Problem 1 - One sample hypothesis test for mean of normal distribution (known standard deviation) A...

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Problem 1 - One sample hypothesis test for mean of normal distribution (known standard deviation) A physical therapist wished to test the mean maximal strength of a particular muscle in a certain group. He is willing to assume that maximal strength scores are approximately normally distributed with a variance of 144. A sample of 15 subjects who participated in the experiment yielded a mean of 84.3. a) Do these data provide significant evidence, at 5% significance level, that the mean maximal strength is greater than 90? i. Write the null hypothesis (Ho) and alternative hypothesis (H1) of the test. Ho: = 90 vs. H:>90 (one-sided hypothesis test of the mean) ii. Determine the cut off for rejection region and the p-value and compare the conclusions. GIVEN: = 90; n = 15; x = 84.3; = = 144 = 12; = 0.05 known - therefore we calculate z-statistic for the hypothesis test of the mean. x-Ho 84.3-90 = -1.839667 z= 12 15 The cut off for rejection region for x> , or the critical value is Z0.05 = 1.645 Since -1.8397 <1.645, we fail to reject Ho P-value: P(Z > -1.84) = P(Z < 1.84) = 0.9671 Since 0.9671> 00.5, we fail to reject Ho. Conclusion: Therefore, the experimental mean maximal muscle strength is not significantly greater than 90 at the a=0.05 significance level (z = -1.84, p = 0.967). In R, you can get the p-value using R code: pnorm(1.839667) b) Do these data provide significant evidence, at 5% significance level, that the mean maximal strength is less than 90? i. Write the null hypothesis (Ho) and alternative hypothesis (H1) of the test. Ho: = 90 vs. H1: <90 (one-sided hypothesis test of the mean) ii. Determine the cut off for rejection region and the p-value and compare the conclusions. z= x-Ho 84.3-90 = -1.839667 12 15 The cut off for rejection region for x c) Do these data provide significant evidence, at 5% significance level, that the mean maximal strength is less than or greater than 90? i. Write the null hypothesis (Ho) and alternative hypothesis (H1) of the test. Ho: = 90 vs. H1:#90 (two-sided hypothesis test of the mean) ii. Determine the cut off for rejection region and the p-value and compare the conclusions. Ho 184.3 -90 12 15 = 1.839667 The cut off for rejection region for x , or the critical value is Z-@/2 = Z0.975 = 1.96 Since |-1.8397| = 1.8397 < 1.96, we fail to reject Ho. P-value = 2 * P(Z > |1.84]) = 2 * P(Z > 1.84) = 2 * 0.0329 = 0.0658 Since 0.0658 > 0.05, we fail to reject Ho Conclusion: Therefore, the experimental mean maximal muscle strength is not significantly different from 90 at the a=0.05 significance level. A(x)=(x) = P(X x) f(x)= (-1/2)x2 (a) 0 x C(x) = Pr(0 xx) f(x)= (-1/2)x 0 x f(x)= (-1/2) B(x)=1(x) = Pr(X>x) X D(x) = Pr(-x xx) 0 x -x 0 x (c) (d) f(x) = (-1/2)x2 x A Bb C Dd x A B C D 0.0 .5000 .5000 .0 .0 0.32 .6255 .3745 .1255 .2510 0.01 .5040 .4960 .0040 .0080 0.33 .6293 .3707 .1293 .2586 0.02 .5080 .4920 .0080 .0160 0.34 .6331 .3669 .1331 .2661 0.03 .5120 .4880 .0120 .0239 0.35 .6368 .3632 .1368 .2737 0.04 .5160 .4840 .0160 .0319 0.36 .6406 .3594 .1406 .2812 0.05 .5199 .4801 .0199 .0399 0.37 .6443 .3557 .1443 .2886 0.06 .5239 .4761 .0239 .0478 0.38 .6480 .3520 .1480 .2961 0.07 .5279 .4721 .0279 .0558 0.39 .6517 .3483 .1517 .3035 0.08 .5319 .4681 .0319 .0638 0.40 .6554 .3446 .1554 .3108 0.09 .5359 .4641 .0359 .0717 0.41 .6591 .3409 .1591 .3182 0.10 .5398 .4602 .0398 .0797 0.42 .6628 .3372 .1628 .3255 0.11 .5438 .4562 .0438 .0876 0.43 .6664 .3336 .1664 .3328 0.12 .5478 .4522 .0478 .0955 0.44 .6700 .3300 .1700 .3401 0.13 .5517 .4483 .0517 .1034 0.45 .6736 .3264 .1736 .3473 0.14 .5557 .4443 .0557 .1113 0.46 .6772 .3228 .1772 .3545 0.15 .5596 .4404 .0596 .1192 0.47 .6808 .3192 .1808 .3616 0.16 .5636 .4364 .0636 .1271 0.48 .6844 .3156 .1844 .3688 0.17 .5675 .4325 .0675 .1350 0.49 .6879 .3121 .1879 .3759 0.18 .5714 .4286 .0714 .1428 0.50 .6915 .3085 .1915 .3829 0.19 .5753 .4247 .0753 .1507 0.51 .6950 .3050 .1950 .3899 0.20 .5793 .4207 .0793 .1585 0.52 .6985 .3015 .1985 .3969 0.21 .5832 .4168 .0832 .1663 0.53 .7019 .2981 .2019 .4039 0.22 .5871 .4129 .0871 .1741 0.54 .7054 .2946 .2054 .4108 0.23 .5910 .4090 .0910 .1819 0.55 .7088 .2912 .2088 .4177 0.24 .5948 .4052 .0948 .1897 0.56 .7123 .2877 .2123 .4245 0.25 .5987 .4013 .0987 .1974 0.57 .7157 .2843 .2157 .4313 0.26 .6026 .3974 .1026 .2051 0.58 .7190 .2810 .2190 .4381 0.27 .6064 .3936 .1064 .2128 0.59 .7224 .2776 .2224 .4448 0.28 .6103 .3897 .1103 .2205 0.60 .7257 .2743 .2257 .4515 0.29 .6141 .3859 .1141 .2282 0.61 .7291 .2709 .2291 .4581 0.30 .6179 .3821 .1179 .2358 0.62 .7324 .2676 .2324 .4647 0.31 .6217 .3783 .1217 .2434 0.63 .7357 .2643 .2357 .4713 A Bb C Dd A B D 0.64 .7389 2611 .2389 .4778 1.23 .8907 .1093 .3907 .7813 0.65 .7422 .2578 .2422 .4843 1.24 .8925 .1075 .3925 .7850 0.66 .7454 .2546 .2454 .4907 1.25 .8944 .1056 .3944 .7887 0.67 .7486 .2514 .2486 .4971 1.26 .8962 .1038 .3962 .7923 0.68 .7517 .2483 .2517 .5035 1.27 .8980 .1020 .3980 .7959 0.69 .7549 .2451 .2549 .5098 1.28 .8997 .1003 .3997 .7995 0.70 .7580 .2420 .2580 .5161 1.29 .9015 .0985 .4015 .8029 0.71 .7611 .2389 .2611 .5223 1.30 .9032 .0968 .4032 .8064 0.72 .7642 .2358 .2642 .5285 1.31 .9049 .0951 .4049 .8098 0.73 .7673 .2327 .2673 .5346 1.32 .9066 .0934 .4066 .8132 0.74 .7703 .2297 .2703 .5407 1.33 .9082 .0918 .4082 .8165 0.75 .7734 .2266 .2734 .5467 1.34 .9099 .0901 .4099 .8198 0.76 .7764 .2236 .2764 .5527 1.35 .9115 .0885 .4115 .8230 0.77 .7793 .2207 .2793 .5587 1.36 .9131 .0869 .4131 .8262 0.78 .7823 .2177 .2823 .5646 1.37 .9147 .0853 .4147 .8293 0.79 .7852 .2148 .2852 .5705 1.38 .9162 .0838 .4162 .8324 0.80 .7881 .2119 .2881 .5763 1.39 .9177 .0823 .4177 .8355 0.81 .7910 .2090 .2910 .5821 1.40 .9192 .0808 .4192 .8385 0.82 .7939 .2061 .2939 .5878 