Answer:
True
Explanation:
When we represent a distribution we can analyze its level of symmetry: a distribution is symmetric if in relation to a central value the distribution is distributed 50% to the right and another 50% to the left, presenting a similar shape on both sides of the central value .
If, on the other hand, the distribution presents a more lean form to the left, we speak of positive asymmetry; and if it is more to the right, of negative asymmetry. In these cases, the asymmetry causes the z-score values of +1.0 to have a different value than the one corresponding to -1.0, since the precise figure of a bell is not obtained.
In conclusion, the statement is true.
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