Draw a normal probability distribution that would allow you to determine the likelihood of a measure falling within -3SD, -2SD and -1SD from the mean. Determine the likelihoods of each of the SD’s on the other side of the mean as well?
The graph of the normal probability distribution is below
From the above graph the likelihood of a measure falling within - 3SD from mean is (34.1+13.6+2.1)%=49.8%
The likelihood of a measure falling within - 2SD from mean is (34.1+13.6)%=47.7%
The likelihood of a measure falling within - 1SD from mean is 34.1%
Similarly the likelihood of a measure falling within 1SD from mean is 34.1%
The likelihood of a measure falling within 2SD from mean is (34.1+13.6)%=47.7%
The likelihood of a measure falling within 3SD from mean is (34.1 +13.6 +2.1) %=49.8%
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