Where is the rest of the problem?
Solution: We are given:
![\mu=0.33, \sigma =0.7](https://tex.z-dn.net/?f=%5Cmu%3D0.33%2C%20%20%5Csigma%20%3D0.7)
Let
be the weight (oz) of laptop
We have to find ![P(x>32)](https://tex.z-dn.net/?f=P%28x%3E32%29)
To find the this probability, we need to find the z score value.
The z score is given below:
![z=\frac{x-\mu}{\sigma}](https://tex.z-dn.net/?f=z%3D%5Cfrac%7Bx-%5Cmu%7D%7B%5Csigma%7D)
![=\frac{32-33}{0.7}](https://tex.z-dn.net/?f=%3D%5Cfrac%7B32-33%7D%7B0.7%7D)
![=-1.43](https://tex.z-dn.net/?f=%3D-1.43)
Now, we have to find ![P(z>-1.43)](https://tex.z-dn.net/?f=P%28z%3E-1.43%29)
Using the standard normal table, we have:
![P(z>-1.43)=0.9236](https://tex.z-dn.net/?f=P%28z%3E-1.43%29%3D0.9236)
0.9236 or 92.36% of laptops are overweight
What do you need help clarifying? Did you want to go over the questions you missed? (:
Answer:
Option (4)
Step-by-step explanation:
Domain of a function is defined by the x-values or input values of the function.
Similarly, Range of a function is defined by the y-values of output values for the corresponding input values.
From the graph attached,
Domain is restricted to 0 ≤ x ≤ 8.
Therefore, Range will be 0 ≤ y ≤ 4.
Option (4) will be the answer.