statistics quiz
Do one of the following as appropriate. A) find the critical valve z a/2. B)find the critical valve t a/2, c) state neithier the normal nor that distribution applies. Confidence level 99%; n=28 ;σ is known; population appears to be very skewed
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t distribution: Critical t values |
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Area in One Tail |
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0.005 |
0.01 |
0.025 |
0.05 |
0.10 |
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Degrees of Freedom |
Area in Two Tails |
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0.01 |
0.02 |
0.05 |
0.10 |
0.20 |
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1 |
63.657 |
31.821 |
12.706 |
6.314 |
3.078 |
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2 |
9.925 |
6.965 |
4.303 |
2.920 |
1.886 |
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3 |
5.841 |
4.541 |
3.182 |
2.353 |
1.638 |
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4 |
4.604 |
3.747 |
2.776 |
2.132 |
1.533 |
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5 |
4.032 |
3.365 |
2.571 |
2.015 |
1.476 |
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6 |
3.707 |
3.143 |
2.447 |
1.943 |
1.440 |
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7 |
3.499 |
2.998 |
2.365 |
1.895 |
1.415 |
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8 |
3.355 |
2.896 |
2.306 |
1.860 |
1.397 |
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9 |
3.250 |
2.821 |
2.262 |
1.833 |
1.383 |
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10 |
3.169 |
2.764 |
2.228 |
1.812 |
1.372 |
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11 |
3.106 |
2.718 |
2.201 |
1.796 |
1.363 |
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12 |
3.055 |
2.681 |
2.179 |
1.782 |
1.356 |
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13 |
3.012 |
2.650 |
2.160 |
1.771 |
1.350 |
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14 |
2.977 |
2.624 |
2.145 |
1.761 |
1.345 |
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15 |
2.947 |
2.602 |
2.131 |
1.753 |
1.341 |
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16 |
2.921 |
2.583 |
2.120 |
1.746 |
1.337 |
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17 |
2.898 |
2.567 |
2.110 |
1.740 |
1.333 |
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18 |
2.878 |
2.552 |
2.101 |
1.734 |
1.330 |
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19 |
2.861 |
2.539 |
2.093 |
1.729 |
1.328 |
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20 |
2.845 |
2.528 |
2.086 |
1.725 |
1.325 |
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21 |
2.831 |
2.518 |
2.080 |
1.721 |
1.323 |
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22 |
2.819 |
2.508 |
2.074 |
1.717 |
1.321 |
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23 |
2.807 |
2.500 |
2.069 |
1.714 |
1.319 |
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24 |
2.797 |
2.492 |
2.064 |
1.711 |
1.318 |
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25 |
2.787 |
2.485 |
2.060 |
1.708 |
1.316 |
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26 |
2.779 |
2.479 |
2.056 |
1.706 |
1.315 |
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27 |
