Answer: a) 0.7814
b) False
Step-by-step explanation:
To find : The p-value of z , where
[tex]-1.23<z< +1.23[/tex]
[tex]P(-1.23<z< +1.23)=1-P(z<-1.23)\\\\=1-0.1093=0.7814[/tex]
Hence, the standard normal probability [tex]P(-1.23<z< +1.23)=0.7814[/tex]
In the formula used to convert "real-world" data values into z numbers, the standard deviation of the data is considered.
The formula to calculate the z score is [tex]z=\dfrac{x-\mu}{\sigma}[/tex].
If sample size (n) is given then , the [tex]z=\dfrac{x-\mu}{\dfrac{\sigma}{\sqrt{n}}}[/tex]
Hence, the statement is false.