Sharp EL733A EL-733A Operation Manual - Page 76

Sharp EL733A Manual

Page 76 highlights

6.95 [DATA 4.03 [DATA) 6.57 (DATA 5.85 (DATA 7.42 IDATA 6.11 'DATA 4.67 (DATA lad Result: 6.08 Your fleet of trucks averaged 6.08 miles per gallon during this last month. THE TIECFAI KEY AND THE E2nCCT0 FUNCTION Pressing the (DATA) key in STAT mode after entering a single datum accumulates that datum for the statistical functions. When you press this key, you will notice that the calculator keeps track of how many data you have keyed in by counting them in the display. This displayed number is called "n." Pressing FM M brings "n" to the display. In one-variable statistics, the data are referred to in the function names as "x." Thus, for one-variable statistics, the functions that you can use are El ( x-bar or mean), (sample standard deviation), [ox) (population standard deviation), M (the, sum of the x's), and P1 (the sum of the x's after they have been squared). STANDARD DEVIATION To calculate the standard deviation for the above list of mileages, you first have to determine which type of standard deviation applies. The [2ndFI El key calculates the "sample standard deviation" and the 12nd key calculates the "population standard deviation." The "sample standard deviation" .assumes that the data you have keyed in are a sample of a large population for which you are trying to estimate the standard deviation. The "population standard deviation" assumes that the data you have keyed in are the entire population. In the case of the truck mileages, the "population standard deviation" is the one you would want to calculate, because you own only 12 trucks and those 12 trucks are all you are interested in (they are the entire population). If your calculations were, for example, for the benefit of the EPA to estimate the mileage for a certain model truck based on a sample of 12 road tests, the "sample standard deviation" would be your deviation of choice, because the EPA would take your results and apply them to all trucks of that model. For the list of numbers that you have keyed in, press (2ndF) M to calculate the population standard deviation (1.05) and press 12ndFJ El to calculate the sample standard deviation FR n (1.09). The variance is the standard deviation squared. Press to calculate variance after calculating the standard deviation. THElai AND FUNCTIONS As mentioned before, the M function returns the total of the list of numbers that you enter using the [DATA) key, and the [Er) function returns the result that you would get if you squared all those numbers and then added them together. In the average mileage example that we have used in this section, the total and the sum of the squares would probably not be something you were interested in knowing (unless you were going to use those values in some other statistical formulas). However, if you were interested in those values, you would find that pressing 12SF) ri would give you a result of 72.99 and that pressing ISM ri would give you a result of 457.11. 149 149

  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • 16
  • 17
  • 18
  • 19
  • 20
  • 21
  • 22
  • 23
  • 24
  • 25
  • 26
  • 27
  • 28
  • 29
  • 30
  • 31
  • 32
  • 33
  • 34
  • 35
  • 36
  • 37
  • 38
  • 39
  • 40
  • 41
  • 42
  • 43
  • 44
  • 45
  • 46
  • 47
  • 48
  • 49
  • 50
  • 51
  • 52
  • 53
  • 54
  • 55
  • 56
  • 57
  • 58
  • 59
  • 60
  • 61
  • 62
  • 63
  • 64
  • 65
  • 66
  • 67
  • 68
  • 69
  • 70
  • 71
  • 72
  • 73
  • 74
  • 75
  • 76
  • 77
  • 78
  • 79
  • 80
  • 81
  • 82
  • 83

6.95
[DATA
4.03
6.57
(DATA
5.85
(DATA
7.42
IDATA
6.11
'DATA
4.67
(DATA
lad
[DATA)
Result:
6.08
Your
fl
eet
of
trucks
averaged
6.08
miles
per
gallon
during
this
last
month.
THE
TIE
CFAI
KEY
AND
THE
2n
ECCT0
FUNCTION
Pressing
the
(DATA)
key
in
STAT
mode
after
entering
a
single
datum
accumulates
that
datum
for
the
statistical
functions.
When
you
press
this
key,
you
will
notice
that
the
calculator
keeps
track
of
how
many
data
you
have
keyed
in
by
counting
them
in
the
display.
This
displayed
number
is
called
"n."
Pressing
FM
M
brings
"n"
to
the
display.
In
one
-variable
statistics,
the
data
are
referred
to
in
the
function
names
as
"x."
Thus,
for
one
-variable
statistics,
the
functions
that
you
can
use
are
El
(
x
-bar
or
mean),
(sample
standard
deviation),
[ox)
(population
standard
deviation),
M
(the,
sum
of
the
x's),
and
P1
(the
sum
of
the
x's
after
they
have
been
squared).
STANDARD
DEVIATION
To
calculate
the
standard
deviation
for
the
above
list
of
mileages,
you
fi
rst
have
to
determine
which
type
of
standard
deviation
applies.
The
[2ndFI
El
key
calculates
the
"sample
standard
deviation"
and
the
12
nd
key
calculates
the
"population
standard
deviation."
The
"sample
standard
deviation"
.assumes
that
the
data
you
have
keyed
in
are
a
sample
of
a
large
population
for
which
you
are
trying
to
estimate
the
standard
deviation.
The
"population
standard
deviation"
assumes
that
the
data
you
have
keyed
in
are
the
entire
population.
In
the
case
of
the
truck
mileages,
the
"population
standard
deviation"
is
the
one
you
would
want
to
calculate,
because
you
own
only
12
trucks
and
those
12
trucks
are
all
you
are
interested
in
(they
are
the
entire
population).
If
your
calculations
were,
for
example,
for
the
benefit
of
the
EPA
to
estimate
the
mileage
for
a
certain
model
truck
based
on
a
sample
of
12
road
tests,
the
"sample
standard
deviation"
would
be
your
deviation
of
choice,
because
the
EPA
would
take
your
results
and
apply
them
to
all
trucks
of
that
model.
For
the
list
of
numbers
that
you
have
keyed
in,
press
(2ndF)
M
to
calculate
the
population
standard
deviation
(1.05)
and
press
12ndFJ
El
to
calculate
the
sample
standard
deviation
(1.09).
The
variance
is
the
standard
deviation
squared.
Press
FR
n
to
calculate
variance
after
calculating
the
standard
deviation.
THElai
AND
FUNCTIONS
As
mentioned
before,
the
M
function
returns
the
total
of
the
list
of
numbers
that
you
enter
using
the
[DATA)
key,
and
the
function
returns
the
result
that
you
would
get
if
you
squared
all
those
numbers
and
then
added
them
together.
In
the
average
mileage
example
that
we
have
used
in
this
section,
the
total
and
the
sum
of
the
squares
would
probably
not
be
something
you
were
interested
in
knowing
(unless
you
were
going
to
use
those
values
in
some
other
statistical
formulas).
However,
if
you
were
interested
in
those
values,
you
would
fi
nd
that
pressing
12SF)
ri
would
give
you
a
result
of
72.99
and
that
pressing
ISM
ri
would
give
you
a
result
of
457.11.
[Er)
149
149