2.771 |
2.473 |
2.052 |
1.703 |
1.314 |
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28 |
2.763 |
2.467 |
2.048 |
1.701 |
1.313 |
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29 |
2.756 |
2.462 |
2.045 |
1.699 |
1.311 |
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30 |
2.750 |
2.457 |
2.042 |
1.697 |
1.310 |
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31 |
2.744 |
2.453 |
2.040 |
1.696 |
1.309 |
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32 |
2.738 |
2.449 |
2.037 |
1.694 |
1.309 |
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33 |
2.733 |
2.445 |
2.035 |
1.692 |
1.308 |
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34 |
2.728 |
2.441 |
2.032 |
1.691 |
1.307 |
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35 |
2.724 |
2.438 |
2.030 |
1.690 |
1.306 |
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36 |
2.719 |
2.434 |
2.028 |
1.688 |
1.306 |
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37 |
2.715 |
2.431 |
2.026 |
1.687 |
1.305 |
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38 |
2.712 |
2.429 |
2.024 |
1.686 |
1.304 |
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39 |
2.708 |
2.426 |
2.023 |
1.685 |
1.304 |
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40 |
2.704 |
2.423 |
2.021 |
1.684 |
1.303 |
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45 |
2.690 |
2.412 |
2.014 |
1.679 |
1.301 |
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50 |
2.678 |
2.403 |
2.009 |
1.676 |
1.299 |
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60 |
2.660 |
2.390 |
2.000 |
1.671 |
1.296 |
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70 |
2.648 |
2.381 |
1.994 |
1.667 |
1.294 |
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80 |
2.639 |
2.374 |
1.990 |
1.664 |
1.292 |
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90 |
2.632 |
2.368 |
1.987 |
1.662 |
1.291 |
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100 |
2.626 |
2.364 |
1.984 |
1.660 |
1.290 |
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200 |
2.601 |
2.345 |
1.972 |
1.653 |
1.286 |
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300 |
2.592 |
2.339 |
1.968 |
1.650 |
1.284 |
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400 |
2.588 |
2.336 |
1.966 |
1.649 |
1.284 |
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500 |
2.586 |
2.334 |
1.965 |
1.648 |
1.283 |
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1000 |
2.581 |
2.330 |
1.962 |
1.646 |
1.282 |
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2000 |
2.578 |
2.328 |
1.961 |
1.646 |
1.282 |
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Large |
2.576 |
2.326 |
1.960 |
1.645 |
1.282 |
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Degrees of Freedom |
Area in One Tail |
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0.005 |
0.01 |
0.03 |
0.05 |
0.10 |
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Area in Two Tails |
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0.01 |
0.02 |
0.05 |
0.10 |
0.20 |
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Negative z Scores |
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Standard Normal (z) Distribution: Cumulative Area from the Left |
