Answered question

2022-04-22

Answer & Explanation

nick1337

nick1337

Expert2023-04-29Added 777 answers

We are given that the birth weights of infants in a certain population follow a normal distribution with mean μ=7.75 pounds and standard deviation σ=1.25 pounds.
We want to determine the probability that an infant's birth weight is less than 6.625 pounds. Let X be the random variable representing the birth weights of infants.
We can standardize the normal distribution to have mean 0 and standard deviation 1 using the standard normal distribution formula:
Z=Xμσ
Substituting the given values, we get:
Z=6.6257.751.25=0.92
The probability of an infant's birth weight being less than 6.625 pounds can be found by calculating the area under the standard normal distribution curve to the left of Z=0.92. This can be done using a standard normal distribution table or a calculator.
Using a standard normal distribution table, we can look up the probability corresponding to Z=0.92 as 0.1788.
Therefore, the probability that an infant's birth weight is less than 6.625 pounds is:
P(X<6.625)=P(Z<0.92)=0.1788
This completes the solution.

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