Question

extension questions

1. with your group, discuss the issues below relating to data analysis and scientific ethics, and record your answers in complete sentences.

a. what could you do to determine whether the outliers in model 2 are authentic measurements?
b. under which circumstances would it be appropriate to remove outlying data points from the analysis and conclusions in a scientific study?
c. if you were to decide to remove outlying data points from your analysis, what are two ways you could indicate this in your report to ensure you are being honest about your data analysis?

Explanation:

a. To determine if outliers are authentic, re - measure the data, check the measurement process for errors, and compare with similar studies.
b. It may be appropriate to remove outliers when they are due to measurement errors, data entry mistakes, or when they are from a different population not relevant to the study.
c. Two ways to indicate outlier removal in a report are to clearly state the criteria for removal and to present the analysis both with and without the outliers.

Answer:

a. Re - measure data, check process, compare with similar studies.
b. When due to measurement/data - entry errors or from a non - relevant population.
c. State removal criteria, present analysis with and without outliers.