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z |
.00 |
.01 |
.02 |
.03 |
.04 |
.05 |
.06 |
.07 |
.08 |
.09 |
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negative 3.50 and lower |
.0001 |
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-3.4 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0002 |
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-3.3 |
.0005 |
.0005 |
.0005 |
.0004 |
.0004 |
.0004 |
.0004 |
.0004 |
.0004 |
.0003 |
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-3.2 |
.0007 |
.0007 |
.0006 |
.0006 |
.0006 |
.0006 |
.0006 |
.0005 |
.0005 |
.0005 |
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-3.1 |
.0010 |
.0009 |
.0009 |
.0009 |
.0008 |
.0008 |
.0008 |
.0008 |
.0007 |
.0007 |
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-3.0 |
.0013 |
.0013 |
.0013 |
.0012 |
.0012 |
.0011 |
.0011 |
.0011 |
.0010 |
.0010 |
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-2.9 |
.0019 |
.0018 |
.0018 |
.0017 |
.0016 |
.0016 |
.0015 |
.0015 |
.0014 |
.0014 |
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-2.8 |
.0026 |
.0025 |
.0024 |
.0023 |
.0023 |
.0022 |
.0021 |
.0021 |
.0020 |
.0019 |
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-2.7 |
.0035 |
.0034 |
.0033 |
.0032 |
.0031 |
.0030 |
.0029 |
.0028 |
.0027 |
.0026 |
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-2.6 |
.0047 |
.0045 |
.0044 |
.0043 |
.0041 |
.0040 |
.0039 |
.0038 |
.0037 |
.0036 |
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-2.5 |
.0062 |
.0060 |
.0059 |
.0057 |
.0055 |
.0054 |
.0052 |
.0051 |
.0049 |
.0048 |
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-2.4 |
.0082 |
.0080 |
.0078 |
.0075 |
.0073 |
.0071 |
.0069 |
.0068 |
.0066 |
.0064 |
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-2.3 |
.0107 |
.0104 |
.0102 |
.0099 |
.0096 |
.0094 |
.0091 |
.0089 |
.0087 |
.0084 |
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-2.2 |
.0139 |
.0136 |
.0132 |
.0129 |
.0125 |
.0122 |
.0119 |
.0116 |
.0113 |
.0110 |
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-2.1 |
.0179 |
.0174 |
.0170 |
.0166 |
.0162 |
.0158 |
.0154 |
.0150 |
.0146 |
.0143 |
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-2.0 |
.0228 |
.0222 |
.0217 |
.0212 |
.0207 |
.0202 |
.0197 |
.0192 |
.0188 |
.0183 |
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-1.9 |
.0287 |
.0281 |
.0274 |
.0268 |
.0262 |
.0256 |
.0250 |
.0244 |
.0239 |
.0233 |
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-1.8 |
.0359 |
.0351 |
.0344 |
.0336 |
.0329 |
.0322 |
.0314 |
.0307 |
.0301 |
.0294 |
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-1.7 |
.0446 |
.0436 |
.0427 |
.0418 |
.0409 |
.0401 |
.0392 |
.0384 |
.0375 |
.0367 |
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-1.6 |
.0548 |
.0537 |
.0526 |
.0516 |
.0505 |
.0495 |
.0485 |
.0475 |
.0465 |
.0455 |
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-1.5 |
.0668 |
.0655 |
.0643 |
.0630 |
.0618 |
.0606 |
.0594 |
.0582 |
.0571 |
.0559 |
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-1.4 |
.0808 |
.0793 |
.0778 |
.0764 |
.0749 |
.0735 |
.0721 |
.0708 |
.0694 |
.0681 |
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-1.3 |
.0968 |
.0951 |
.0934 |
.0918 |
.0901 |
.0885 |
.0869 |
.0853 |
.0838 |
.0823 |
