Testing Hypothesis : Population Variance σ
2
[
Hypothesis
]
H
o
: σ
2
= σ
o
2
( > 0)
H
1
: σ
2
≠ σ
o
2
H
1
: σ
2
> σ
o
2
H
1
: σ
2
< σ
o
2
[
Test Type
]
χ
2
-test
Significance Level
α
=
(0 < α < 1)
[
Sample Data
]
(input either sample data or sample statistics using csv / bsv)
[
Sample Statistics
]
Sample Size
n
=
( > 1)
Sample Variance
s
2
=
( > 0)
[
Confidence Interval
]
χ
2
n-1 ; 1-α/2
=
χ
2
n-1 ; α/2
=
( (n-1)s
2
/ χ
2
n-1 ; α/2
,
(n-1) s
2
/ χ
2
n-1 ; 1-α/2
)
⇔
(
,
)
<Figure 7.2.1> Testing hypothesis for \(\sigma^2\) using 『eStatU』
Execute
α =
0
1
Graph Save