What term describes an individual observation that is significantly different from other observations in a data set?

What term describes an individual observation that is significantly different from other observations in a data set?

• A. Median
• B. Mode
• C. Outlier
• D. Range

Answer: (C)

The term that describes an individual observation that is significantly different from other observations in a data set is indeed outlier. An outlier is a data point that diverges greatly from the overall pattern of data, which can result from variability in the measurements or may indicate experimental errors. Detecting outliers is crucial in statistical analysis, as they can skew results and lead to misleading interpretations of the data. The median refers to the middle value of a data set when it is ordered, while the mode is the value that appears most frequently in a data set. The range is a measure of the spread of the data, calculated by subtracting the smallest value from the largest value. None of these terms convey the unique distinction of an outlier's significant deviation from the rest of the data points.

The term that describes an individual observation that is significantly different from other observations in a data set is indeed outlier. An outlier is a data point that diverges greatly from the overall pattern of data, which can result from variability in the measurements or may indicate experimental errors. Detecting outliers is crucial in statistical analysis, as they can skew results and lead to misleading interpretations of the data.

The median refers to the middle value of a data set when it is ordered, while the mode is the value that appears most frequently in a data set. The range is a measure of the spread of the data, calculated by subtracting the smallest value from the largest value. None of these terms convey the unique distinction of an outlier's significant deviation from the rest of the data points.