Answer to Question #192111 in Statistics and Probability for sagun poudel

Question #192111

A researcher would like to test whether there is any significant difference between the proportion of

safety consciousness of men and women while driving a car. In a sample of 300 men, 130 said that

they used seat belts. In a sample of 300 women, 90 said that they used seat belts. Test the claim that

there is no significant difference between the proportion of safety consciousness of men and women

while driving a car at 5% level of significance. (Given that Z0.025 = 1.96)




1
Expert's answer
2021-05-14T04:54:02-0400

Given,

n1=300X1=130X2=90n2=300n_1=300\\X_1=130\\X_2=90\\n_2=300


Let P1P_1 be the population of male use seat belts and P2P_2 be the proportion of female use seat belts.


P^1=X1n1=130300=0.4333 P^2=X2n2=90300=0.3\hat P_1=\dfrac{X_1}{n_1}=\dfrac{130}{300}=0.4333\\\ \\\hat P_2=\dfrac{X_2}{n_2}=\dfrac{90}{300}=0.3


Now,

P=n1P^1+n2P^2n1+n2P=(300×0.4333)+(300×0.3)600P=0.3667P=\dfrac{n_1\hat P_1+n_2\hat P_2}{n_1+n_2}\\P=\dfrac{(300\times0.4333)+(300\times 0.3)}{600}\\P=0.3667


We want to test

Null Hypothesis H0:P1=P2H_0:P_1=P_2

Alternate Hypothesis H1:P1P2H_1:P_1\neq P_2


Test Statistics=P^1P^2P(1P)(1n1+1n2)\therefore Test\ Statistics=\dfrac{\hat P_1-\hat P_2}{\sqrt{P(1-P)(\frac{1}{n_1}+\frac{1}{n_2})}}


0.43330.30.3667×0.6333×(1300+1300) 0.13330.0395=3.3877\Rightarrow\dfrac{0.4333-0.3}{\sqrt{0.3667\times0.6333\times(\frac{1}{300}+\frac{1}{300})}}\\\ \\\Rightarrow\dfrac{0.1333}{0.0395}=3.3877



Zcal=3.3877Z_{cal}=3.3877

If Zcal>Zα/2Z_{cal}>Z_{\alpha/2} we reject H0H_0


Here, Zcal>1.96Z_{cal}>1.96 we may reject H0H_0


Hence, There is significant difference in proportion of safety of men and women.


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