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-1.2 |
.1151 |
.1131 |
.1112 |
.1093 |
.1075 |
.1056 |
.1038 |
.1020 |
.1003 |
.0985 |
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-1.1 |
.1357 |
.1335 |
.1314 |
.1292 |
.1271 |
.1251 |
.1230 |
.1210 |
.1190 |
.1170 |
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-1.0 |
.1587 |
.1562 |
.1539 |
.1515 |
.1492 |
.1469 |
.1446 |
.1423 |
.1401 |
.1379 |
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-0.9 |
.1841 |
.1814 |
.1788 |
.1762 |
.1736 |
.1711 |
.1685 |
.1660 |
.1635 |
.1611 |
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-0.8 |
.2119 |
.2090 |
.2061 |
.2033 |
.2005 |
.1977 |
.1949 |
.1922 |
.1894 |
.1867 |
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-0.7 |
.2420 |
.2389 |
.2358 |
.2327 |
.2296 |
.2266 |
.2236 |
.2206 |
.2177 |
.2148 |
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-0.6 |
.2743 |
.2709 |
.2676 |
.2643 |
.2611 |
.2578 |
.2546 |
.2514 |
.2483 |
.2451 |
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-0.5 |
.3085 |
.3050 |
.3015 |
.2981 |
.2946 |
.2912 |
.2877 |
.2843 |
.2810 |
.2776 |
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-0.4 |
.3446 |
.3409 |
.3372 |
.3336 |
.3300 |
.3264 |
.3228 |
.3192 |
.3156 |
.3121 |
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-0.3 |
.3821 |
.3783 |
.3745 |
.3707 |
.3669 |
.3632 |
.3594 |
.3557 |
.3520 |
.3483 |
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-0.2 |
.4207 |
.4168 |
.4129 |
.4090 |
.4052 |
.4013 |
.3974 |
.3936 |
.3897 |
.3859 |
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-0.1 |
.4602 |
.4562 |
.4522 |
.4483 |
.4443 |
.4404 |
.4364 |
.4325 |
.4286 |
.4247 |
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-0.0 |
.5000 |
.4960 |
.4920 |
.4880 |
.4840 |
.4801 |
.4761 |
.4721 |
.4681 |
.4641 |
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Note: For values of z below -3.49, use 0.0001 for the area. |
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*Use these common values that result from interpolation: |
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z score |
Area |
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-1.645 |
0.0500 |
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-2.575 |
0.0050 |
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Positive z Scores |
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Standard Normal (z) Distribution: Cumulative Area from the Left |
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z |
.00 |
.01 |
.02 |
.03 |
.04 |
.05 |
.06 |
.07 |
.08 |
.09 |
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0.0 |
.5000 |
.5040 |
.5080 |
.5120 |
.5160 |
.5199 |
.5239 |
.5279 |
.5319 |
.5359 |
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0.1 |
.5398 |
.5438 |
.5478 |
.5517 |
.5557 |
.5596 |
.5636 |
.5675 |
.5714 |
.5753 |
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0.2 |
.5793 |
.5832 |
.5871 |
.5910 |
.5948 |
.5987 |
.6026 |
.6064 |
.6103 |
.6141 |
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0.3 |
.6179 |
.6217 |
.6255 |
.6293 |
.6331 |
.6368 |
.6406 |
.6443 |
.6480 |
.6517 |
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0.4 |
.6554 |
.6591 |
.6628 |
.6664 |
.6700 |
.6736 |
.6772 |
.6808 |
.6844 |
.6879 |
