode or range. The mean is the arithmetic average of a set of values, or distribution; however, for skewed distributions, the mean is not necessarily the same as the middle value (median), or the most likely (mode). For example, mean income is skewed upwards by a small number of people with very large incomes, so that the majority have an income lower than the mean. By contrast, the median income is the level at which half the population is below and half is above. The mode income is the most likely income, and favors the larger number of people with lower incomes. The median or mode are often more intuitive measures of such data.Nevertheless, many skewed distributions are best described by their mean -- such as the exponential and Poisson distributions.For example, the arithmetic mean of six values: 34, 27, 45, 55, 22, 27 is the sum 210 divided by 6, which is 35.