Texas Instruments TI-82 User Manual - Page 169

Types of Statistical Analysis

Page 169 highlights

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 x1, y1, x2, y2, x3, and y3. 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=ax2+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 thirdorder polynomial y=ax3+bx2+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=ax4+bx3+cx2+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. Statistics 12-15

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Statistics
12-15
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.