Send output to:
Sample size 
Proportion 
Null hypothesis 
Type I error (alpha) 
R Code




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center


Testing Population Proportion (normal approximation)
Sample size1394
Sample Proportion0.005
Null hypothesis0.0068
Type I error (alpha)0.05
1-sided critical value0.00317949891717063
1-sided testDo not reject the Null Hypothesis
2-sided Confidence Interval
(sample proportion)
[ 0.000685906872160136 , 0.00931409312783986 ]
2-sided testDo not reject the Null Hypothesis


Testing Population Proportion (Agresti-Coull method)
Sample size1394
Sample Proportion0.005
Null hypothesis0.0068
Type I error (alpha)0.05
Left 1-sided confidence interval[ 0.00221782017748173 , 1 ]
Right 1-sided confidence interval[ 0 , 0.00969989829375057 ]
2-sided Confidence Interval
(sample proportion)
[ 0.00184398933839891 , 0.0108766655745664 ]


Testing Population Proportion (Exact and Wilson method)
Sample size1394
Sample Proportion0.005
Null hypothesis0.0068
Type I error (alpha)0.05
Left 1-sided confidence interval
(Exact method)
[ 0.00234430253273713 , 1 ]
Right 1-sided confidence interval
(Exact method)
[ 0 , 0.00938334528765678 ]
2-sided Confidence Interval
(Exact method)
[ 0.00200771647297315 , 0.0102897557509898 ]
Left 1-sided confidence interval
(Wilson method)
[ 0.00270979311994385 , 1 ]
Right 1-sided confidence interval
(Wilson method)
[ 0 , 0.00920792535128845 ]
2-sided Confidence Interval
(Wilson method)
[ 0.0024204710174001 , 0.0103001838955653 ]

Click here to blog (archive) this computation