Casio FX-795P - 2-5 Statistical Calculations; Specifying the Number of Significant Digits and the Number of Decimal Places; Statistical Data Input

;
CHAPTER
2
Manual
Operations
8
Sus
tetieat
Caleutations
As
shown
above,
press
the
@)
key
after
inputting
data.
“STAT
...”
will
be
dis-
@
Statistics
Output
played.
Statistics
can
be
obtained
by
STAT
LIST,
STAT
LIST
1,
STAT
LIST
2,
EOX
and
EOY
commands.
This
computer
allows
the
calculation
of
the
following
!
:
*].
y
data
can
be
omitted
by
using
“x
data
(
(i)
frequency)
G4)”.
In
such
a
case
Statistics:
y’s
values
are
the
same
as
the
previous
ones.
({
B
frequency]
can
be
omit-
ted.)
Statistics
Formula
|
!
*2,
When
x
data
can
be
omitted
by
using
“Gy
data
(G)
frequency)
[aj
”,
x
*
Number
of
statistical
data
processed
n
|
values
are
the
same
as
the
previous
ones.
([
(£]
frequency]
can
be
omitted.)
zx
Sum
of
x
data
Sx
‘
*3.
When@4are
pressed
instead
of
after
data
input,
the
data
is
deleted
L
2
Sum
of
y
data
Sy
|
from
the
statistical
memory.
Zxt2
|
Sum
of
squares
of
x
data
Sa?
|
*
Input
statistical
data
are
stored
even
after
power
is
off
unless
the
above
=yt2
|
Sum
of
squares
of
y
data
zy?
i
deletion
is
made
or
the
STAT
CLEAR
command
is
executed
by
pressing
Zxy
|
Sum
of
products
of
x
and
y
data
Eay
fi
lexaedee.
Therefore,
when
inputting
statistical
data
anew,
be
sure
to
Za/n
|
Mean
of
x
data
za
execute
the
STAT.CLEAR
command
in
advance
so
as
to
clear
statistical
Zy/n
|
Mean
of
y
data
=
memories.
kid
i
*
When
“frequency”
is.omitted,
frequency
is
regarded
as
1.
zov-1
|
Sample
standard
deviation
of
x
data
[22
ee
ee)
|
|
*
Take
note
that
the
&
key
and
the@allJkeys
are
functionally
different.
The
oe
:
former
is
used
for
statistical
data
input
in
manual
calculations
while
the
latter
yor
|
Sample
standard
deviation
of
y
data
V
a8
Ge
|
is
one-key
command
for
data
input,
STAT
CLEAR,
STAT
LIST,
etc.,
in
4
XOp
Population
standard
deviation
of
x
data
(22-ee
program
to
described
later.
nF
yon
Population
standard
deviation
of
y
data
/2
ee
@
Linear
regression
constant
term
Zy—b+
Ex
be
za.
b
Linear
regression
coefficient
nzacy—Za+
Sy
“nea?
=(Sa)yy
|
r
Correlation
coefficient ee
ee
|
Vinsa?—
(32)
in
(eH)
|
EOX
|
Estimated
x
value
for
a
given
y
value
EOX(y)=
4
+
a
|
:
EOY
|
Estimated y
value
for
a
given
x
value
EOY(%)
=a4+%-8
i
—
1
i
:
34
35
—