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0.5 |
.6915 |
.6950 |
.6985 |
.7019 |
.7054 |
.7088 |
.7123 |
.7157 |
.7190 |
.7224 |
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0.6 |
.7257 |
.7291 |
.7324 |
.7357 |
.7389 |
.7422 |
.7454 |
.7486 |
.7517 |
.7549 |
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0.7 |
.7580 |
.7611 |
.7642 |
.7673 |
.7704 |
.7734 |
.7764 |
.7794 |
.7823 |
.7852 |
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0.8 |
.7881 |
.7910 |
.7939 |
.7967 |
.7995 |
.8023 |
.8051 |
.8078 |
.8106 |
.8133 |
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0.9 |
.8159 |
.8186 |
.8212 |
.8238 |
.8264 |
.8289 |
.8315 |
.8340 |
.8365 |
.8389 |
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1.0 |
.8413 |
.8438 |
.8461 |
.8485 |
.8508 |
.8531 |
.8554 |
.8577 |
.8599 |
.8621 |
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1.1 |
.8643 |
.8665 |
.8686 |
.8708 |
.8729 |
.8749 |
.8770 |
.8790 |
.8810 |
.8830 |
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1.2 |
.8849 |
.8869 |
.8888 |
.8907 |
.8925 |
.8944 |
.8962 |
.8980 |
.8997 |
.9015 |
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1.3 |
.9032 |
.9049 |
.9066 |
.9082 |
.9099 |
.9115 |
.9131 |
.9147 |
.9162 |
.9177 |
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1.4 |
.9192 |
.9207 |
.9222 |
.9236 |
.9251 |
.9265 |
.9279 |
.9292 |
.9306 |
.9319 |
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1.5 |
.9332 |
.9345 |
.9357 |
.9370 |
.9382 |
.9394 |
.9406 |
.9418 |
.9429 |
.9441 |
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1.6 |
.9452 |
.9463 |
.9474 |
.9484 |
.9495 |
.9505 |
.9515 |
.9525 |
.9535 |
.9545 |
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1.7 |
.9554 |
.9564 |
.9573 |
.9582 |
.9591 |
.9599 |
.9608 |
.9616 |
.9625 |
.9633 |
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1.8 |
.9641 |
.9649 |
.9656 |
.9664 |
.9671 |
.9678 |
.9686 |
.9693 |
.9699 |
.9706 |
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1.9 |
.9713 |
.9719 |
.9726 |
.9732 |
.9738 |
.9744 |
.9750 |
.9756 |
.9761 |
.9767 |
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2.0 |
.9772 |
.9778 |
.9783 |
.9788 |
.9793 |
.9798 |
.9803 |
.9808 |
.9812 |
.9817 |
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2.1 |
.9821 |
.9826 |
.9830 |
.9834 |
.9838 |
.9842 |
.9846 |
.9850 |
.9854 |
.9857 |
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2.2 |
.9861 |
.9864 |
.9868 |
.9871 |
.9875 |
.9878 |
.9881 |
.9884 |
.9887 |
.9890 |
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2.3 |
.9893 |
.9896 |
.9898 |
.9901 |
.9904 |
.9906 |
.9909 |
.9911 |
.9913 |
.9916 |
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2.4 |
.9918 |
.9920 |
.9922 |
.9925 |
.9927 |
.9929 |
.9931 |
.9932 |
.9934 |
.9936 |
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2.5 |
.9938 |
.9940 |
.9941 |
.9943 |
.9945 |
.9946 |
.9948 |
.9949 |
.9951 |
.9952 |
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2.6 |
.9953 |
.9955 |
.9956 |
.9957 |
.9959 |
.9960 |
.9961 |
.9962 |
.9963 |
.9964 |
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2.7 |
.9965 |
.9966 |
.9967 |
.9968 |
.9969 |
.9970 |
.9971 |
.9972 |
.9973 |
.9974 |
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2.8 |
.9974 |
.9975 |
