Respuesta :
The probability distribution of normal distribution is given by,
f(x) = [tex] \frac{1}{{ \sqrt{2 \pi \alpha ^{2} } }} e^{ \frac{-(x-a)^{2} }{2 \alpha^{2} } } [/tex]
Where a = mean = 16 and α = standard deviation = 3
In normal distribution, skewness is zero. That is, distribution is symmetric.
Therefore, mean, median and mode coincide at a point in case of normal distribution.
50th percentile is same as median or mean or mode
Therefore, 50th percentile = 16
f(x) = [tex] \frac{1}{{ \sqrt{2 \pi \alpha ^{2} } }} e^{ \frac{-(x-a)^{2} }{2 \alpha^{2} } } [/tex]
Where a = mean = 16 and α = standard deviation = 3
In normal distribution, skewness is zero. That is, distribution is symmetric.
Therefore, mean, median and mode coincide at a point in case of normal distribution.
50th percentile is same as median or mean or mode
Therefore, 50th percentile = 16
The 50th percentile of the normal distribution is 16.
Z score is used to determine by how many standard deviations the raw score is above or below the mean. The z score is given by:
[tex]z=\frac{x-\mu}{\sigma} \\\\where\ x=raw\ score,\mu=mean, \sigma=standard\ deviation[/tex]
Given that:
μ = 16, σ = 3
From the normal distribution table, the 50th percentile corresponds with a z score of 0. Hence:
[tex]0=\frac{x-16}{3} \\\\x=16[/tex]
The 50th percentile of the normal distribution is 16.
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