In a business, it is assumed that the average daily sales in (Rs.) fol...
Solution:
Given, the probability of average daily sales less than Rs. 124 is 0.0287 and the probability it exceeds Rs. 270 is 0.4599.
Let the mean be μ and the standard deviation be σ.
1. Finding the Z-scores:
Using the standard normal distribution table, we can find the Z-scores for the given probabilities:
For P(X < 124),="" z="(124" -="" μ)="" σ="-1.88" />
For P(X > 270), Z = (270 - μ) / σ = 1.79
2. Finding the parameters:
Using the Z-scores and the properties of the standard normal distribution, we can find the values of μ and σ:
From Z = -1.88, we have P(Z < -1.88)="0.0287" />
Looking up in the standard normal distribution table, we get
P(Z < -1.88)="0.0301" />
Therefore, we can write:
(124 - μ) / σ = -1.88
Solving for μ, we get:
μ = 124 + 1.88σ
From Z = 1.79, we have P(Z > 1.79) = 0.4599
Looking up in the standard normal distribution table, we get
P(Z < 1.79)="0.9633" />
Therefore, we can write:
(270 - μ) / σ = 1.79
Substituting the value of μ, we get:
(270 - 124 - 1.88σ) / σ = 1.79
Solving for σ, we get:
σ ≈ 62.8
Substituting the value of σ in the equation for μ, we get:
μ ≈ 238.4
Therefore, the parameters of this distribution are:
Mean (μ) ≈ 238.4
Standard deviation (σ) ≈ 62.8
Conclusion:
Hence, we can conclude that the average daily sales in the business follow a normal distribution with mean (μ) ≈ 238.4 and standard deviation (σ) ≈ 62.8.
In a business, it is assumed that the average daily sales in (Rs.) fol...
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