.9976 |
.9977 |
.9977 |
.9978 |
.9979 |
.9979 |
.9980 |
.9981 |
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2.9 |
.9981 |
.9982 |
.9982 |
.9983 |
.9984 |
.9984 |
.9985 |
.9985 |
.9986 |
.9986 |
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3.0 |
.9987 |
.9987 |
.9987 |
.9988 |
.9988 |
.9989 |
.9989 |
.9989 |
.9990 |
.9990 |
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3.1 |
.9990 |
.9991 |
.9991 |
.9991 |
.9992 |
.9992 |
.9992 |
.9992 |
.9993 |
.9993 |
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3.2 |
.9993 |
.9993 |
.9994 |
.9994 |
.9994 |
.9994 |
.9994 |
.9995 |
.9995 |
.9995 |
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3.3 |
.9995 |
.9995 |
.9995 |
.9996 |
.9996 |
.9996 |
.9996 |
.9996 |
.9996 |
.9997 |
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3.4 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9998 |
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3.50 and up |
.9999 |
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Note: For values of z above 3.49, use 0.9999 for the area. |
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*Use these common values that result from interpolation: |
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z score |
Area |
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1.645 |
0.9500 |
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2.575 |
0.9950 |
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Common Critical Values |
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Confidence Level |
Critical Value |
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0.90 |
1.645 |
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0.95 |
1.96 |
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0.99 |
2.575 |
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2. A data set includes 107 body temp. of healthy adult humans for ẋ= 98.7 ◦F and s= 0.72◦F. a)What is the best point estimate of the mean body temp of all healthy humans? The best point estimate is________◦F
b) using the sample statistics construct a 99% confidence interval estimate of the mean body temp. of all healthy humans. Do the confidence interval limits contain 98.6F? What does the sample suggest about the use of 98.6F as the mean body temp. What is the confidence interval estimate of the population mean µ? _______◦F<µ<_______◦F
C) Do the confidence interval limits contain 98.6F? Yes or No
D)What does that suggest about the use of 98.6F as the mean bidy temp.
|
t Distribution: Critical t Values |
|
|
|
|
|
|
|
|
Area in One Tail |
|
|
|
|
|
|
|
0.005 |
0.01 |
0.025 |
0.05 |
0.10 |
|
|
|
Area in Two Tails |
|
|
|
|
|
|
Degrees of Freedom |
0.01 |
0.02 |
0.05 |
0.10 |
0.20 |
|
|
1 |
63.657 |
31.821 |
12.706 |
6.314 |
3.078 |
|
|
2 |
9.925 |
6.965 |
4.303 |
2.920 |
1.886 |
|
|
3 |
5.841 |
4.541 |
3.182 |
2.353 |
1.638 |
|
|
4 |
4.604 |
3.747 |
2.776 |
2.132 |
1.533 |
|
|
5 |
4.032 |
3.365 |
2.571 |
2.015 |
1.476 |
|
|
6 |
3.707 |
3.143 |
2.447 |
1.943 |
1.440 |
|
|
7 |
3.499 |
2.998 |
2.365 |
1.895 |
1.415 |
|
|
8 |
3.355 |
2.896 |
2.306 |
1.860 |
1.397 |
|
|
9 |
3.250 |
2.821 |
2.262 |
1.833 |
1.383 |
|
|
10 |
3.169 |
2.764 |
2.228 |
1.812 |
1.372 |
|
|
11 |
3.106 |
2.718 |
2.201 |
1.796 |
1.363 |
|
|
12 |
3.055 |
2.681 |
