Thus, the probability that a male aged 60 has BMI less than 30 is 56.75. This table gives a probability that a statistic is less than Z (i.e. We can then look up the corresponding probability for this Z score from the standard normal distribution table, which shows that P(X < 30) P(Z < 0.17) 0.5675. It shows you the percent of population: between 0 and Z (option '0 to Z') less than Z (option 'Up to Z') greater than Z (option 'Z onwards') It only display values to 0.01. It is a Normal Distribution with mean 0 and standard deviation 1. Note that for z = 1, 2, 3, one obtains (after multiplying by 2 to account for the interval) the results f( z) = 0.6827, 0.9545, 0.9974, This is the 'bell-shaped' curve of the Standard Normal Distribution. If X is a random variable from a normal distribution with mean μ and standard deviation σ, its Z-score may be calculated from X by subtracting μ and dividing by the standard deviation:
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