Answer:
a) 68%.
b) 93.3%
c) 61.7%
Explanation:
We are asked to find the percentage of data under normal distribution for given boundaries.
a) The percentage of data that are within 1 standard deviation of the mean.
We will use empirical rule to solve our given problem.
Empirical rule states that approximately 68% of the data lies within one standard deviation of the mean, therefore, answer for part (a) would be 68%.
b) Since z-score represents that a data point is how many standard deviation above or below mean.
We need to find
. We will use formula
to solve our given problem.
![P(z>-1.5)=1-P(z<-1.5)](https://img.qammunity.org/2021/formulas/mathematics/college/4xoilre8txtuwx2n53sh5gkok1n0ufvkk4.png)
Using normal distribution table, we will get:
![P(z>-1.5)=1-0.06681](https://img.qammunity.org/2021/formulas/mathematics/college/6ues7icsulv0btyeys2z2e46lyfzdsgowq.png)
![P(z>-1.5)=0.93319](https://img.qammunity.org/2021/formulas/mathematics/college/ci57kf8w03axb4dtpcohvi36xygcdm8syz.png)
![0.93319* 100\%=93.319\%\approx 93.3\%](https://img.qammunity.org/2021/formulas/mathematics/college/xlw4fb0cakeznizubzqwlgrab8l5fq1942.png)
Therefore, approximately 93.3% of the data is to the right of 1.5 standard deviations below the mean.
c) We need to find
.
![P(z<-0.5)+P(z>0.5)](https://img.qammunity.org/2021/formulas/mathematics/college/zqkz1ixm26gt6qksjt038ggo3mybr9tkly.png)
Since normal distribution is symmetric so both these values will be equal.
![0.30854+0.30854=0.61708](https://img.qammunity.org/2021/formulas/mathematics/college/mor7ke2l9g68j3tuo5tag7jv36sez9ro7t.png)
![0.61708* 100\%=61.708\%\approx 61.7\%](https://img.qammunity.org/2021/formulas/mathematics/college/j5bm8emjjsaxf0srcpe2fr3rdyz4eft71b.png)
Therefore, approximately 61.7% of the data set is more than 0.5 standard deviations away from the mean.