Final answer:
Data points that lie apart from the rest are called outliers, not deviants. Therefore statement is false.
Step-by-step explanation:
Data points that lie apart from the rest of the points are usually called outliers, not deviants. These are observed values in a data set that are distant from the other data points. Outliers can appear in data sets and are important to identify because they can affect the results of statistical analyses, such as the calculation of a mean or the slope of a regression line.
An outlier is typically a data point that is far from the least-squares regression line in a set of data. According to a common rule of thumb, a data point that is more than two standard deviations away from the predicted value on the regression line is considered an outlier.
Besides outliers, there are also points called influential points. Unlike outliers, which are defined in terms of their vertical distance from the regression line, influential points are characterized by their horizontal distance from other observed data points in the data set. They can significantly affect the slope of the regression line and, therefore, the overall analysis of the data.