Question
a. what is the test static?
t=?
b. what is the observed significance level?
p-value=?
c. find the 95% confidence level for (u1-u2).
the confidence interval is (__,__)
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Answer #1

Ans : Given data are

sample1 sample2
1.2 3.1
1.4 3.6
1.4 3.1
1.8 2.7
1.5

a)

Calculate the pooled estimate of \large \sigma ^2

For sample1

sample mean = \large \bar{x} 1 = 7.3/5

\large \bar{x}1 = 1.46

sample standard deviation

S= (E(Xi – X)^2 n - 1

S = (E(Xi – 1.46)^2 4

s = 0.2190

for sample 2

sample mean = \large \bar{x} 2 = 12.5/4

\large \bar{x}2 = 3.125

sample standard deviation

S= (E(Xi – X)^2 n - 1

S = (E(Xi – 3.125)^2 3

s= 0.3685

the pooled estimate of \large \sigma ^2

1596064157743_blob.png

\large ^{Sp^2} = 0.0856

a)

Ans : The null and alternative hypothesis is

To Test :

H0= µ1 - µ2 =0 versus   Ha : µ1 - µ2 <0

Ans :B

Test Statistic

t = 21 - 22-A (n1 - 1)s12 + (n2-)s22 nl + n2 - 2 1 n1 1 n2 +

1 - 2 - A t = 1 Sp + 1 n2 Vn1

1.46 - 3.125 t = 1 0.2926 * + 5 1 4

t= -8.48

b) p - value

\large \alpha = 0.10

df = n1+n2-2 = 5+4-2 = 7

p- value =  0.000031

critical region : If p - value < \large \alpha then reject H0

since p-value < \large \alpha =0.10 then we reject the null hypothesis at 0.1 level of significance

Conclusion : We conclude that there is sufficient evidence to indicate that the  µ2 > µ1 at 0.1 level of significance

c)

To find the 95% confidence level for (u1-u2).

100(1-\large \alpha)% Confidence interval for two populaton mean difference is

1 1 (1 – 82 +ta, n1 + n2 – 2 * Sp + n1 n2

the 95% confidence level for (u1-u2).

1 1 (1.46 – 3.125 + 10.1,7 * 0.2926* + 5 4

(-1.665 +1.415 + 0.1963)

(-1.9427 , -1.3872)

the confidence interval is (-1.9427 , -1.3872)

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