Agriculture Reference
In-Depth Information
the claim that the pumps manufactured by the
company fill a 1,000-l water tank in 8 min.
2.
cut flowers he took 100 flower sticks from each
type and found that the average vase life of two
types of flowers sticks were 72 and 68 h with
8 and 9 h standard deviations, respectively.
Assuming that (1) both the types of flowers
have the same variability and (2) different
variabilities, test whether the vase life of type A
is better than type B or not.
Test of Significance Between Two Means
Two large samples
ð
x 11 ; x 12 ; ...; x 1 n 1
Þ
and
ð
x 21 ; x 22 ; ...; x 2 n 2
Þ
of
sizes
n 1 and
n 2
2
n 1
with means
x 1 and
x 2 and variances
s
and
2
n 2
s
are drawn independently at random from
two populations with means
μ 1 and
μ 2 and
Solution. Given that:
σ 2 2 , respectively.
As two large samples are drawn indepen-
dently
σ 1 2 and
variances
Type
Mean
S.D.
Sample size
from two
population
so
x 1
and
.
A
72 h
8 h
100
N μ 1 ; σ 1 2
x 2 N μ 2 ; σ 2 2
B
68 h
9 h
100
n 1
n 2
So to test
H 0 : μ 1 ¼ μ 2 , the test statistic is
the given condition σ 1 2
¼ σ 2 2
(a)
Under
¼
σ
H 0 :
vase life of two type of flowers are equal
against
2
ð
unknown
Þ
and the null hypothesis
x 1 xð Þ
σ 1 2
τ ¼
s
;
n 1 þ σ 2 2
H 1 :
vase life of type A
>
vase life
n 2
of type B. So the test statistic under
H 0 is
x 1 x 2
σ
which follows the distribution of a standard
normal variate with mean zero and unit
variance.
When population variance are unknown,
then these are replaced by respective sample
variances
τ ¼
^ q 1
0 ; 1 Þ;
1
n 2
n 1 þ
where
2
n
2
n
2 . If both the population
variances are equal and unknown, then esti-
mate of common population variance is
given by
s
1 and
s
^
¼ n 1 s n 1 2
þ n 2 s n 2 2
n 1 þ n 2
8 2
9 2
100
þ
100
σ
¼
100 þ 100
100
ð
64
þ
81
Þ
145
2 :
¼
¼
200
¼ n 1 s n 1 2
þ n 2 s n 2 2
n 1 þ n 2
2
σ
:
So,
68
145
2
72
4
1
σ 1 2
¼ σ 2 2
¼ σ
2
Thus, the test statistic under
τ ¼
s
¼
p
¼
3
:
322
:
(unknown) comes out to be
:
45
1
100 þ
1
100
x 1 x 2
τ ¼
s
1
n 1 þ
1
n 2
Let the level of significance be
0.05.
This is a one-tailed test. Since the cal
τ > τ 0 : 05 ¼
α ¼
2
σ
1
:
645, the test is significant, we
reject
the null hypothesis and accept
the
which follows
N
(0, 1).
alternative hypothesis
Vase life of
type A is more than that of type B.
H 1 :
Example 9.18.
A flower exporter is to select
large quantity of cut flowers from two lots of
flowers type A and B. To test the vase life of
Under the given condition of σ 1 2
6¼ σ 2 2
and
(b)
both being unknown
. The null hypothesis and
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