\(\mu\) = mean = 2000
\(\sigma\) = Standard deviation = 150
\(X \sim N(\mu, \sigma^2)\)
\(\frac{X - \mu}{\sigma} \sim N(0, 1)\)
⇒ \(\frac{X - 2000}{150} \sim N(0, 1)\)
\(\because 1750 \le X \le 2250\)
⇒ \(\frac {1750 - 2000}{150} \le \frac{X - 2000}{150} \le \frac{2210-2000}{150}\)
⇒ \(\frac{-250}{150} \le \frac{X - 2000}{150} \le \frac{250}{150}\)
⇒ \(\frac{-5}3 \le \frac {X - 2000}{150} \le \frac53\)
\(\because \frac{X - 2000}{150} \sim N(0, 1)\)
\(\therefore P\left(\frac{-5}3 \le \frac{X - 2000}{150} \le \frac 53\right) = P(Y \le \frac53) - P(Y \le \frac{-5}3 )\)
\(= 0.9516 - 0.0485\)
\(= 0.9031\)
The number of workers whose wages lie between 1750 & 2250 = 0.9031 x total no. of workers
\(= 0.9031 \times 1000\)
\(= 903.1 \approx 903\) (approx)