1.41 .9207 .0793 .4207 .8415 0.83 .7967 .2033 .2967 .5935 1.42 .9222 .0778 .4222 .8444 0.84 .7995 .2005 .2995 .5991 1.43 .9236 .0764 .4236 .8473 0.85 .8023 .1977 .3023 .6047 1.44 .9251 .0749 .4251 .8501 0.86 .8051 .1949 .3051 .6102 1.45 .9265 .0735 .4265 .8529 0.87 .8078 .1922 .3078 .6157 1.46 .9279 .0721 .4279 .8557 0.88 .8106 .1894 .3106 .6211 1.47 .9292 .0708 .4292 .8584 0.89 .8133 .1867 .3133 .6265 1.48 .9306 .0694 .4306 .8611 0.90 .8159 .1841 .3159 .6319 1.49 .9319 .0681 .4319 .8638 0.91 .8186 .1814 .3186 .6372 1.50 .9332 .0668 .4332 .8664 0.92 .8212 .1788 .3212 .6424 1.51 .9345 .0655 .4345 .8690 0.93 .8238 .1762 .3238 .6476 1.52 .9357 .0643 .4357 .8715 0.94 .8264 .1736 .3264 .6528 1.53 .9370 .0630 .4370 .8740 0.95 .8289 .1711 .3289 .6579 1.54 .9382 .0618 .4382 .8764 0.96 .8315 .1685 .3315 .6629 1.55 .9394 .0606 .4394 .8789 0.97 .8340 .1660 .3340 .6680 1.56 .9406 .0594 .4406 .8812 0.98 .8365 .1635 .3365 .6729 1.57 .9418 .0582 .4418 .8836 0.99 .8389 .1611 .3389 .6778 1.58 .9429 .0571 .4429 .8859 1.00 .8413 .1587 .3413 .6827 1.59 .9441 .0559 .4441 .8882 1.01 .8438 .1562 .3438 .6875 1.60 .9452 .0548 .4452 .8904 1.02 .8461 .1539 .3461 .6923 1.61 .9463 .0537 .4463 .8926 1.03 .8485 .1515 .3485 .6970 1.62 .9474 .0526 .4474 .8948 1.04 .8508 .1492 .3508 .7017 1.63 .9484 .0516 .4484 .8969 1.05 .8531 .1469 .3531 .7063 1.64 .9495 .0505 .4495 .8990 1.06 .8554 .1446 .3554 .7109 1.65 .9505 .0495 .4505 .9011 1.07 .8577 .1423 .3577 .7154 1.66 .9515 .0485 .4515 .9031 1.08 .8599 .1401 .3599 .7199 1.67 .9525 .0475 .4525 .9051 1.09 .8621 .1379 .3621 .7243 1.68 .9535 .0465 .4535 .9070 1.10 .8643 .1357 .3643 .7287 1.69 .9545 .0455 .4545 .9090 1.11 .8665 .1335 .3665 .7330 1.70 .9554 .0446 .4554 .9109 1.12 .8686 .1314 .3686 .7373 1.71 .9564 .0436 .4564 .9127 1.13 .8708 .1292 .3708 .7415 1.72 .9573 .0427 .4573 .9146 1.14 .8729 .1271 .3729 .7457 1.73 .9582 .0418 .4582 .9164 1.15 .8749 .1251 .3749 .7499 1.74 .9591 .0409 .4591 .9181 1.16 .8770 .1230 .3770 .7540 1.75 .9599 .0401 .4599 .9199 1.17 .8790 .1210 .3790 .7580 1.76 .9608 .0392 .4608 .9216 1.18 .8810 .1190 .3810 .7620 1.77 .9616 .0384 .4616 .9233 1.19 .8830 .1170 .3830 .7660 1.78 .9625 .0375 .4625 .9249 1.20 .8849 .1151 3849 7699 1.79 9633 .0367 4633 9265 1.20 .8849 .1151 .3849 .7699 1.79 .9633 .0367 .4633 .9265 1.21 .8869 .1131 .3869 .7737 1.80 .9641 .0359 .4641 .9281 1.22 .8888 .1112 .3888 .7775 1.81 .9649 .0351 .4649 .9297 876 APPENDIX Tables TABLE 3 The normal distribution (continued) (continued on next name) x A Bb C Dd x A B C D 1.82 .9656 .0344 .4656 .9312 2.39 .9916 .0084 .4916 .9832 1.83 .9664 .0336 .4664 .9327 2.40 .9918 .0082 .4918 .9836 1.84 .9671 .0329 .4671 .9342 2.41 .9920 .0080 .4920 .9840 1.85 .9678 .0322 .4678 .9357 2.42 .9922 .0078 .4922 .9845 1.86 .9686 .0314 .4686 .9371 2.43 .9925 .0075 .4925 .9849 1.87 .9693 .0307 .4693 .9385 2.44 .9927 .0073 .4927 .9853 1.88 .9699 .0301 .4699 .9399 2.45 .9929 .0071 .4929 .9857 1.89 .9706 .0294 .4706 .9412 2.46 .9931 .0069 .4931 .9861 1.90 .9713 .0287 .4713 .9426 2.47 .9932 .0068 .4932 .9865 1.91 .9719 .0281 .4719 .9439 2.48 .9934 .0066 .4934 .9869 1.92 .9726 .0274 .4726 .9451 2.49 .9936 .0064 .4936 .9872 1.93 .9732 .0268 .4732 .9464 2.50 .9938 .0062 .4938 .9876 1.94 .9738 .0262 .4738 .9476 2.51 .9940 .0060 .4940 .9879 1.95 .9744 .0256 .4744 .9488 2.52 .9941 .0059 .4941 .9883 1.96 .9750 .0250 .4750 .9500 2.53 .9943 .0057 .4943 .9886 1.97 .9756 .0244 .4756 .9512 2.54 .9945 .0055 .4945 .9889 1.98 .9761 .0239 .4761 .9523 2.55 .9946 .0054 .4946 .9892 1.99 .9767 .0233 .4767 .9534 2.56 .9948 .0052 .4948 .9895 2.00 .9772 .0228 .4772 .9545 2.57 .9949 .0051 .4949 .9898 2.01 .9778 .0222 .4778 .9556 2.58 .9951 .0049 .4951 .9901 2.02 .9783 .0217 .4783 .9566 2.59 .9952 .0048 .4952 .9904 2.03 .9788 .0212 .4788 .9576 2.60 .9953 .0047 .4953 .9907 2.04 .9793 .0207 .4793 .9586 2.61 .9955 .0045 .4955 .9909 2.05 .9798 .0202 .4798 .9596 2.62 .9956 .0044 .4956 .9912 2.06 .9803 .0197 .4803 .9606 2.63 .9957 .0043 .4957 .9915 2.07 .9808 .0192 .4808 .9615 2.64 .9959 .0041 .4959 .9917 2.08 .9812 .0188 .4812 .9625 2.65 .9960 .0040 .4960 .9920 2.09 .9817 .0183 .4817 .9634 2.66 .9961 .0039 .4961 .9922 2.10 .9821 .0179 .4821 .9643 2.67 .9962 .0038 .4962 .9924 2.11 .9826 .0174 .4826 .9651 2.68 .9963 .0037 .4963 .9926 2.12 .9830 .0170 .4830 .9660 2.69 .9964 .0036 .4964 .9929 2.13 .9834 .0166 .4834 .9668 2.70 .9965 .0035 .4965 .9931 2.14 .9838 .0162 .4838 .9676 2.71 .9966 .0034 .4966 .9933 2.15 .9842 .0158 .4842 .9684 2.72 .9967 .0033 .4967 .9935 2.16 .9846 .0154 .4846 .9692 2.73 .9968 .0032 .4968 .9937 2.17 .9850 .0150 .4850 .9700 2.74 .9969 .0031 .4969 .9939 2.18 .9854 .0146 .4854 .9707 2.75 .9970 .0030 .4970 .9940 2.19 .9857 .0143 .4857 .9715 2.76 .9971 .0029 .4971 .9942 2.20 .9861 .0139 .4861 .9722 2.77 .9972 .0028 .4972 .9944 2.19 .9857 .0143 .4857 .9715 2.76 .9971 .0029 .4971 .9942 2.20 .9861 .0139 .4861 .9722 2.77 .9972 .0028 .4972 .9944 2.21 .9864 .0136 .4864 .9729 2.78 .9973 .0027 .4973 .9946 2.22 .9868 .0132 .4868 .9736 2.79 .9974 .0026 .4974 .9947 2.23 .9871 .0129 .4871 .9743 2.80 .9974 .0026 .4974 .9949 2.24 .9875 .0125 .4875 .9749 2.81 .9975 .0025 .4975 .9950 2.25 .9878 .0122 .4878 .9756 2.82 .9976 .0024 .4976 .9952 2.26 .9881 .0119 .4881 .9762 2.83 .9977 .0023 .4977 .9953 2.27 .9884 .0116 .4884 .9768 2.84 .9977 .0023 .4977 .9955 2.28 .9887 .0113 .4887 .9774 2.85 .9978 .0022 .4978 .9956 2.29 .9890 .0110 .4890 .9780 2.86 .9979 .0021 .4979 .9958 2.30 .9893 .0107 .4893 .9786 2.87 .9979 .0021 .4979 .9959 2.31 .9896 .0104 .4896 .9791 2.88 .9980 .0020 .4980 .9960 2.32 .9898 .0102 .4898 .9797 2.89 .9981 .0019 .4981 .9961 2.33 .9901 .0099 .4901 .9802 2.90 .9981 .0019 .4981 .9963 2.34 .9904 .0096 .4904 .9807 2.91 .9982 .0018 .4982 .9964 2.35 .9906 .0094 .4906 .9812 2.92 .9982 .0018 .4982 .9965 2.36 .9909 .0091 .4909 .9817 2.93 .9983 .0017 .4983 .9966 2.37 .9911 .0089 .4911 .9822 2.94 .9984 .0016 .4984 .9967 2.38 .9913 .0087 .4913 .9827 2.95 .9984 .0016 .4984 .9968 Problem 1 - One sample hypothesis test for mean of normal distribution (known standard deviation) A physical therapist wished to test the mean maximal strength of a particular muscle in a certain group. He is willing to assume that maximal strength scores are approximately normally distributed with a variance of 144. A sample of 15 subjects who participated in the experiment yielded a mean of 84.3. a) Do these data provide significant evidence, at 5% significance level, that the mean maximal strength is greater than 90? i. Write the null hypothesis (Ho) and alternative hypothesis (H1) of the test. Ho: = 90 vs. H:>90 (one-sided hypothesis test of the mean) ii. Determine the cut off for rejection region and the p-value and compare the conclusions. GIVEN: = 90; n = 15; x = 84.3; = = 144 = 12; = 0.05 known - therefore we calculate z-statistic for the hypothesis test of the mean. x-Ho 84.3-90 = -1.839667 z= 12 15 The cut off for rejection region for x> , or the critical value is Z0.05 = 1.645 Since -1.8397 <1.645, we fail to reject Ho P-value: P(Z > -1.84) = P(Z < 1.84) = 0.9671 Since 0.9671> 00.5, we fail to reject Ho. Conclusion: Therefore, the experimental mean maximal muscle strength is not significantly greater than 90 at the a=0.05 significance level (z = -1.84, p = 0.967). In R, you can get the p-value using R code: pnorm(1.839667) b) Do these data provide significant evidence, at 5% significance level, that the mean maximal strength is less than 90? i. Write the null hypothesis (Ho) and alternative hypothesis (H1) of the test. Ho: = 90 vs. H1: <90 (one-sided hypothesis test of the mean) ii. Determine the cut off for rejection region and the p-value and compare the conclusions. z= x-Ho 84.3-90 = -1.839667 12 15 The cut off for rejection region for x c) Do these data provide significant evidence, at 5% significance level, that the mean maximal strength is less than or greater than 90? i. Write the null hypothesis (Ho) and alternative hypothesis (H1) of the test. Ho: = 90 vs. H1:#90 (two-sided hypothesis test of the mean) ii. Determine the cut off for rejection region and the p-value and compare the conclusions. Ho 184.3 -90 12 15 = 1.839667 The cut off for rejection region for x , or the critical value is Z-@/2 = Z0.975 = 1.96 Since |-1.8397| = 1.8397 < 1.96, we fail to reject Ho. P-value = 2 * P(Z > |1.84]) = 2 * P(Z > 1.84) = 2 * 0.0329 = 0.0658 Since 0.0658 > 0.05, we fail to reject Ho Conclusion: Therefore, the experimental mean maximal muscle strength is not significantly different from 90 at the a=0.05 significance level. A(x)=(x) = P(X x) f(x)= (-1/2)x2 (a) 0 x C(x) = Pr(0 xx) f(x)= (-1/2)x 0 x f(x)= (-1/2) B(x)=1(x) = Pr(X>x) X D(x) = Pr(-x xx) 0 x -x 0 x (c) (d) f(x) = (-1/2)x2 x A Bb C Dd x A B C D 0.0 .5000 .5000 .0 .0 0.32 .6255 .3745 .1255 .2510 0.01 .5040 .4960 .0040 .0080 0.33 .6293 .3707 .1293 .2586 0.02 .5080 .4920 .0080 .0160 0.34 .6331 .3669 .1331 .2661 0.03 .5120 .4880 .0120 .0239 0.35 .6368 .3632 .1368 .2737 0.04 .5160 .4840 .0160 .0319 0.36 .6406 .3594 .1406 .2812 0.05 .5199 .4801 .0199 .0399 0.37 .6443 .3557 .1443 .2886 0.06 .5239 .4761 .0239 .0478 0.38 .6480 .3520 .1480 .2961 0.07 .5279 .4721 .0279 .0558 0.39 .6517 .3483 .1517 .3035 0.08 .5319 .4681 .0319 .0638 0.40 .6554 .3446 .1554 .3108 0.09 .5359 .4641 .0359 .0717 0.41 .6591 .3409 .1591 .3182 0.10 .5398 .4602 .0398 .0797 0.42 .6628 .3372 .1628 .3255 0.11 .5438 .4562 .0438 .0876 0.43 .6664 .3336 .1664 .3328 0.12 .5478 .4522 .0478 .0955 0.44 .6700 .3300 .1700 .3401 0.13 .5517 .4483 .0517 .1034 0.45 .6736 .3264 .1736 .3473 0.14 .5557 .4443 .0557 .1113 0.46 .6772 .3228 .1772 .3545 0.15 .5596 .4404 .0596 .1192 0.47 .6808 .3192 .1808 .3616 0.16 .5636 .4364 .0636 .1271 0.48 .6844 .3156 .1844 .3688 0.17 .5675 .4325 .0675 .1350 0.49 .6879 .3121 .1879 .3759 0.18 .5714 .4286 .0714 .1428 0.50 .6915 .3085 .1915 .3829 0.19 .5753 .4247 .0753 .1507 0.51 .6950 .3050 .1950 .3899 0.20 .5793 .4207 .0793 .1585 0.52 .6985 .3015 .1985 .3969 0.21 .5832 .4168 .0832 .1663 0.53 .7019 .2981 .2019 .4039 0.22 .5871 .4129 .0871 .1741 0.54 .7054 .2946 .2054 .4108 0.23 .5910 .4090 .0910 .1819 0.55 .7088 .2912 .2088 .4177 0.24 .5948 .4052 .0948 .1897 0.56 .7123 .2877 .2123 .4245 0.25 .5987 .4013 .0987 .1974 0.57 .7157 .2843 .2157 .4313 0.26 .6026 .3974 .1026 .2051 0.58 .7190 .2810 .2190 .4381 0.27 .6064 .3936 .1064 .2128 0.59 .7224 .2776 .2224 .4448 0.28 .6103 .3897 .1103 .2205 0.60 .7257 .2743 .2257 .4515 0.29 .6141 .3859 .1141 .2282 0.61 .7291 .2709 .2291 .4581 0.30 .6179 .3821 .1179 .2358 0.62 .7324 .2676 .2324 .4647 0.31 .6217 .3783 .1217 .2434 0.63 .7357 .2643 .2357 .4713 A Bb C Dd A B D 0.64 .7389 2611 .2389 .4778 1.23 .8907 .1093 .3907 .7813 0.65 .7422 .2578 .2422 .4843 1.24 .8925 .1075 .3925 .7850 0.66 .7454 .2546 .2454 .4907 1.25 .8944 .1056 .3944 .7887 0.67 .7486 .2514 .2486 .4971 1.26 .8962 .1038 .3962 .7923 0.68 .7517 .2483 .2517 .5035 1.27 .8980 .1020 .3980 .7959 0.69 .7549 .2451 .2549 .5098 1.28 .8997 .1003 .3997 .7995 0.70 .7580 .2420 .2580 .5161 1.29 .9015 .0985 .4015 .8029 0.71 .7611 .2389 .2611 .5223 1.30 .9032 .0968 .4032 .8064 0.72 .7642 .2358 .2642 .5285 1.31 .9049 .0951 .4049 .8098 0.73 .7673 .2327 .2673 .5346 1.32 .9066 .0934 .4066 .8132 0.74 .7703 .2297 .2703 .5407 1.33 .9082 .0918 .4082 .8165 0.75 .7734 .2266 .2734 .5467 1.34 .9099 .0901 .4099 .8198 0.76 .7764 .2236 .2764 .5527 1.35 .9115 .0885 .4115 .8230 0.77 .7793 .2207 .2793 .5587 1.36 .9131 .0869 .4131 .8262 0.78 .7823 .2177 .2823 .5646 1.37 .9147 .0853 .4147 .8293 0.79 .7852 .2148 .2852 .5705 1.38 .9162 .0838 .4162 .8324 0.80 .7881 .2119 .2881 .5763 1.39 .9177 .0823 .4177 .8355 0.81 .7910 .2090 .2910 .5821 1.40 .9192 .0808 .4192 .8385 0.82 .7939 .2061 .2939 .5878 1.41 .9207 .0793 .4207 .8415 0.83 .7967 .2033 .2967 .5935 1.42 .9222 .0778 .4222 .8444 0.84 .7995 .2005 .2995 .5991 1.43 .9236 .0764 .4236 .8473 0.85 .8023 .1977 .3023 .6047 1.44 .9251 .0749 .4251 .8501 0.86 .8051 .1949 .3051 .6102 1.45 .9265 .0735 .4265 .8529 0.87 .8078 .1922 .3078 .6157 1.46 .9279 .0721 .4279 .8557 0.88 .8106 .1894 .3106 .6211 1.47 .9292 .0708 .4292 .8584 0.89 .8133 .1867 .3133 .6265 1.48 .9306 .0694 .4306 .8611 0.90 .8159 .1841 .3159 .6319 1.49 .9319 .0681 .4319 .8638 0.91 .8186 .1814 .3186 .6372 1.50 .9332 .0668 .4332 .8664 0.92 .8212 .1788 .3212 .6424 1.51 .9345 .0655 .4345 .8690 0.93 .8238 .1762 .3238 .6476 1.52 .9357 .0643 .4357 .8715 0.94 .8264 .1736 .3264 .6528 1.53 .9370 .0630 .4370 .8740 0.95 .8289 .1711 .3289 .6579 1.54 .9382 .0618 .4382 .8764 0.96 .8315 .1685 .3315 .6629 1.55 .9394 .0606 .4394 .8789 0.97 .8340 .1660 .3340 .6680 1.56 .9406 .0594 .4406 .8812 0.98 .8365 .1635 .3365 .6729 1.57 .9418 .0582 .4418 .8836 0.99 .8389 .1611 .3389 .6778 1.58 .9429 .0571 .4429 .8859 1.00 .8413 .1587 .3413 .6827 1.59 .9441 .0559 .4441 .8882 1.01 .8438 .1562 .3438 .6875 1.60 .9452 .0548 .4452 .8904 1.02 .8461 .1539 .3461 .6923 1.61 .9463 .0537 .4463 .8926 1.03 .8485 .1515 .3485 .6970 1.62 .9474 .0526 .4474 .8948 1.04 .8508 .1492 .3508 .7017 1.63 .9484 .0516 .4484 .8969 1.05 .8531 .1469 .3531 .7063 1.64 .9495 .0505 .4495 .8990 1.06 .8554 .1446 .3554 .7109 1.65 .9505 .0495 .4505 .9011 1.07 .8577 .1423 .3577 .7154 1.66 .9515 .0485 .4515 .9031 1.08 .8599 .1401 .3599 .7199 1.67 .9525 .0475 .4525 .9051 1.09 .8621 .1379 .3621 .7243 1.68 .9535 .0465 .4535 .9070 1.10 .8643 .1357 .3643 .7287 1.69 .9545 .0455 .4545 .9090 1.11 .8665 .1335 .3665 .7330 1.70 .9554 .0446 .4554 .9109 1.12 .8686 .1314 .3686 .7373 1.71 .9564 .0436 .4564 .9127 1.13 .8708 .1292 .3708 .7415 1.72 .9573 .0427 .4573 .9146 1.14 .8729 .1271 .3729 .7457 1.73 .9582 .0418 .4582 .9164 1.15 .8749 .1251 .3749 .7499 1.74 .9591 .0409 .4591 .9181 1.16 .8770 .1230 .3770 .7540 1.75 .9599 .0401 .4599 .9199 1.17 .8790 .1210 .3790 .7580 1.76 .9608 .0392 .4608 .9216 1.18 .8810 .1190 .3810 .7620 1.77 .9616 .0384 .4616 .9233 1.19 .8830 .1170 .3830 .7660 1.78 .9625 .0375 .4625 .9249 1.20 .8849 .1151 3849 7699 1.79 9633 .0367 4633 9265 1.20 .8849 .1151 .3849 .7699 1.79 .9633 .0367 .4633 .9265 1.21 .8869 .1131 .3869 .7737 1.80 .9641 .0359 .4641 .9281 1.22 .8888 .1112 .3888 .7775 1.81 .9649 .0351 .4649 .9297 876 APPENDIX Tables TABLE 3 The normal distribution (continued) (continued on next name) x A Bb C Dd x A B C D 1.82 .9656 .0344 .4656 .9312 2.39 .9916 .0084 .4916 .9832 1.83 .9664 .0336 .4664 .9327 2.40 .9918 .0082 .4918 .9836 1.84 .9671 .0329 .4671 .9342 2.41 .9920 .0080 .4920 .9840 1.85 .9678 .0322 .4678 .9357 2.42 .9922 .0078 .4922 .9845 1.86 .9686 .0314 .4686 .9371 2.43 .9925 .0075 .4925 .9849 1.87 .9693 .0307 .4693 .9385 2.44 .9927 .0073 .4927 .9853 1.88 .9699 .0301 .4699 .9399 2.45 .9929 .0071 .4929 .9857 1.89 .9706 .0294 .4706 .9412 2.46 .9931 .0069 .4931 .9861 1.90 .9713 .0287 .4713 .9426 