Assembly Language Programming: Inferential Statistics and Distribution Functions
7
R
The answer (
Ans
69.1121340648)
from step 14 is the lower bound.
1
å
99 is the upper bound. The
normal curve is defined by a
mean
µ
of 65 and a standard
deviation
σ
of 2.5.
y
¡
¢
1
C
99
¢
65
¢
2
Ë
5
¤
S
Plot and shade the normal curve.
Area=
is the area above the 95th
percentile.
low=
is the lower
bound.
up=
is the upper bound.
You can remove the menu from
the bottom of the screen.
Í
:
Inferential Statistics Editors
Displaying the Inferential Statistics Editors
When you select a hypothesis test or confidence interval instruction from the
home screen, the appropriate inferential statistics editor is displayed. The editors
vary according to each test or interval’s input requirements.
When you select the
ANOVA(
instruction, it is pasted to the home screen.
ANOVA(
does not have an editor screen.
Using an Inferential Statistics Editor
This example uses the inferential statistics editor for
TTest
.
1
Select a hypothesis test or
confidence interval from the
STAT TESTS
menu. The
appropriate editor displays.
-
Œ
/
'
&
'
(displays
the
TTest
editor)
2
Select
Data
or
Stats
input, if the
selection is available.
"
or
!
b
3
Enter real numbers, list names,
or expressions for each
argument in the editor. See the
input descriptions table on
page 24.
#
65
#
[H] [G] [H] [T]
#
1
#
4
Select the alternative hypothesis
against which to test, if the
selection is available.
b
The parameters are
ShdNm(
lowerbound,
upperbound [ ,
m
,
s
])
.
Select Data to enter the data
lists as input. Select Stats to
enter summary statistics,
such as
v
, Sx, and n as
inputs.
Most of the inferential
statistics editors for the
hypothesis tests prompt you
to select one of three
alternative hypotheses.
