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6. The problem with outliers is that they can distort the results of a statistical test. 7. Univariate outliers are cases with extreme values on one variable. Multivariate outliers are cases with unusual combinations of scores on two or more variables. 8. 9. A statistical procedure known as Mahalanobis distance can be used to identify outliers of any type 10. Robustness refers to the relative insensitivity of a statistical test to violations of the underlying inferential assumptions 11. Kurtosis is a quantitative measure of the degree of symmetry of a distribution about the mean
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6. True.

In statistics an outlier is a piece of data that is far from the rest. it can distort the result of an statistical test.

7. True

8. True

9. True

The Mahalanobis distance is a measure of the distance between a point P and a distribution D. It is used to find outliers in a set of data.

10. True

Robustness refers to the relative insensitivity of a statistical test to violations of the underlying inferential assumptions. In other words, it is the degree to which a statistical test is still appropriate to apply when some of its assumptions are not met.

11. False

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