Operation Manual

Distribution Calculations
You can use the procedures below to perform seven different types of
distribution calculations.
1. Press , select the Distribution Mode icon, and then press .
2. On the menu that appears, select a distribution calculation type.
To select this calculation type: Press this key:
Normal probability density
(Normal PD)
Normal cumulative distribution
(Normal CD)
Inverse normal cumulative distribution
(Inverse Normal)
Binomial probability
(Binomial PD)
Binomial cumulative distribution
(Binomial CD)
Poisson probability
(Poisson PD)
Poisson cumulative distribution
(Poisson CD)
• If you selected Normal PD, Normal CD, or Inverse Normal as the
calculation type, go to step 4 of this procedure. For any other
calculation type, go to step 3.
3. On the dialog box that appears, select a data (x) input method.
• To input multiple x data items at the same time, press (List). To
input a single data item, press (Variable).
• If you selected (List) above, a list screen will appear at this time so
you can input the x data items.
4. Input values for the variables.
• The variables that require data input depend on the calculation type
you selected in step 2 of this procedure.
5. After inputting values for all of the variables, press .
• This displays the calculation results.
• Pressing  while a calculation result is displayed will return to the
variable input screen.
Note
• If you selected something other than “List” in step 3 of this procedure the
calculation result will be stored in Ans memory.
• Distribution calculation accuracy is up to six significant digits.
To change the distribution calculation type: Press (Select Type)
and then select the distribution type you want.
Variables that Accept Input
Distribution calculation variables that accept input values are those below.
Normal PD: x, σ, μ
Normal CD: Lower, Upper, σ, μ
Inverse Normal: Area, σ, μ (Tail setting always left.)
Binomial PD, Binomial CD: x, N, p
Poisson PD, Poisson CD: x, λ
x: data, σ: standard deviation (σ > 0), μ, λ: mean, Lower: lower boundary,
Upper: upper boundary, Area: probability value (0 ≦ Area ≦ 1), N: number
of trials, p: success probability (0 ≦ p ≦ 1)
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