Using mathematical functions
163
normald_icdf
Inverse cumulative normal distribution function. Returns
the cumulative normal distribution value associated with
the lower-tail probability,
p
, given the mean,
μ
and
standard deviation,
σ
of a normal distribution. If only a
single value (x) is supplied, assumes
μ
=0 and
σ
=1.
normald_cdf
([
μ
,
σ
,]
p
)
Example:
normald_icdf
(0, 1, 0.841344746069) returns
1
.
binomial
Binomial probability density function. Computes the
probability of
k
successes out of
n
trials, each with a
probability of success,
p
. Returns Comb(n,k) if there is no
third argument. Note that
n
and
k
are integers with
.
binomial
(
n
,
k
,
p
)
Example:
binomial
(4, 2, 0.5) returns
0.375
.
binomial_cdf
Cumulative binomial distribution function. Returns the
probability of
k
or fewer successes out of
n
trials, with a
probability of success,
p
for each trial. Note that
n
and
k
are integers with
.
binomial_cdf
(
n
,
p
,
k
)
Example:
binomial_cdf
(4, 0.5, 2) returns
0.6875
.
binomial_icdf
Inverse cumulative binomial distribution function. Returns
the number of successes,
k
out of
n
trials, each with a
probability of
p,
such that the probability of
k
or fewer
successes is
q
.
binomial_icdf
(
n
,
p
,
q
)
Example:
binomial_icdf
(4, 0.5, 0.6875) returns
2
.
k
n
≤
k
n
≤
Summary of Contents for 39gII
Page 1: ...HP 39gII graphing calculator user s guide Edition1 Part Number NW249 90001 ...
Page 2: ...Printing History Edition 1 November 201 1 ...
Page 32: ...22 Getting started ...
Page 58: ...48 Apps and their views ...
Page 70: ...60 Function app ...
Page 80: ...70 Solve app ...
Page 136: ...126 Polar app ...
Page 140: ...130 Sequence app ...
Page 148: ...138 Finance app ...
Page 152: ...142 Linear Solver app ...
Page 218: ...208 Matrices ...
Page 226: ...216 Notes and Info ...
Page 238: ...228 Variables and memory management ...
Page 318: ...308 Programming ...
Page 340: ...330 Reference information ...
Page 346: ...vi Product Regulatory Information ...