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With the movement toward teaching statistics with more realistic example data—which often have outliers, missing or erroneous values, or other issues—students need to learn how to assess whether data sets are suitable for analysis. This webinar demonstrates tools and techniques in JMP Student Edition for assessing data quality and provides tips for using these tools with students. Topics include:

• Locating duplicate values or records
• Determining whether values fall within accepted ranges
• Assessing missing values and patterns of missingness
• Identifying and dealing with outliers, both univariate and multivariate