2.47 .9932 .0068 .4932 .9865 1.91 .9719 .0281 .4719 .9439 2.48 .9934 .0066 .4934 .9869 1.92 .9726 .0274 .4726 .9451 2.49 .9936 .0064 .4936 .9872 1.93 .9732 .0268 .4732 .9464 2.50 .9938 .0062 .4938 .9876 1.94 .9738 .0262 .4738 .9476 2.51 .9940 .0060 .4940 .9879 1.95 .9744 .0256 .4744 .9488 2.52 .9941 .0059 .4941 .9883 1.96 .9750 .0250 .4750 .9500 2.53 .9943 .0057 .4943 .9886 1.97 .9756 .0244 .4756 .9512 2.54 .9945 .0055 .4945 .9889 1.98 .9761 .0239 .4761 .9523 2.55 .9946 .0054 .4946 .9892 1.99 .9767 .0233 .4767 .9534 2.56 .9948 .0052 .4948 .9895 2.00 .9772 .0228 .4772 .9545 2.57 .9949 .0051 .4949 .9898 2.01 .9778 .0222 .4778 .9556 2.58 .9951 .0049 .4951 .9901 2.02 .9783 .0217 .4783 .9566 2.59 .9952 .0048 .4952 .9904 2.03 .9788 .0212 .4788 .9576 2.60 .9953 .0047 .4953 .9907 2.04 .9793 .0207 .4793 .9586 2.61 .9955 .0045 .4955 .9909 2.05 .9798 .0202 .4798 .9596 2.62 .9956 .0044 .4956 .9912 2.06 .9803 .0197 .4803 .9606 2.63 .9957 .0043 .4957 .9915 2.07 .9808 .0192 .4808 .9615 2.64 .9959 .0041 .4959 .9917 2.08 .9812 .0188 .4812 .9625 2.65 .9960 .0040 .4960 .9920 2.09 .9817 .0183 .4817 .9634 2.66 .9961 .0039 .4961 .9922 2.10 .9821 .0179 .4821 .9643 2.67 .9962 .0038 .4962 .9924 2.11 .9826 .0174 .4826 .9651 2.68 .9963 .0037 .4963 .9926 2.12 .9830 .0170 .4830 .9660 2.69 .9964 .0036 .4964 .9929 2.13 .9834 .0166 .4834 .9668 2.70 .9965 .0035 .4965 .9931 2.14 .9838 .0162 .4838 .9676 2.71 .9966 .0034 .4966 .9933 2.15 .9842 .0158 .4842 .9684 2.72 .9967 .0033 .4967 .9935 2.16 .9846 .0154 .4846 .9692 2.73 .9968 .0032 .4968 .9937 2.17 .9850 .0150 .4850 .9700 2.74 .9969 .0031 .4969 .9939 2.18 .9854 .0146 .4854 .9707 2.75 .9970 .0030 .4970 .9940 2.19 .9857 .0143 .4857 .9715 2.76 .9971 .0029 .4971 .9942 2.20 .9861 .0139 .4861 .9722 2.77 .9972 .0028 .4972 .9944 2.19 .9857 .0143 .4857 .9715 2.76 .9971 .0029 .4971 .9942 2.20 .9861 .0139 .4861 .9722 2.77 .9972 .0028 .4972 .9944 2.21 .9864 .0136 .4864 .9729 2.78 .9973 .0027 .4973 .9946 2.22 .9868 .0132 .4868 .9736 2.79 .9974 .0026 .4974 .9947 2.23 .9871 .0129 .4871 .9743 2.80 .9974 .0026 .4974 .9949 2.24 .9875 .0125 .4875 .9749 2.81 .9975 .0025 .4975 .9950 2.25 .9878 .0122 .4878 .9756 2.82 .9976 .0024 .4976 .9952 2.26 .9881 .0119 .4881 .9762 2.83 .9977 .0023 .4977 .9953 2.27 .9884 .0116 .4884 .9768 2.84 .9977 .0023 .4977 .9955 2.28 .9887 .0113 .4887 .9774 2.85 .9978 .0022 .4978 .9956 2.29 .9890 .0110 .4890 .9780 2.86 .9979 .0021 .4979 .9958 2.30 .9893 .0107 .4893 .9786 2.87 .9979 .0021 .4979 .9959 2.31 .9896 .0104 .4896 .9791 2.88 .9980 .0020 .4980 .9960 2.32 .9898 .0102 .4898 .9797 2.89 .9981 .0019 .4981 .9961 2.33 .9901 .0099 .4901 .9802 2.90 .9981 .0019 .4981 .9963 2.34 .9904 .0096 .4904 .9807 2.91 .9982 .0018 .4982 .9964 2.35 .9906 .0094 .4906 .9812 2.92 .9982 .0018 .4982 .9965 2.36 .9909 .0091 .4909 .9817 2.93 .9983 .0017 .4983 .9966 2.37 .9911 .0089 .4911 .9822 2.94 .9984 .0016 .4984 .9967 2.38 .9913 .0087 .4913 .9827 2.95 .9984 .0016 .4984 .9968