The average number of shoppers at a particular grocery store in one day is 506, and the standard deviation is 115. The number of shoppers is normally distributed. For a random day, what is the probability that there are less than 200 shoppers at the grocery store?

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Answer:

The probability is 0.003907

Step-by-step explanation:

We start by calculating the z-score

Mathematically;

z-score = (x-mean)/SD

mean = 506, SD = 115 , x = 200

z-score = (200-506)/115 = -2.66

The probability we want to calculate is;

P( x < -2.66)

we can use the standard normal distribution for this;

P(x < -2.66) is ) = 0.003907

The probability that there are less than 200 shoppers at the grocery store is; 0.003907

We are given;

Population mean; μ = 506

Standard deviation; σ = 115

Sample mean; x' = 200

Since the number of shoppers is normally distributed, let us find the z-score of this distribution from the formula;

z = (x' - μ)/σ

Plugging in the relevant values gives;

z = (200 - 506)/115

z = -2.66

Now, we want to find the probability that there are less than 200 shoppers at the grocery store. This is; P(x < z)

From the z-score distribution table, we have;

P(x < -2.66) = 0.003907

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