Test And Interval Output Variables - Texas Instruments TI-84 PLUS - Graphing Calculator Manual Book

Input
n1
n2
C-Level
Observed (Matrix)
Expected (Matrix)
df
Xlist, Ylist
RegEQ

Test and Interval Output Variables

The inferential statistics variables are calculated as indicated below. To access these variables for
use in expressions, press 
column below.
Variables
p-value
test statistics
degrees of freedom
sample mean of x values for
sample 1 and sample 2
sample standard deviation of x for
sample 1 and sample 2
number of data points for sample 1
and sample 2
pooled standard deviation
Description
The count of observations in sample one for the 2-PropZTest
and 2-PropZInt. Must be an integer > 0.
The count of observations in sample two for the 2-PropZTest and
2-PropZInt. Must be an integer > 0.
The confidence level for the interval instructions. Must be
< 100. If it is 1, it is assumed to be given as a percent and is
‚
divided by 100. Default=0.95.
The matrix name that represents the columns and rows for the
observed values of a two-way table of counts for the
2
GOF-Test. Observed must contain all integers
c
dimensions must be at least 2×2.
The matrix name that specifies where the expected values should
be stored. Expected is created upon successful completion of
2 2
the -Test and GOF-Test.
c c
df (degree of freedom) represents (number of sample categories)
- (number of estimated parameters for the selected distribution +
1).
The names of the lists containing the data for LinRegTTest and
LinRegTInt. Defaults are L1 and L2, respectively. The
dimensions of Xlist and Ylist must be the same.
The prompt for the name of the Y= variable where the calculated
regression equation is to be stored. If a Y= variable is specified,
that equation is automatically selected (turned on). The default is
to store the regression equation to the RegEQ variable only.
(
5 5:Statistics
Tests
p
Ü
2
z, t, c ,
df
1, 2
v v
Sx1,
Sx2
n1, n2
SxP
Chapter 13: Inferential Statistics and Distributions
), and then select the
VARS
LinRegTTest,
Intervals ANOVA
p
Ü
t,
df df
1, 2
v v
Sx1,
Sx2
n1, n2
SxP SxP
‚ 0 and
2
c -Test and
0. Matrix
|
menu listed in the last
VARS
Menu
TEST
TEST
TEST
TEST
TEST
TEST
TEST
240