Sharp EL733A EL-733A Operation Manual - Page 75

Data], Idatai

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coordinate system (that formula is y = ax+b where a is the "slope of the line and b is the "y intercept") and you should have at least brushed shoulders with the term "correlation" or "correlation coefficient." The function IMF TL calculates the correlation coefficient for a set of data pairs in a linear regression problem. The correlation coefficient is a measure of how close the data points in the set fall to the straight line that approximates their path. However, you may be able to get all the information you need out of the brief explanation and examples that are given in this chapter. So give it a try, even if you never have heard any of the above statistical terms. In any statistical calculation, once you have your numbers keyed in correctly, the work is done. As long as you feed them the correct numbers, the statistical functions on the EL-733A take care of all the involved number crunching. In the following section of this chapter, we look at how you key in a list of single values and at the one-variable statistics functions that you can apply to that list of single values. Single Variable Statistics In the example back on page 24, you were the owner of a trucking company that reduced its fuel costs by installing wind deflectors on the cabs of all the tractors in the fleet. One of the numbers that you worked with in that problem was the "average" mileage. But where does that number come from? What is the easiest way to calculate an average mileage from a fleet of, say, twelve trucks? TN KEYING DATA AND THE UFAn FUNCTION Assume that you are given a stack of mileage reports at the end of a month. The twelve drivers in your company have 146 all calculated miles-per-gallon, based on the miles they put on their trucks and the amount of fuel their trucks consumed during the month. The mileage figures are as follows: Truck Number Mileage 1 7.13 2 4.97 3 6.26 4 7.34 5 5.69 6 6.95 7 4.03 8 6.57 9 5.85 10 7.42 11 6.11 12 4.67 To calculate the average or "mean" for the above mileages, just key in each number and press DATA . ( (DATA] is the new meaning of the (m+) key in STAT mode. If you are not in STAT mode, press the N2 -I )MODE) key until the STAT indicator comes on in the display.) Once you have all the numbers keyed in, press j2ndl [3 to calculate the mean. Now key in that list of mileages and calculate the mean. The keystrokes are as follows: (Mode: STAT) [2 F) 7.13 (DATA 4.97 [DATA 6.26 (DATA] 7.34 IDATAI 5.69 (DATA) 147

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coordinate
system
(that
formula
is
y
=
ax+b
where
a
is
the
"slope
of
the
line
and
b
is
the
"y
intercept")
and
you
should
have
at
least
brushed
shoulders
with
the
term
"correlation"
or
"correlation
coefficient."
The
function
IMF
L
T
calculates
the
correlation
coefficient
for
a
set
of
data
pairs
in
a
linear
regression
problem.
The
correlation
coefficient
is
a
measure
of
how
close
the
data
points
in
the
set
fall
to
the
straight
line
that
approximates
their
path.
However,
you
may
be
able
to
get
all
the
information
you
need
out
of
the
brief
explanation
and
examples
that
are
given
in
this
chapter.
So
give
it
a
try,
even
if
you
never
have
heard
any
of
the
above
statistical
terms.
In
any
statistical
calculation,
once
you
have
your
numbers
keyed
in
correctly,
the
work
is
done.
As
long
as
you
feed
them
the
correct
numbers,
the
statistical
functions
on
the
EL
-733A
take
care
of
all
the
involved
number
crunching.
In
the
following
section
of
this
chapter,
we
look
at
how
you
key
in
a
list
of
single
values
and
at
the
one
-variable
statistics
functions
that
you
can
apply
to
that
li
st
of
single
values.
Single
Variable
Statistics
In
the
example
back
on
page
24,
you
were
the
owner
of
a
trucking
company
that
reduced
its
fuel
costs
by
installing
wind
deflectors
on
the
cabs
of
all
the
tractors
in
the
fl
eet.
One
of
the
numbers
that
you
worked
with
in
that
problem
was
the
"average"
mileage.
But
where
does
that
number
come
from?
What
is
the
easiest
way
to
calculate
an
average
mileage
from
a
fl
eet
of,
say,
twelve
trucks?
KEYING
TN
DATA
AND
THE
UFAn
FUNCTION
Assume
that
you
are
given
a
stack
of
mileage
reports
at
the
end
of
a
month.
The
twelve
drivers
in
your
company
have
146
all
calculated
miles
-per
-gallon,
based
on
the
miles
they
put
on
their
trucks
and
the
amount
of
fuel
their
trucks
consumed
during
the
month.
follows:
Truck
Number
The
mileage
fi
gures
are
as
Mileage
1
7.13
2
4.97
3
6.26
4
7.34
5
5.69
6
6.95
7
4.03
8
6.57
9
5.85
10
7.42
11
6.11
12
4.67
To
calculate
the
average
or
"mean"
for
the
above
mileages,
just
key
in
each
number
and
press
DATA
.
(
(DATA]
is
the
new
meaning
of
the
(m+)
key
in
STAT
mode.
If
you
are
not
in
STAT
mode,
press
the
N2
-
I
)MODE)
key
until
the
STAT
indicator
comes
on
in
the
display.)
Once
you
have
all
the
numbers
keyed
in,
press
j2ndl
[3
to
calculate
the
mean.
Now
key
in
that
list
of
mileages
and
calculate
the
mean.
The
keystrokes
are
as
follows:
(Mode:
STAT)
[2
F)
7.13
(DATA
4.97
[DATA
6.26
7.34
5.69
(DATA]
IDATAI
(DATA)
147