What does the term "outlier" mean in data analysis?A central value.An observation that lies at an abnormal distance from other values.The average value.A data error.
Question
What does the term "outlier" mean in data analysis?A central value.An observation that lies at an abnormal distance from other values.The average value.A data error.
Solution
The term "outlier" in data analysis refers to an observation that lies at an abnormal distance from other values. It is not a central value, the average value, or a data error. Outliers can occur naturally in data, or they can be caused by errors in data collection. They are important to identify because they can significantly affect the results of data analysis and statistical modeling.
Similar Questions
What does the term 'outlier' mean?
What does an outlier in a dataset typically signify?Question 6Answera.A point of central tendencyb.A data point significantly different from othersc.A data point within one standard deviation from the meand.A common data point
n outlier is an observation (or recorded response) that is an extreme or atypical distance outside the normal range of other data values. True False
Question 1Which measure of central tendency is the most affected by an outlier in the data set?1 pointMedianModeMeanMidpoint
What term describes data points that are very different from similarly collected data and, therefore, might not be reliable values?1 pointNoiseErrorsNormsOutliers
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.