a) Find P(X < 65) b) P(X >= 72) c) P(60 < X < 72) d) How tall would you need to be to be among the tallest 5% of people in the school?
What's the mean/standard deviation? How is the population distributed?
@SithsAndGiggles It is known that heights (X) at a local school follow a normal distribution with a mean of 68 inches and a standard deviation of 2.7 inches.
\[P(X<65)=P\left(\frac{X-68}{2.7}<\frac{65-68}{2.7}\right)=P(Z<-1.11)\] \[P(X\ge72)=P\left(\frac{X-68}{2.7}\ge\frac{72-68}{2.7}\right)=P(Z\ge1.48)\] \[P(60<X<72)=P\left(\frac{60-68}{2.7}<\frac{X-68}{2.7}<\frac{72-68}{2.7}\right)=P(-2.96<Z<1.48)\] For (d), you want to find the height \(k\) such that \[P(X>k)=0.05\] which entails finding the proper z-score. \[P\left(\frac{X-68}{2.7}>\frac{k-68}{2.7}\right)=0.05\] For a probability of 0.05, the corresponding z-score is 1.645, which means you solve for \(k\) in \[\frac{k-68}{2.7}=1.645\]
cutoff part: \(P(-2.96<Z<1.48)\)
@SithsAndGiggles Thank you very much, that makes much more sense now
@SithsAndGiggles wait but how do you know that the corresponding z-score is 1.645 again? Is that just from like a chart
Yes: http://www.stat.ufl.edu/~athienit/Tables/Ztable.pdf In this table (a left-tail table), you have \(P(Z<-1.645)=0.05\), which - due to the symmetry of the curve - means \(P(Z>1.645)=0.05\).
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