Texas Instruments TI-30XS User Manual - Page 31

Statistics - standard deviation

Page 31 highlights

If Sydney, Australia is 21ÄC, find the temperature in degrees Fahrenheit. !$$$21 < Statistics % t v % t displays a menu with the following options: • 1-Var Stats analyzes statistical data from 1 data set with 1 measured variable, x. • 2-Var Stats analyzes paired data from 2 data sets with 2 measured variables-x, the independent variable, and y, the dependent variable. • StatVars displays a secondary menu of statistical variables. The StatVars menu only appears after you have calculated 1-Var or 2-Var stats. Use $ and # to locate the desired variable, and press < to select it. Variables Definition n Ï or Ð Number of x or (x,y) data points. Mean of all x or y values. Sx or Sy Îx or Îy Òx or Òy Sample standard deviation of x or y. Population standard deviation of x or y. Sum of all x or y values. Òx2 or Òy2 Sum of all x2 or y2 values. Òxy Sum of (x ...y) for all xy pairs. a Linear regression slope. b Linear regression y-intercept. r Correlation coefficient. xÅ (2-Var) Uses a and b to calculate predicted x value when you input a y value. Copyright © 2006 Texas Instruments Incorporated 31

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Copyright © 2006 Texas Instruments Incorporated
31
If Sydney, Australia is 21
Ä
C, find the temperature in degrees
Fahrenheit.
Statistics
% t
v
% t
displays a menu with the following options:
1-Var Stats
analyzes statistical data from 1 data set with 1
measured variable,
x
.
2-Var Stats
analyzes paired data from 2 data sets with 2
measured variables—
x
, the independent variable, and
y
,
the dependent variable.
StatVars
displays a secondary menu of statistical
variables. The StatVars menu only appears after you have
calculated 1-Var or 2-Var stats. Use
$
and
#
to locate
the desired variable, and press
<
to select it.
!$$$
21
<
Variables
Definition
n
Number of
x
or (
x
,
y
) data points.
Ï
or
Ð
Mean of all
x
or
y
values.
Sx
or
Sy
Sample standard deviation of
x
or
y
.
Î
x
or
Î
y
Population standard deviation of
x
or
y
.
Ò
x
or
Ò
y
Sum of all
x
or
y
values.
Ò
x
2
or
Ò
y
2
Sum of all
x
2
or
y
2
values.
Ò
xy
Sum of (
x
y
) for all
xy
pairs.
a
Linear regression slope.
b
Linear regression
y
-intercept.
r
Correlation coefficient.
x
Å
(
2-Var
)
Uses
a
and
b
to calculate predicted
x
value when you input a
y
value.