If you were to decide to remove outlying data points from you analysis what are two ways you could indicate this in your report to ensure you are being honest about you data analysis

If the outlying data points are to be taken out from the report to guarantee the analysis of examination is right is to eliminate only if that isn't right or if there is enough data to check the data points once more.

One shouldn't eliminate outliers if the outcomes are critical and there are numerous outliers in data point. While eliminating the data points, one can trim the data points or change it with closest with mean or median.

rising temperatures because when water vapor in the air is cooled, it condenses. it turns back into a liquid and attaches to dust particles in the air. these very small water droplets group together to form clouds