A normal distribution has mean μ and standard deviation σ. An x-value is randomly selected from the distribution. Find P(μ−3σ≤x≤μ+σ)
P(μ−3σ≤x≤μ+σ)
μ−3σ is 3 standard deviations to the left of the mean
μ+σ is 1 standard deviation to the right of the mean
P( -3 < z < 1) = P( z < 1) - P( z < -3) = 0.8413 - 0.0013 = 0.8400
P(μ−3σ≤x≤μ+σ) = 0.997/2 + 0.68/2 = ...
P(μ−3σ≤x≤μ+σ) = P(-3< Z< 1) = P(z< 1) - P(z< -3)
Using this table
https://www.stat.tamu.edu/~lzhou/stat302/standardn...
P(z< 1) = 0.84134
P(z< -3) = 0.00135
P(μ−3σ≤x≤μ+σ) = 0.84134 - 0.00135 = 0.83999
so if you only had a 4 digit table 0.8413 -0.0014 = 0.8399
Why are you asking this now, as opposed to Friday?
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Answers & Comments
μ−3σ is 3 standard deviations to the left of the mean
μ+σ is 1 standard deviation to the right of the mean
P( -3 < z < 1) = P( z < 1) - P( z < -3) = 0.8413 - 0.0013 = 0.8400
P(μ−3σ≤x≤μ+σ) = 0.997/2 + 0.68/2 = ...
P(μ−3σ≤x≤μ+σ) = P(-3< Z< 1) = P(z< 1) - P(z< -3)
Using this table
https://www.stat.tamu.edu/~lzhou/stat302/standardn...
P(z< 1) = 0.84134
P(z< -3) = 0.00135
P(μ−3σ≤x≤μ+σ) = 0.84134 - 0.00135 = 0.83999
so if you only had a 4 digit table 0.8413 -0.0014 = 0.8399
Why are you asking this now, as opposed to Friday?