Table 1: Cumulative distribution function of the standard Normal
distribution
z: 0 1 2 3 Probability to the left of z: .5000 .84134 .97725 .99865
Probability to the right of z: .5000 .15866 .02275 .00135
Probability between z and z: .6827 .9544 .99730
Table 2: Inverse of the cumulative distribution function of the
standard Normal distribution
Probability to the left of z: . 5000 .92 .95 .975 .9990 z: 0.00
1.405 1.645 1.960 3.09
1 Normal Distributions
1. What proportion of a Normal distribution is within one standard
deviation of the mean?
2. What proportion of a Normal distribution is within two standard
deviations of the mean ?
3. What proportion of a Normal distribution is within three
standard deviations of the mean ?
4. What is the 95th percentile of the standard Normal
distribution?
5. What is the area to the right of z = 2 in a standard Normal
distribution?
1)
proportion of a Normal distribution is within one standard deviation of the mean =P(-1<Z<1)
=0.84134-0.15866=0.68268
2)
proportion of a Normal distribution is within two standard deviations of the mean=P(-2<Z<2)
=0.97725-0.02275=0.9545
3)
proportion of a Normal distribution is within three standard deviations of the mean=P(-3<Z<3)
=0.99865-0.00135=0.9973
4)
95th percentile of the standard Normal distribution ; z =1.645
5)
area to the right of z = 2 in a standard Normal distribution =0.02275
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