Answer:
The probability that a light bulb of that brand lasts between 1175 hr and 1610 hr is 0.8524.
Explanation:
Given : Suppose a brand of light bulbs is normally distributed, with a mean life of 1400 hr and a standard deviation of 150 hr.
To find : The probability that a light bulb of that brand lasts between 1175 hr and 1610 hr ?
Solution :
Applying z-score formula,
![z=(x-\mu)/(\sigma)](https://img.qammunity.org/2020/formulas/mathematics/high-school/hq285311c9d1m36eo8c9nqykppzmieuuwe.png)
where,
is population mean
is standard deviation
For x=1175 hour,
![z=(1175-1400)/(150)](https://img.qammunity.org/2020/formulas/mathematics/high-school/wp4bmx8b1wmew1hd5o46kpmsobxsb4siy6.png)
![z=(-225)/(150)](https://img.qammunity.org/2020/formulas/mathematics/high-school/krg9l4nstw21sis9y78up9apfwkc7r8d5r.png)
![z=-1.5](https://img.qammunity.org/2020/formulas/mathematics/middle-school/8ptyfcku6mc825bdq43i755ttmkb4m2fkx.png)
For x=1610 hour,
![z=(1610-1400)/(150)](https://img.qammunity.org/2020/formulas/mathematics/high-school/mlroy4l6x26enjxxgl2kv49m09j0s0g1ns.png)
![z=(210)/(150)](https://img.qammunity.org/2020/formulas/mathematics/high-school/db39v5mgr7y7dk0tief7dx4u7ah73umh0w.png)
![z=1.4](https://img.qammunity.org/2020/formulas/mathematics/middle-school/4p8se6t0ujfdnfnfu1ax7axch1gz01kdag.png)
The required probability is,
![P(1175< X<1610)=P(-1.5<z<1.4)](https://img.qammunity.org/2020/formulas/mathematics/high-school/b36ei781m3y40fhwxrdd87po057x7fovnl.png)
![P(1175< X<1610)=P(z<1.4)-P(z<-1.5)](https://img.qammunity.org/2020/formulas/mathematics/high-school/fwftq16cjfp7p1e0jmzmw6yx9uio25t4n6.png)
Using z table, the values are
![P(1175< X<1610)=0.9192-0.0668](https://img.qammunity.org/2020/formulas/mathematics/high-school/pyhjva9aet0pp4gsryemy68gqh2je9e851.png)
![P(1175< X<1610)=0.8524](https://img.qammunity.org/2020/formulas/mathematics/high-school/1hgsi6zp3eblf42qaii5273yvtal5yg8h8.png)
The probability that a light bulb of that brand lasts between 1175 hr and 1610 hr is 0.8524.