X Standard normal distribution table (page 2) Standard Normal (z) Distribution: Cumulative Area from the LEFT 2 .00 .01 .02 03 .04 .05 06 .07 08 .09 0.0 .5000 .5040 .5080 .5120 .5160 .5199 .5239 .5279 .5319 5359 0.1 .5398 .5438 .5478 .5517 .5557 5596 .5636 .5675 .5714 5753 0.2 5793 .5832 .5871 .5910 .5948 5987 .6026 .6064 6103 6141 0.3 6179 .6217 .6255 .6293 .6331 6368 .6406 .6443 .6480 6517 0.4 6554 .6591 .6628 .6664 6700 6736 .6772 .6808 6844 6879 0.5 .6915 .6950 .6985 .7019 .7054 .7088 .7123 .7157 .7190 .7224 0.6 .7257 .7291 .7324 7357 .7389 .7422 7454 .7486 .7517 .7549 0.7 .7580 .7611 .7642 .7673 .7704 .7734 .7764 .7794 .7823 .7852 0.8 .7881 .7910 7939 .7967 .7995 8023 8051 .8078 8106 8133 0.9 .8159 .8186 8212 .8238 .8264 8289 8315 .8340 .8365 8389 1.0 .8413 .8438 8461 .8485 .8508 8531 8554 .8577 8599 8621 1.1 .8643 .8665 .8686 .8708 .8729 8749 8770 .8790 .8810 8830 1.2 .8849 .8869 8888 8907 .8925 8944 .8962 .8980 .8997 .9015 1.3 .9032 .9049 9066 .9082 .9099 9115 9131 .9147 .9162 9177 1.4 .9192 .9207 .9222 .9236 .9251 9265 9279 .9292 .9306 .9319 1.5 .9332 .9345 9357 9370 .9382 9394 9406 .9418 .9429 .9441 1.6 .9452 .9463 .9474 .9484 .9495 .9505 .9515 .9525 9535 .9545 1.7 .9554 9564 .9573 .9582 9591 9599 9608 9616 9625 9633 1.8 .9641 .9649 9656 9664 .9671 .9678 .9686 .9693 9699 9706 1.9 .9713 .9719 9726 .9732 9738 9744 9750 .9756 .9761 9767 2.0 .9772 .9778 .9783 .9788 .9793 9798 9803 .9808 .9812 9817 2.1 .9821 .9826 .9830 .9834 .9838 .9842 9846 .9850 .9854 .9857\fand a standard deviation 0127.1 lb. Click here to View page 1 of the standard normal disln'butlon. erranmmmza llm' . u I'lEililiTl'lil'Il_ An engineer is going to redesign an ejection seal for an airplane. The seat was designed for pilots weighing between 120 lb and 151 lb. The new population of pilots has normally distributed weights wllh a mean of 129 lb a. It a pilot is randomly selected, nd the probability that his weight is between 120 lb and 151 lb. The probability is approximately . (Round to four decimal places as needed.)