For a one proportion z-test a z-score of 1.27 was calculated. Use the z-chart to determine the p-value and draw a conclusion about the null hypothesis. .00 .01 .02 .03 .04 .05 .06 .07 .08 .09 .5080 .5000 .5398 .5793 .6179 .5120 .5517 .5910 6293 .5160 .5557 .5948 .5199 .5596 .5239 .5279 .5040 .5438 5832 .5319 5714 .6103 .6480 .6844 7190 0.0 0.1 5359 5753 .5478 .5871 .5675 .6064 .6443 .5636 .6026 .6406 .6772 7123 .7454 .7764 .5987 0.2 0.3 0.4 0.5 0.6 .6217 .6591 .6950 .6141 .6517 .6879 7224 .6331 .6700 6368 .6736 .6255 .6554 .6915 .7257 .6628 .6664 .6808 7157 .6985 .7324 7019 .7357 7673 .7967 7054 7088 7422 .7734 .7486 7549 7852 7291 7389 7517 7794 .7823 .8106 7580 7611 7642 7704 0.7 0.8 .7995 .8264 .8508 8729 .8078 .8340 .7881 .8159 .8413 .8643 .8849 .8133 .8389 .8621 .8830 9015 .9177 .9319 .7910 .8023 .8289 .8051 8315 .7939 .8186 .8438 .8665 .8869 .9049 .8212 .8461 .8686 .8238 .8485 .8708 .8907 .9082 .8365 .8599 .8810 .8997 0.9 .8577 .8531 8749 .8944 .9115 1.0 .8554 .8790 .8980 .9147 .9292 1.1 .8770 .8925 .9099 9251 .8962 .9131 1.2 .8888 9066 .9222 .9162 9306 1.3 .9032 1.4 .9192 .9207 .9236 .9265 9279 p-value: [ Select ] Conclusion: [Select]

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2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.