Answer: a) 0.7814
b) False
Explanation:
To find : The p-value of z , where


Hence, the standard normal probability

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
.
If sample size (n) is given then , the

Hence, the statement is false.