Normal And Inverse-Normal Distributions - HP 32SII Owner's Manual

To start:
R
M
B
y ˆ
Y ( when X=37)
x ˆ
X ( when Y=101)
Normal and Inverse–Normal Distributions
Normal distribution is frequently used to model the behavior of random
variation about a mean. This model assumes that the sample distribution is
symmetric about the mean, M, with a standard deviation, S, and
approximates the shape of the bell–shaped curve shown below. Given a
value x, this program calculates the probability that a random selection from
the sample data will have a higher value. This is known as the upper tail area,
Q(x). This program also provides the inverse: given a value Q(x), the
program calculates the corresponding value x.
File name 32sii-Manual-E-0424
Printed Date : 2003/4/24
Logarithmic Exponential
L
0.9965
–139.0088
65.8446
98.7508
38.2857
y
x
Size : 17 .7 x 25.2 cm
Power
E
0.9945 0.9959
51.1312 8.9730
0.0177 0.6640
98.5870 98.6845
38.3628 38.3151
"Upper tail"
area
Q [x]
x
Statistics Programs 16–11
P