"staTI
{s}
{sx}
2.5808
Calculates
standard
deviation.
Example: Weighted Mean. A manufacturing
company
purchases a
certain part four times a
year.
Last year's purchases
were:
Price
per
Part
(x) $4.25 $4.60
$4.70 $4.10
Number
of
Parts
(y)
250
800
900
1000
Find the mean price paid for this part.
Remember
to enter y, the
weight (frequency), before x, the price.
Keys:
CLEAR
|
{2}
250 I
ENTER
I4.25
(j+)
800
I
ENTER
I
4.6
f2+|
900 I
ENTER
I4.7
(j+)
1000
I
ENTER
I 4.1
f2+|
HrSTATl
{*,?}
{*«}
Display:
Description:
Clears
the
statistics
registers.
1.0000
2.0000
3.0000
4.0000
Enters
the
data
and
their weights.
4.4314
Calculates mean price
weighted for quantity
purchased.
Linear
Regression
linear
regression (also called
linear
estimation)
is a statistical method
for finding a straight line that best fits a set of z,y-data. Be sure to
enter your data values before using these functions.
•
To
find
an
estimated
value
for x (or
y),
first
key
in a
given
hypo
thetical value for y (or x),
then
press Hi
stat
I
{L.R.}
{£} (or
{*})•
•
To
find the
values
that
define
the line that best
fits
your
data,
press
dl
stat
I
{L.R.}
followed
{r},
{m}, or
{b}.
158
11:
Statistical
Operations
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