Given the selling prices for homes in a certain community are approximately normally distributed
Mean = μ = $321,000
Standard deviation = σ = $38,000
For the following cases, we will find the z-score as follows:
![z=(x-\mu)/(\sigma)](https://img.qammunity.org/2023/formulas/mathematics/college/h06hsre30elxbqnbdkqzw5pbp57988qa0r.png)
And we will use the following chart:
Estimate the percentage of homes in this community with selling prices:
A) between $245,000 and $397,000
So, the z-score for the given prices will be:
![\begin{gathered} $245,000$\rightarrow z=(245000-321000)/(38000)=-2 \\ 397,000\rightarrow z=(397000-321000)/(38000)=2 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/high-school/r4bhazel46bqozbln2guuzj02f40xfzbfa.png)
So, the percentage when -2 < z < 2 will be as shown from the chart = 95%
B) above $435,000
![435,000\rightarrow z=(435000-321000)/(38000)=3](https://img.qammunity.org/2023/formulas/mathematics/high-school/5b6yp298nfsfw1ym3x31gela9cpdmsukj8.png)
The area under the curve = 100%
So, the percentage when z > 3 will be = 0.5%
C) below $283,000
![283,000\rightarrow z=(283000-321000)/(38000)=-1](https://img.qammunity.org/2023/formulas/mathematics/high-school/ev9oe6hp4sycmcch2q7ihxcbl4tdyq805c.png)
so, the percentage when z < -1 will be = 50 - 34 = 16%
D) between $283,000 and $435,000
We will find the percentage in case if: -1 < z < 3
So, the percentage will be = 34 + 34 + 13.5 + 2 = 83.5%