An outlier is an extreme data point that can often inaccurately alter an effect size. A is when all scores are not accounted for, which can often inaccurately decrease an effect size. A is when a set of data is not well represented by a straight line and can often result in a effect size. All three of these issues can decrease validity.

answer: a

explanation:

deez noof

9) a & b

10) true.

11) false.

12) false.

13) true.

14) false.

15) true.

16) true.

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they encountered severe weather for which they were poorly prepared.