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He Following MINITAB Output Display Presents the Results of a Hypothesis

question 35

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he following MINITAB output display presents the results of a hypothesis test on the difference between two proportions.
Test and CI for Two Proportions: P1, P2
 Variable XN Sample P  P1 471090.431193 P2 40960.416667\begin{array} { l r r c } \text { Variable } & \mathrm { X } & \mathrm { N } & \text { Sample P } \\ \text { P1 } & 47 & 109 & 0.431193 \\ \text { P2 } & 40 & 96 & 0.416667 \end{array}
Difference =p(P1) =p(P2) = \mathrm { p } ( \mathrm { P } 1 ) = \mathrm { p } ( \mathrm { P } 2 )
Estimate for differencę.014526
95%95 \% CI for difference:(-0.121065, 0.150117)
T-Test of difference =0(= 0 ( vs not =) ̸=0.209977= \not ) = 0.209977 P-Value =0.833686= 0.833686 Is this a left-tailed test, a right-tailed test, or a two tailed test?


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