Final answer:
An outlier is a data point that is significantly different from the other data points in a set. It may or may not affect measures of central tendency. Outliers are not always the highest or lowest values in a data set.
Step-by-step explanation:
An outlier is a data point that is significantly different from the other data points in a set. It can be either higher or lower than the other values.
Outliers may be errors or abnormal data, or they may provide valuable insights into the population under study.
An outlier does not necessarily mean that it is a false data point. It needs to be examined closely to determine if it should be included in the analysis or not.
An outlier may or may not affect measures of central tendency, such as the mean, median, and mode.
It depends on the specific data set and the impact of the outlier on these measures. It is not always the highest or lowest value in a data set, as it can be any data point that deviates significantly from the rest.