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Casio fx-83GT PLUS - Page 21

Casio fx-83GT PLUS
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To
delete
all
Stat
Editor
contents:
In
the
Stat
Editor,
perform
the
following
key
operation:
(1)
(STAT)
(8)
(Edit)
(2)
(Del-A).
Obtaining
Statistical
Values
from
Input
Data
To
obtain
statistical
values,
press
while
in
the
Stat
Editor
and
then
recall
the
statistical
variable
(ox,
£x°,
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:
Xx",
Dx";
Ly",
Ly,
Day,
2
a
yee
(uA)
G)(STAT)
()(Sum)
G)
to
Number
of
Items:
1*,
Mean:
x*,
y,
Population
Standard
Deviation:
ox",
oy,
Sample
Standard
Deviation:
sx*,
sy
G)(STAT)
(4)(Var)
()
to
Minimum
Value:
minX*,
minY,
Maximum
Value:
maxX*,
maxY
(surt)
(1
(STAT)
()(MinMax)
()
to
(2)
(When
the
single-variable
statistical
calculation
is
selected)
(O(STAT)
[(6)(MinMax)
()
to
(4)
(When
a
paired-variable
statistical
calculation
is
selected)
Regression
Coefficients:
A,
B,
Correlation
Coefficient:
7,
Estimated
Values:
<x,
(uF)
GJ(STAT)
(5)(Reg)
@
to
6)
Regression
Coefficients
for
Quadratic
Regression:
A,
B,
C,
Estimated
Values:
£1, <2,
P
GO(STAT)
()(Reg)
G)
to
¢
See
the
table
at
the
beginning
of
this
section
of
the
manual
for
the
regression
formulas.
°
%,
%1,
Xe
and
#
are
not
variables.
They
are
commands
of
the
type
that
take
an
argument
immediately
before
them.
See
“Calculating
Estimated
Values”
for
more
information.
2
To
input
the
single-variable
data
x
=
{1,
2,
2,
3, 3,
3,
4, 4,
5},
using
the
FREQ
column
to
specify
the
number
of
repeats
for
each
items
({xn;
freqn}
=
{1;1,
2;2, 3;3,
4;2,
5;1}),
and
calculate
the
mean
and
population
standard
deviation.
(SETUP)
@
(8)
(STAT)
G1)
(ON)
(2)
(STAT)
GJ
(1-VAR)
126384858
oO®
1263626)
OD
STANG
van
0S
a
Bd
GA
CD
(STAT)
@
(Var)
B)
(ox)
1.
154700538
Results:
Mean:3
Population
Standard
Deviation:
1.154700538
43
To
calculate
the
linear
regression
and
logarithmic
regression
correlation
coefficients
for
the
following
paired-variable
data
and
determine
the
regression
formula
for
the
strongest
correlation:
(x,
y)
=
(20,
3150),
(110,
7310),
(200,
8800),
(290,
9310).
Specify
Fix
3
(three
decimal
places)
for
results.
E-20

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