Operation Manual

Statistics 12-15
8212STAT.DOC TI-82, Chapter, English Bob Fedorisko Revised: 02/09/01 9:23 AM Printed: 02/09/01
12:42 PM Page 15 of 22
Types of Statistical Analysis
The SET UP CALCS settings are used for statistical analyses. You can override
SET UP CALCS settings by specifying the name(s) of the list(s) and frequency
after the statistical calculation instruction (Appendix A).
1-Var Stats
1-Var Stats
(one-variable statistics,
STAT CALC
item
1
) calculates
statistical variables as indicated on the previous page.
2-Var Stats
2-Var Stats
(two-variable statistics,
STAT CALC
item
2
) calculates
statistical variables as indicated on the previous page.
Med
.
Med
Med
.
Med
(median-median,
STAT CALC
item
4
) fits the data to the model
y=ax+b
using the median-median line (resistant line) technique, calculating
the summary points
x
1
,
y
1
,
x
2
,
y
2
,
x
3
, and
y
3
. It displays
a
(slope) and
b
(
y
-intercept).
LinReg (ax+b)
LinReg (ax+b)
(linear regression,
STAT CALC
item
5
) fits the data to the
model
y=ax+b
using a least-squares fit and
x
and
y
. It displays
a
(slope),
b
(
y
-intercept), and
r
(correlation coefficient).
QuadReg
QuadReg
(quadratic regression,
STAT CALC
item
6
) fits the data to the
second-order polynomial
y=ax
2
+bx+c
. It displays
a
,
b
, and
c
. For three
points the equation is a polynomial fit; for four or more, it is a polynomial
regression. At least three points are required.
CubicReg
CubicReg
(cubic regression,
STAT CALC
item
7
) fits the data to the third-
order polynomial
y=ax
3
+bx
2
+cx+d
. It displays
a
,
b
,
c
, and
d
. For four points
the equation is a polynomial fit; for five or more, it is a polynomial
regression. At least four points are required.
QuartReg
QuartReg
(quartic regression,
STAT CALC
item
8
) fits the data to the
fourth-order polynomial
y=ax
4
+bx
3
+cx
2
+dx+e
. It displays
a
,
b
,
c
,
d
, and
e
.
For five points the equation is a polynomial fit; for six or more, it is a
polynomial regression. At least five points are required.