The standard normal curve shown below models the population distribution of a random variable. What proportion of the values in the population does not lie between the two z-scores indicated on the diagram?
heres the picture
Ahhh I'm not sure how to do the problem. Sorry hun!!
You'll have to use a calculator, or a table of z-values, to find \[\large P(-1.25<z<0.80) =\]
i have no idea how you got that..
If you use a z-table, you might need to do it like so\[\large P(-1.25<z<0.80) = \] \[\large P(z<0.80)-P(z<-1.25)\]
The values given on the graph are z-scores. You need to first find the area between those two z-scores, which is what I gave you. Once you have that, then you subtract that area from 1, to find the area outside the shaded region.
So, the thing you need to actually find is this \[\large 1-P(-1.25<z<0.80) =\]
that doesnt make sense to me
from my tables of statistics, I get these results: \[\Large \begin{gathered} P > 0.8 = 0.2119 \hfill \\ \hfill \\ P < - 1.25 = 0.1056 \hfill \\ \end{gathered} \]
so the requested probability, is: \(0.2119+0.1056=...?\)
0.3175?
that's right!
@Michele_Laino if nothing I wrote made sense to her, then nothing you gave her will help her understand.
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