Texas Instruments TI-36X Pro User Manual - Page 40

To define statistical data points

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sx or sy Gx or Gy Gx2 or Gy2 Gxy a (2-Var) b (2-Var) r (2-Var) x¢ (2-Var) y¢ (2-Var) MinX Q1 (1-Var) Med Q3 (1-Var) MaxX Population standard deviation of x or y. Sum of all x or y values. Sum of all x2 or y2 values. Sum of (x...y) for all xy pairs. Linear regression slope. Linear regression y-intercept. Correlation coefficient. Uses a and b to calculate predicted x value when you input a y value. Uses a and b to calculate predicted y value when you input an x value. Minimum of x values. Median of the elements between MinX and Med (1st quartile). Median of all data points (1-Var stats only). Median of the elements between Med and MaxX (3rd quartile). Maximum of x values. To define statistical data points: 1. Enter data in L1, L2, or L3. (See Data editor.) Note: Non-integer frequency elements are valid. This is useful when entering frequencies expressed as percentages or parts that add up to 1. However, the sample standard deviation, Sx, is undefined for non-integer frequencies, and Sx = Error is displayed for that value. All other statistics are displayed. 2. Press % u. Select 1-Var or 2-Var and press

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40
To define statistical data points:
1.
Enter data in L1, L2, or L3. (See Data editor.)
Note:
Non-integer frequency elements are valid. This is
useful when entering frequencies expressed as
percentages or parts that add up to 1. However, the
sample standard deviation, Sx, is undefined for non-integer
frequencies, and Sx = Error is displayed for that value. All
other statistics are displayed.
2. Press
%u
. Select
1-Var
or
2-Var
and press
<
.
3.
Select L1, L2, or L3, and the frequency.
4. Press
<
to display the menu of variables.
5.
To clear data, press
v v
,
select a list to clear, and
press
<
.
s
x
or
s
y
Population standard deviation of
x
or
y
.
G
x
or
G
y
Sum of all
x
or
y
values.
G
x
2
or
G
y
2
Sum of all
x
2
or
y
2
values.
G
xy
Sum of (
x
…
y
) for all
xy
pairs.
a
(
2-Var
)
Linear regression slope.
b
(
2-Var
)
Linear regression
y
-intercept.
r
(
2-Var
)
Correlation coefficient.
x
¢
(
2-Var
)
Uses
a
and
b
to calculate predicted
x
value
when you input a
y
value.
y
¢
(
2-Var
)
Uses
a
and
b
to calculate predicted
y
value
when you input an
x
value.
MinX
Minimum of
x
values.
Q1 (1-Var)
Median of the elements between MinX and
Med (1st quartile).
Med
Median of all data points (1-Var stats only).
Q3 (1-Var)
Median of the elements between Med and
MaxX (3rd quartile).
MaxX
Maximum of
x
values.