Using a 90 percent confidence interval for the difference between the proportions of failures in factory 1 and factory 2,where $\hat { p } _ { 1 }$
= .05, $\hat { p } _ { 2 }$
= .04,n₁ = 500,n₂ = 2000 of [-.0076,.0276],can we reject the null hypothesis at α = .10?

Question

Using a 90 percent confidence interval for the difference between the proportions of failures in factory 1 and factory 2,where

\hat { p } _ { 1 }

= .05,

\hat { p } _ { 2 }

= .04,n₁ = 500,n₂ = 2000 of [-.0076,.0276],can we reject the null hypothesis at α = .10?

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The Answer of Using a 90 percent confidence interval for the difference between the proportions of failures in factory 1 and factory 2,where $\hat { p } _ { 1 }$ = .05, $\hat { p } _ { 2 }$ = .04,n₁ = 500,n₂ = 2000 of [-.0076,.0276],can we reject the null hypothesis at α = .10?

Using a 90 Percent Confidence Interval for the Difference Between p^1\hat { p } _ { 1 }p^​1​

Using a 90 Percent Confidence Interval for the Difference Between $\hat { p } _ { 1 }$