Casio fx9750GII Getting Started page 68

NORMAL, BINOMIAL AND POISSON DISTRIBUTIONS
Normal Distribution Analysis [in RUN-MAT] cont.
Data that you have entered in the 'List' can also be used to model the data to be normally distributed, that is, assuming
the data is normally distributed. By using the z-score transform and using 'µ' and '
will be used to do the appropriate normal distribution calculations.
Enter the data into a list space and then generate the summary statistics associated with the data. Make a note of the
required information and in RUN-MAT mode generate the desired calculations based on the Normal Distribution.
Example 3
Enter the following data and assuming N.D. find the probability that a score of 5
or more is achieved.
1 1 4
1 2 4
Enter the data into list 1
1 EXE 1
4 EXE 1
5 EXE 4
In RUN-MAT mode, complete the desired (1 variation) statistical calculations.
Required Prob(x > 3) = Prob((3 - 4.533)/2.418) using the z-score transformation.
F4 F5
SHIFT
( 3 -
. 4 1
Normal Distribution Analysis [in STAT]
Left, Central and Right selections for Inverse Normal calculations in STAT mode.
Example
Find the values of k such that Prob(Z < k) = 0.45
F5 F1 F3
5 EXE then
Example 2
Find the values of k such that Prob(-k < Z < k) = 0.45
F5 F1 F3
5 EXE then
5 7 8 4
7 8 5 4 7
EXE 4 EXE 5
EXE 2 EXE 4
EXE 7 EXE F2
then
F1 F6 F3
OPTN
,
4 . 5 3
8 ) EXE
then
F1 0
EXE
F3 0
EXE
�
' generated from the data in the list
EXE 7 EXE 8 EXE
EXE 7 EXE 8 EXE
F1
[CALC] [1VAR]
F6 F3
÷
3 3 )
Result
. 4
Result
. 4
Result
2
Prob(x > 3) =
0.7370 (4 d.p.)