2.179 |
1.782 |
1.356 |
|
|
13 |
3.012 |
2.650 |
2.160 |
1.771 |
1.350 |
|
|
14 |
2.977 |
2.624 |
2.145 |
1.761 |
1.345 |
|
|
15 |
2.947 |
2.602 |
2.131 |
1.753 |
1.341 |
|
|
16 |
2.921 |
2.583 |
2.120 |
1.746 |
1.337 |
|
|
17 |
2.898 |
2.567 |
2.110 |
1.740 |
1.333 |
|
|
18 |
2.878 |
2.552 |
2.101 |
1.734 |
1.330 |
|
|
19 |
2.861 |
2.539 |
2.093 |
1.729 |
1.328 |
|
|
20 |
2.845 |
2.528 |
2.086 |
1.725 |
1.325 |
|
|
21 |
2.831 |
2.518 |
2.080 |
1.721 |
1.323 |
|
|
22 |
2.819 |
2.508 |
2.074 |
1.717 |
1.321 |
|
|
23 |
2.807 |
2.500 |
2.069 |
1.714 |
1.319 |
|
|
24 |
2.797 |
2.492 |
2.064 |
1.711 |
1.318 |
|
|
25 |
2.787 |
2.485 |
2.060 |
1.708 |
1.316 |
|
|
26 |
2.779 |
2.479 |
2.056 |
1.706 |
1.315 |
|
|
27 |
2.771 |
2.473 |
2.052 |
1.703 |
1.314 |
|
|
28 |
2.763 |
2.467 |
2.048 |
1.701 |
1.313 |
|
|
29 |
2.756 |
2.462 |
2.045 |
1.699 |
1.311 |
|
|
30 |
2.750 |
2.457 |
2.042 |
1.697 |
1.310 |
|
|
31 |
2.744 |
2.453 |
2.040 |
1.696 |
1.309 |
|
|
32 |
2.738 |
2.449 |
2.037 |
1.694 |
1.309 |
|
|
33 |
2.733 |
2.445 |
2.035 |
1.692 |
1.308 |
|
|
34 |
2.728 |
2.441 |
2.032 |
1.691 |
1.307 |
|
|
35 |
2.724 |
2.438 |
2.030 |
1.690 |
1.306 |
|
|
36 |
2.719 |
2.434 |
2.028 |
1.688 |
1.306 |
|
|
37 |
2.715 |
2.431 |
2.026 |
1.687 |
1.305 |
|
|
38 |
2.712 |
2.429 |
2.024 |
1.686 |
1.304 |
|
|
39 |
2.708 |
2.426 |
2.023 |
1.685 |
1.304 |
|
|
40 |
2.704 |
2.423 |
2.021 |
1.684 |
1.303 |
|
|
45 |
2.690 |
2.412 |
2.014 |
1.679 |
1.301 |
|
|
50 |
2.678 |
2.403 |
2.009 |
1.676 |
1.299 |
|
|
60 |
2.660 |
2.390 |
2.000 |
1.671 |
1.296 |
|
|
70 |
2.648 |
2.381 |
1.994 |
1.667 |
1.294 |
|
|
80 |
2.639 |
2.374 |
1.990 |
1.664 |
1.292 |
|
|
90 |
2.632 |
2.368 |
1.987 |
1.662 |
1.291 |
|
|
100 |
2.626 |
2.364 |
1.984 |
1.660 |
1.290 |
|
|
200 |
2.601 |
2.345 |
1.972 |
1.653 |
1.286 |
|
|
300 |
2.592 |
2.339 |
1.968 |
1.650 |
1.284 |
|
|
400 |
2.588 |
2.336 |
1.966 |
1.649 |
1.284 |
|
|
500 |
2.586 |
2.334 |
1.965 |
1.648 |
1.283 |
|
|
1000 |
2.581 |
2.330 |
1.962 |
1.646 |
1.282 |
|
|
2000 |
2.578 |
2.328 |
1.961 |
1.646 |
1.282 |
|
|
Large |
2.576 |
2.326 |
1.960 |
1.645 |
1.282 |
|
|
Negative z Scores |
|
|
|
|
|
|
|
|
|
|
|
Standard Normal (z) Distribution: Cumulative Area from the Left |
|
|
|
|
|
|
|
|
|
|
|
z |
.00 |
.01 |
.02 |
.03 |
.04 |
.05 |
.06 |
.07 |
.08 |
.09 |
|
negative 3.50 and lower |
.0001 |
|
|
|
|
|
|
|
|
|
|
-3.4 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0002 |
|
-3.3 |
.0005 |
.0005 |
.0005 |
.0004 |
.0004 |
.0004 |
.0004 |
.0004 |
.0004 |
.0003 |
|
-3.2 |
.0007 |
.0007 |
.0006 |
.0006 |
.0006 |
.0006 |
.0006 |
.0005 |
.0005 |
.0005 |
|
-3.1 |
.0010 |
.0009 |
.0009 |
.0009 |
.0008 |
.0008 |
.0008 |
.0008 |
.0007 |
.0007 |
|
-3.0 |
.0013 |
.0013 |
.0013 |
.0012 |
.0012 |
.0011 |
.0011 |
.0011 |
.0010 |
.0010 |
|
-2.9 |
.0019 |
.0018 |
.0018 |
.0017 |
.0016 |
.0016 |
.0015 |
.0015 |
.0014 |
.0014 |
|
-2.8 |
.0026 |
.0025 |
.0024 |
.0023 |
.0023 |
.0022 |
.0021 |
.0021 |
.0020 |
.0019 |
|
-2.7 |
.0035 |
.0034 |
.0033 |
.0032 |
.0031 |
.0030 |
.0029 |
.0028 |
.0027 |
.0026 |
|
-2.6 |
.0047 |
.0045 |
.0044 |
.0043 |
.0041 |
.0040 |
.0039 |
.0038 |
.0037 |
.0036 |
|
-2.5 |
.0062 |
.0060 |
.0059 |
.0057 |
.0055 |
.0054 |
.0052 |
.0051 |
.0049 |
.0048 |
|
-2.4 |
.0082 |
.0080 |
.0078 |
.0075 |
.0073 |
