Casio fx-991ES PLUS User Manual

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Note:  Use the FREQ (frequency) column to input the quantity (frequency) of 
identical data items. Display of the FREQ column can be turned on (displayed) 
or off (not displayed) using the Stat Format setting on the setup menu. 
 
   
To select linear regression and input the following data:  
 
   (170, 66), (173, 68), (179, 75)
 
 
(STAT)(A+BX) 
  
 
170 
 173  179 AC 
  
 
66 
 68  75  
Important:  • All data currently input in the Stat Editor is deleted whenever 
you exit the STAT Mode, switch between the single-variable and a paired- 
variable statistical calculation type, or change the Stat Format setting on 
the setup menu.  • The following operations are not supported by the Stat 
Editor: 
6,  6(M–),  =(STO). Pol, Rec, and multi-statements 
also cannot be input with the Stat Editor.
To change the data in a cell: In the Stat Editor, move the cursor to the cell  
that contains the data you want to change, input the new data, and then 
press 
To delete a line: In the Stat Editor, move the cursor to the line that you want 
to delete and then press 
&. 
To insert a line: In the Stat Editor, move the cursor to the location where 
you want to insert the line and then perform the following key operation: 
(STAT)(Edit)(Ins). 
To delete all Stat Editor contents: In the Stat Editor, perform the following 
key operation: 
(STAT)(Edit)(Del-A). 
Obtaining Statistical Values from Input Data
To obtain statistical values, press 
 while in the Stat Editor and then 
recall the statistical variable (
x
S
n
3
x
2
, etc.) you want. Supported statistical 
variables and the keys you should press to recall them are shown below. 
For single-variable statistical calculations, the variables marked with an 
asterisk (*) are available. 
Sum:  
3
x
2
*, 
3
x
*, 
3
y
2
3
y
3
xy
3
x
3
3
x
2
y
3
x
4
(STAT)   (Sum)    to 
Number of Items: 
n
*, Mean: 
M
*, 
N
Population Standard Deviation: 
x
S
n
*, 
y
S
n
Sample Standard Deviation: 
x
S
n
–1
*, 
y
S
n
–1
(STAT)   (Var)    to 
Regression Coefficients: A, B, Correlation Coefficient: 
r
,  Estimated 
Values: 
K
L
(STAT)   (Reg)    to 
Regression Coefficients for Quadratic Regression: A, B, C, Estimated 
Values:
 
K
1
K
2
L
 
(STAT)   (Reg)    to 
1
1
STAT
STAT
STAT
STAT
STAT
STAT