Sharp EL733A EL-733A Operation Manual - Page 77

Variable, Statistics

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CORRECTING A DATA ENTRY Occasionally we humans make errors, especially when it comes to keying in long lists of numbers. Fortunately, the EL-733A comes with a function that allows us to correct any errors we make when keying in statistical data. In STAT mode, the [144 key changes its primary meaning to la/ which stands for "correct data." As a demonstration of correcting a data entry, refer to the example "average mileage" calculation back on page 148 and assume that after you had completed your calculation of the mean mileage, the driver of truck number 4 informed you that he had made an error in his calculation (he didn't have a SHARP calculator). After checking his numbers he found that his mileage for the month was actually 7.20, not 7.34. To correct that error and recalculate the mean based on the accurate data, the keystrokes are as follows: 7.34 [col 7.20 'DATA' 2nr1Fj Result: 6.07 Notice as you are making the above changes that when you press 7.34 (CDT the calculator displays 11.00 indicating that it has removed one of the 12 data. When you add the correct datum by pressing 7.20 (DATA], the calculator displays 12.00, which is the number of data in the complete list. Two-Variable Statistics When you add a second dimension (a second variable) to statistical calculations, the number of potential applications increases considerably. Again, the most timeconsuming part of solving a two-variable statistics problem on your EL-733A is just keying in the (x,y ) data pairs. The statistical functions on the EL-733A that require the input of two-variable data are as follows: _ (2niFi Return a predicted x for a given y. Return a predicted y for a given x. Mean of the y's. Sample standard deviation of y's. Population standard deviation of the y's. 7( .19 Sum of the individual pair products: x times y. (2nde Sum of the y's. Sum of the y's after they have been squared. f2ndM Correlation coefficient. Paw) y-intercept in the regression formula y = a + bx. Ei Slope in the linear regression formula y = a + bx. 1W 151

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CORRECTING
A
DATA
ENTRY
Occasionally
we
humans
make
errors,
especially
when
it
comes
to
keying
in
long
li
sts
of
numbers.
Fortunately,
the
EL
-733A
comes
with
a
function
that
allows
us
to
correct
any
errors
we
make
when
keying
in
statistical
data.
In
STAT
mode,
the
[144
key
changes
its
primary
meaning
to
la/
which
stands
for
"correct
data."
As
a
demonstration
of
correcting
a
data
entry,
refer
to
the
example
"average
mileage"
calculation
back
on
page
148
and
assume
that
after
you
had
completed
your
calculation
of
the
mean
mileage,
the
driver
of
truck
number
4
informed
you
that
he
had
made
an
error
in
his
calculation
(he
didn't
have
a
SHARP
calculator).
After
checking
his
numbers
he
found
that
his
mileage
for
the
month
was
actually
7.20,
not
7.34.
To
correct
that
error
and
recalculate
the
mean
based
on
the
accurate
data,
the
keystrokes
are
as
follows:
7.34
7.20
'DATA'
2nr1Fj
[col
Result:
6.07
Notice
as
you
are
making
the
above
changes
that
when
you
press
7.34
(CDT
the
calculator
displays
11.00
indicating
that
it
has
removed
one
of
the
12
data.
When
you
add
the
correct
datum
by
pressing
7.20
(DATA],
the
calculator
displays
12.00,
which
is
the
number
of
data
in
the
complete
li
st.
1W
Two
-Variable
Statistics
When
you
add
a
second
dimension
(a
second
variable)
to
statistical
calculations,
the
number
of
potential
applications
increases
considerably.
Again,
the
most
time-
consuming
part
of
solving
a
two
-variable
statistics
problem
on
your
EL
-733A
is
just
keying
in
the
(x,y
)
data
pairs.
The
statistical
functions
on
the
EL
-733A
that
require
the
input
of
two
-variable
data
are
as
follows:
_
(2niFi
7(
.
19
(2nde
f2ndM
Paw)
Ei
Return
a
predicted
x
for
a
given
y.
Return
a
predicted
y
for
a
given
x.
Mean
of
the
y's.
Sample
standard
deviation
of
y's.
Population
standard
deviation
of
the
y's.
Sum
of
the
individual
pair
products:
x
times
y.
Sum
of
the
y's.
Sum
of
the
y's
after
they
have
been
squared.
Correlation
coefficient.
y
-intercept
in
the
regression
formula
y
=
a
+
bx.
Slope
in
the
linear
regression
formula
y
=
a
+
bx.
151