Answer:
|Z| = |-4.089| > 1.645 at 0.10 level of significance
Null hypothesis is rejected at 0.10 level of significance
There is a difference between the two Population proportions
Explanation:
Step(i):-
Given first sample size (n₁) = 50
Given proportion of the first sample p⁻₁= 0.2
Given second sample size (n₂) = 50
Given proportion of the second sample p₂⁻ = 30/50 = 0.6
Null Hypothesis : H₀: p₁⁻=p₂⁻
Alternative Hypothesis : H₁: p₁⁻≠p₂⁻
Step(ii):-
Z-statistic
![Z = \frac{p_(1) -p_(2) }{\sqrt{pq((1)/(n_(1) ) +(1)/(n_(2)) ) } }](https://img.qammunity.org/2021/formulas/mathematics/college/bxc42tvie4qr2ln0eznoetdp0av6s1844s.png)
Where
![P = (n_(1)p_(1) +n_(2) p_(2) )/(n_(1) +n_(2) )](https://img.qammunity.org/2021/formulas/mathematics/college/ozbvygz7gj01biyhb74wc1mhzw863iivhl.png)
![P = (50X0.2+50X0.6)/(50+50) = 0.4](https://img.qammunity.org/2021/formulas/mathematics/college/8x25u039s2yzrw4kx1gqg0602msghkz1dn.png)
Z-statistic
![Z = \frac{0.2-0.6}{\sqrt{0.4 X 0.6((1)/(50)+(1)/(50) } }](https://img.qammunity.org/2021/formulas/mathematics/college/rsvxp978mlqcv4avwqeovjbsn50882eeec.png)
Z = -4.089
Level of significance =0.10
Z₀.₁₀ = 1.645
|Z| = |-4.089| > 1.645 at 0.10 level of significance
Null hypothesis is rejected at 0.10 level of significance
Final answer:-
There is a difference between the two Population proportions