The USEPA Lead and Copper Rule (most recently updated in 2020) sets an action level for community water systems at 15ppb (parts per billion). If lead concentrations exceed this action level in more than 10 percent of customer taps sampled, the water provider must take an extensive (and expensive) series of corrective actions to reduce this level. It is therefore important to ensure that the testing apparatus is properly calibrated and performing properly before beginning testing. A lab analyst was testing the calibration of the lead sampling equipment by testing replicate water samples with known concentration of lead and obtained the following results: a. Determine the average, standard deviation, and 95% confidence interval for this data set. Report the final value for the analysis in proper notation. =_S=CI=Finalvalue= b. Clearly identify any outliers by circling them on the table above. Then use the Grubbs Test ( = 0.05) to determine if they are outliers or not. otential outliers: ttab=Source: Vere there any outliers? If so, identify them: c. You may or may not have found an outlier in this data set. For purposes of this question pretend you DID detect an outlier. In terms of record keeping and data processing, what would need to happen in response