Explain please. .........
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The probability of a foot of male being between 10 and 12. 5 inches is 59%.
<h3>Define the term normal distribution?</h3>- The normal distribution approximates any real-valued random distribution which clusters around one single mean value.
- A cumulative frequency is a procedure that determines if the total amount of information in such a data set is less than and equal to a specific value.
The z score of the distribution is found as-
z = (x - μ)/σ
In which,
μ = mean = (11)
σ = standard distribution (1.5)
The likelihood that a male's foot measures between 10 and 12. 5 inches.
P(10 < x < 12.5)
For x = 10
z = (10 - 11) / 1.5
z = -0.67
check the p-value fro z score table.
p (z = -0.67) = 0.2514
For x = 12.5
z = (1.5 - 11)/1.5
z = 1
p (z = 1) = 0.8413
P(10 < x < 12.5) = 0.8413 - 0.2514
P(10 < x < 12.5) = 0.5899
P(10 < x < 12.5) = 58.99%
P(10 < x < 12.5) = 59%.
Thus, the likelihood of a male's foot being between 10 and 12. 5 inches is 59%.
To know more about the normal distribution, here
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