Question

Consider the hypothesis statement shown below using a = 0.10 and the data to the right from two independent samples. HO: H1 -Cumulative Probabilities for the Standard Normal Distribution (page 1) Cumulative probability Table entries represent the shaCumulative Probabilities for the Standard Normal Distribution (page 2) Cumulative Table entries probability represent the sha

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Answer #1

Part a)

Test Statistic :-
Z = ( \bar{X}_{1} - \bar{X}_{2}) / \sqrt{(\sigma _{1}^{2} / n1) + (\sigma _{2}^{2}/n2)}
Z = ( 114 - 127 ) / \sqrt{( 36^{2} /50 ) + ( 40^{2}/35 )}
Z = -1.54

Reject null hypothesis if Z < -Z(α)
Critical value Z(α) = Z( 0.1 ) = 1.28

Z < - 1.28

Test Criteria :-
Reject null hypothesis if Z < -Z(α)
Critical value Z(α) = Z( 0.1 ) = 1.28
Z < -Z(α) = -1.54 < -1.28
Result :- Reject Null Hypothesis

Test statistic lies in the rejection region, reject H0, there is sufficient evidence to support the claim.

Part b)

P value = P ( Z < 1.54 ) = 0.062

Reject null hypothesis if P value < α = 0.10 level of significance
Since 0.062 < 0.10, hence we reject null hypothesis
Result :- Reject null hypothesis

P value is less than α, reject H0, there is sufficient evidence to support the claim.


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