høyreskjevhet

Høyreskjevhet, also known as positive skewness or right skewness, is a term used in statistics to describe a specific type of asymmetry in a probability distribution. When a distribution is right-skewed, it means that the tail on the right side of the probability density function is longer or fatter than the tail on the left side. This indicates that there are more extreme values on the higher end of the distribution than on the lower end.

In a right-skewed distribution, the mean is typically greater than the median, which is also typically greater than the mode. This is because the extreme high values pull the mean upwards. The median, being the middle value, is less affected by these outliers, and the mode, the most frequent value, is often found further to the left in the bulk of the data.

Examples of phenomena that often exhibit right skewness include income distribution, where a few individuals earn significantly higher incomes than the majority, or house prices in a city, where most houses are moderately priced but a few luxury properties command very high prices. Understanding the skewness of a distribution is important for choosing appropriate statistical methods for analysis and for accurately interpreting data. Visualizing the distribution through histograms or box plots can help identify right skewness.