Texas Instruments TI-36X Pro User Manual - Page 39

Poissonpdf, Poissoncdf, Important note about results, StatVars, Variables, Definition

Page 39 highlights

5: Binomcdf 6: Poissonpdf Computes a cumulative probability at x for the discrete binomial distribution with the specified numtrials and probability of success (p) on each trial. x can be nonnegative integer and can be entered with options of SINGLE, LIST or ALL (a list of cumulative probabilities is returned.) 0 { p { 1 must be true. Computes a probability at x for the discrete Poisson distribution with the specified mean mu (m), which must be a real number > 0. x can be an non-negative integer (SINGLE) or a list of integers (LIST). The probability density function (pdf) is: 7: Poissoncdf Computes a cumulative probability at x for the discrete Poisson distribution with the specified mean mu, which must be a real number > 0. x can be an non-negative integer (SINGLE) or a list of integers (LIST). Note: The default value for mu (m) is 0. For Poissonpdf and Poissoncdf, you must change it to a value > 0. 1-Var Stats and 2-Var Stats results Important note about results: Many of the regression equations share the same variables a, b, c, and d. If you perform any regression calculation, the regression calculation and the 2-Var statistics for that data are stored in the StatVars menu until the next statistics or regression calculation. The results must be interpreted based on which type of statistics or regression calculation was last performed. To help you interpret correctly, the title bar reminds you of which calculation was last performed. Variables n v or w Sx or Sy Definition Number of x or (x,y) data points. Mean of all x or y values. Sample standard deviation of x or y. 39

  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • 16
  • 17
  • 18
  • 19
  • 20
  • 21
  • 22
  • 23
  • 24
  • 25
  • 26
  • 27
  • 28
  • 29
  • 30
  • 31
  • 32
  • 33
  • 34
  • 35
  • 36
  • 37
  • 38
  • 39
  • 40
  • 41
  • 42
  • 43
  • 44
  • 45
  • 46
  • 47
  • 48
  • 49
  • 50
  • 51
  • 52
  • 53
  • 54
  • 55
  • 56
  • 57
  • 58
  • 59
  • 60
  • 61
  • 62
  • 63
  • 64
  • 65
  • 66
  • 67
  • 68
  • 69
  • 70
  • 71
  • 72
  • 73
  • 74
  • 75
  • 76
  • 77
  • 78

39
Note:
The default value for mu (
m
) is 0. For
Poissonpdf
and
Poissoncdf
, you must change it to a value > 0.
1-Var Stats and 2-Var Stats results
Important note about results:
Many of the regression
equations share the same variables
a
,
b
,
c
, and
d
.
If you
perform any regression calculation, the regression calculation
and the 2-Var statistics for that data are stored in the
StatVars
menu until the next statistics or regression calculation. The
results must be interpreted based on which type of statistics
or regression calculation was last performed. To help you
interpret correctly, the title bar reminds you of which
calculation was last performed.
5: Binomcdf
Computes a cumulative probability at
x
for
the discrete binomial distribution with the
specified
numtrials
and probability of
success (
p
) on each trial.
x
can be non-
negative integer and can be entered with
options of SINGLE, LIST or ALL (a list of
cumulative probabilities is returned.)
0
{
p
{
1 must be true.
6: Poissonpdf
Computes a probability at
x
for the discrete
Poisson distribution with the specified mean
mu (
m
), which must be a real number > 0.
x
can be an non-negative integer (SINGLE) or
a list of integers (LIST). The probability
density function (
pdf
) is:
7: Poissoncdf
Computes a cumulative probability at
x
for
the discrete Poisson distribution with the
specified mean mu, which must be a real
number > 0.
x
can be an non-negative
integer (SINGLE) or a list of integers (LIST).
Variables
Definition
n
Number of
x
or (
x
,
y
) data points.
v
or
w
Mean of all
x
or
y
values.
Sx
or
Sy
Sample standard deviation of
x
or
y
.