Answer:
The probability that the sample mean will lie within 2 values of μ is 0.9544.
Step-by-step explanation:
Here
The probability that the sample mean lies with 2 of the value of μ is given as
[tex]P(| \bar{X}-\mu|<2)\\P(-2<\bar{X}-\mu<2)\\[/tex]
Here converting the values in z form gives
[tex]P(-2<\bar{X}-\mu<2)\\P(\frac{-2}{\frac{\sigma} {\sqrt{n}}}<\frac{\bar{X}-\mu}{\frac{\sigma} {\sqrt{n}}}<\frac{2}{\frac{\sigma} {\sqrt{n}}})[/tex]
Substituting values
[tex]P(-2<\bar{X}-\mu<2)\\P(\frac{-2}{\frac{10} {\sqrt{100}}}<z<\frac{2}{\frac{10} {\sqrt{100}}})\\P(-2<z<2)=P(z<2)-P(z<-2)[/tex]
From z table
[tex]P(z\leq 2)=0.9772\\P(z\leq -2)=0.0228\\P(-2\leq z\leq 2)=P(z\leq 2)-P(z\leq -2)\\P(-2\leq z\leq 2)=0.9772-0.0228\\P(-2\leq z\leq 2)=0.9544\\[/tex]
So the probability that the sample mean will lie within 2 values of μ is 0.9544.