You have a large dataset (N=10,000) but have identified one multivariate outlier. What is the best way to progress? a. Accept that there will be an impact on Power, but that impact will be lessened by retaining as high Nas possible. b. Conduct an analysis that doesn't require a normal distribution such as any non-parametric test. c. Remove the case from subsequent analyses. d. The impact of a single outlier on your model can be largely ignored because you have a sufficiently high N. Clear my choice