3. You noticed that the 2018 data for "Struck by Object" is unusually high, compared to other years. If you suspect the data may not be accurate, what would you do about it? Provide at least 2 solutions. ( 2 points)
Step By Step Answers with Explanation
3. Outlier Detection: Use statistical methods to identify outliers within the 2018 data set. Outliers are data points that significantly deviate from the typical pattern. If the high number of incidents in 2018 is identified as an outlier, it could indicate data entry errors, misclassification, or other issues.
4. Data Cleaning: If data anomalies or outliers are detected, consider cleaning the data. This involves either removing or correcting erroneous data points. For example, if some incidents were erroneously categorized as "Struck by Object," they can be reclassified into the correct category.
3. Compare with Previous Years: Compare the 2018 data with data from the previous years to identify trends. If the increase in incidents is sudden and not in line with historical data, it raises further suspicion about data accuracy.
4. Consult Experts: Seek advice from subject matter experts or statisticians who can help analyze the data and determine if the increase in incidents is statistically significant or if it can be attributed to random variation.