Answer:
The answer is explained below
Explanation:
The question is not complete, I would explain how to calculate the value of Z
The z score is a measure in statistic used to determine the number of standard deviations by which the raw score if from the mean of a normal distribution. If the z score is positive then the raw score is above the mean while if a z score is negative the raw score is below the mean. The z score (z) is given by the formula:
![z=(x-\mu)/(\sigma)](https://img.qammunity.org/2021/formulas/mathematics/high-school/24k01r9qa0a6ibv4tds8q1jpbjh932http.png)
Where x is the raw score, μ is the mean and σ is the standard deviation.
Let us assume that the mean (μ) = 20 and the standard deviation (σ) = 3. To calculate the z score for x = 30 it is given by:
![z=(x-\mu)/(\sigma)=(30-20)/(3)=3.33](https://img.qammunity.org/2021/formulas/mathematics/middle-school/8o3vrgdh5qyahaquftql3lwj3plo6p7i9a.png)