HP 50g Graphing Calculator - Manual (Page 559)

Page 17-10
where μ is the mean, and σ 2
is the variance of the distribution. To calculate the
value of f( μ,σ
2
,x) for the normal distribution, use function NDIST with the
following arguments: the mean, μ, the variance, σ 2 , and, the value x , i.e.,
NDIST( μ,σ 2 ,x). For example, check that for a normal distribution, f(1.0,0.5,2.0)
= 0.20755374.
Normal distribution cdf
The calculator has a function UTPN that calculates the upper-tail normal
distribution, i.e., UTPN(x) = P(X>x) = 1 - P(Xupper-tail normal distribution UTPN we need to enter the following values: the
mean,
μ; the variance, σ 2
; and, the value x, e.g., UTPN(( μ,σ 2
,x)
For example, check that for a normal distribution, with μ = 1.0, σ 2 = 0.5,
UTPN(0.75) = 0.638163. Use UTPN(1.0,0.5,0.75) = 0.638163.
Different probability calculations for normal distributions [X is N( μ,σ 2
)] can be
defined using the function UTPN, as follows:
Θ P(X μ, σ 2
,a)
Θ P(a μ, σ 2
,b) - (1 - UTPN( μ, σ 2
,a)) =
UTPN( μ, σ 2
,a) - UTPN( μ, σ 2
,b)
Θ P(X>c) = UTPN( μ, σ 2
,c)
Examples: Using μ = 1.5, and σ 2 = 0.5, find:
P(X<1.0) = 1 - P(X>1.0) = 1 - UTPN(1.5, 0.5, 1.0) = 0.239750.
P(X>2.0) = UTPN(1.5, 0.5, 2.0) = 0.239750.
P(1.00.7602499 - 0.2397500 = 0.524998.
The Student-t distribution
The Student-t, or simply, the t-, distribution has one parameter ν, known as the
degrees of freedom of the distribution. The probability distribution function (pdf)
is given by