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Question 46 of 46

Q.(A) This question is only for normal students.
The profit in daily business of a businessman having grocery shop follows normal distribution. Variance of profit is 22,500 (₹)222{,}500\ (\text{\text{₹}})^2, and the probability that the daily profit is less than ₹ 1,000\text{\text{₹}}\,1{,}000 is 0.0918. Find the average daily profit.

(OR)
(B) This question is only for blind students.
The probability density function of a normal variable XX is defined as under
[!FORMULA] f(x)=Constant e−12(x−2510)2, −∞<x<∞f(x) = \text{Constant } e^{-\frac{1}{2}\left(\frac{x-25}{10}\right)^2},\ -\infty < x < \infty
For this normal distribution estimate the values of the following:
(1) Third Quartile
(2) Quartile deviation
(3) Mean deviation
Gujarat GsebGujarat Board (GSEB) HSC Commerce Board 2026Subjective· 4mImportance★★★★★
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(A) σ=150\sigma=150; P(X<1000)=0.0918⇒z=−1.33P(X<1000)=0.0918\Rightarrow z=-1.33; μ=1000+1.33(150)=1199.5\mu=1000+1.33(150)=1199.5. (B) μ=25,σ=10\mu=25,\sigma=10: Q3=μ+0.675σ=31.75Q_3=\mu+0.675\sigma=31.75, QD=0.675σ=6.75QD=0.675\sigma=6.75, MD=0.8σ=8MD=0.8\sigma=8.

(A) For normal students. Profit X∼N(μ, σ2)X\sim N(\mu,\ \sigma^2) with variance 22,500⇒σ=22500=15022{,}500\Rightarrow\sigma=\sqrt{22500}=150. Given P(X<1000)=0.0918P(X<1000)=0.0918.

Since 0.0918<0.50.0918<0.5, the value 10001000 lies below the mean. The area between 00 and ∣z∣|z| is 0.5−0.0918=0.40820.5-0.0918=0.4082, which corresponds to z=1.33z=1.33. As 10001000 is on the left, z=−1.33z=-1.33:

1000−μ150=−1.33 ⇒ 1000−μ=−199.5 ⇒ μ=1199.5.\frac{1000-\mu}{150}=-1.33\ \Rightarrow\ 1000-\mu=-199.5\ \Rightarrow\ \mu=1199.5.

So the average daily profit is about Rs. 1,199.5 (≈\approx Rs. 1,200).

(B) For blind students. The density

f(x)=const⋅e−12(x−2510)2f(x)=\text{const}\cdot e^{-\frac12\left(\frac{x-25}{10}\right)^2} …

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