.0071 |
.0069 |
.0068 |
.0066 |
.0064 |
|
-2.3 |
.0107 |
.0104 |
.0102 |
.0099 |
.0096 |
.0094 |
.0091 |
.0089 |
.0087 |
.0084 |
|
-2.2 |
.0139 |
.0136 |
.0132 |
.0129 |
.0125 |
.0122 |
.0119 |
.0116 |
.0113 |
.0110 |
|
-2.1 |
.0179 |
.0174 |
.0170 |
.0166 |
.0162 |
.0158 |
.0154 |
.0150 |
.0146 |
.0143 |
|
-2.0 |
.0228 |
.0222 |
.0217 |
.0212 |
.0207 |
.0202 |
.0197 |
.0192 |
.0188 |
.0183 |
|
-1.9 |
.0287 |
.0281 |
.0274 |
.0268 |
.0262 |
.0256 |
.0250 |
.0244 |
.0239 |
.0233 |
|
-1.8 |
.0359 |
.0351 |
.0344 |
.0336 |
.0329 |
.0322 |
.0314 |
.0307 |
.0301 |
.0294 |
|
-1.7 |
.0446 |
.0436 |
.0427 |
.0418 |
.0409 |
.0401 |
.0392 |
.0384 |
.0375 |
.0367 |
|
-1.6 |
.0548 |
.0537 |
.0526 |
.0516 |
.0505 |
.0495 |
.0485 |
.0475 |
.0465 |
.0455 |
|
-1.5 |
.0668 |
.0655 |
.0643 |
.0630 |
.0618 |
.0606 |
.0594 |
.0582 |
.0571 |
.0559 |
|
-1.4 |
.0808 |
.0793 |
.0778 |
.0764 |
.0749 |
.0735 |
.0721 |
.0708 |
.0694 |
.0681 |
|
-1.3 |
.0968 |
.0951 |
.0934 |
.0918 |
.0901 |
.0885 |
.0869 |
.0853 |
.0838 |
.0823 |
|
-1.2 |
.1151 |
.1131 |
.1112 |
.1093 |
.1075 |
.1056 |
.1038 |
.1020 |
.1003 |
.0985 |
|
-1.1 |
.1357 |
.1335 |
.1314 |
.1292 |
.1271 |
.1251 |
.1230 |
.1210 |
.1190 |
.1170 |
|
-1.0 |
.1587 |
.1562 |
.1539 |
.1515 |
.1492 |
.1469 |
.1446 |
.1423 |
.1401 |
.1379 |
|
-0.9 |
.1841 |
.1814 |
.1788 |
.1762 |
.1736 |
.1711 |
.1685 |
.1660 |
.1635 |
.1611 |
|
-0.8 |
.2119 |
.2090 |
.2061 |
.2033 |
.2005 |
.1977 |
.1949 |
.1922 |
.1894 |
.1867 |
|
-0.7 |
.2420 |
.2389 |
.2358 |
.2327 |
.2296 |
.2266 |
.2236 |
.2206 |
.2177 |
.2148 |
|
-0.6 |
.2743 |
.2709 |
.2676 |
.2643 |
.2611 |
.2578 |
.2546 |
.2514 |
.2483 |
.2451 |
|
-0.5 |
.3085 |
.3050 |
.3015 |
.2981 |
.2946 |
.2912 |
.2877 |
.2843 |
.2810 |
.2776 |
|
-0.4 |
.3446 |
.3409 |
.3372 |
.3336 |
.3300 |
.3264 |
.3228 |
.3192 |
.3156 |
.3121 |
|
-0.3 |
.3821 |
.3783 |
.3745 |
.3707 |
.3669 |
.3632 |
.3594 |
.3557 |
.3520 |
.3483 |
|
-0.2 |
.4207 |
.4168 |
.4129 |
.4090 |
.4052 |
.4013 |
.3974 |
.3936 |
.3897 |
.3859 |
|
-0.1 |
.4602 |
.4562 |
.4522 |
.4483 |
.4443 |
.4404 |
.4364 |
.4325 |
.4286 |
.4247 |
|
-0.0 |
.5000 |
.4960 |
.4920 |
.4880 |
.4840 |
.4801 |
.4761 |
.4721 |
.4681 |
.4641 |
|
Note: For values of z below -3.49, use 0.0001 for the area. |
|
|
|
|
|
|
|
|
|
|
|
*Use these common values that result from interpolation: |
|
|
|
|
|
|
|
|
|
|
|
z score |
Area |
|
|
|
|
|
|
|
|
|
|
-1.645 |
0.0500 |
|
|
|
|
|
|
|
|
|
|
-2.575 |
0.0050 |
|
|
|
|
|
|
|
|
|
|
Positive z Scores |
|
|
|
|
|
|
|
|
|
|
|
Standard Normal (z) Distribution: Cumulative Area from the Left |
|
|
|
|
|
|
|
|
|
|
|
z |
.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 |
|
2.2 |
.9861 |
.9864 |
.9868 |
.9871 |
.9875 |
.9878 |
.9881 |
.9884 |
.9887 |
.9890 |
|
2.3 |
.9893 |
.9896 |
.9898 |
.9901 |
.9904 |
.9906 |
.9909 |
.9911 |
.9913 |
.9916 |
|
2.4 |
.9918 |
.9920 |
.9922 |
.9925 |
.9927 |
.9929 |
.9931 |
.9932 |
.9934 |
.9936 |
|
2.5 |
.9938 |
.9940 |
.9941 |
.9943 |
.9945 |
.9946 |
.9948 |
.9949 |
.9951 |
.9952 |
|
2.6 |
.9953 |
.9955 |
.9956 |
.9957 |
.9959 |
.9960 |
.9961 |
.9962 |
.9963 |
.9964 |
|
2.7 |
.9965 |
.9966 |
.9967 |
.9968 |
.9969 |
.9970 |
.9971 |
.9972 |
.9973 |
.9974 |
|
2.8 |
.9974 |
.9975 |
.9976 |
.9977 |
.9977 |
.9978 |
.9979 |
.9979 |
.9980 |
.9981 |
|
2.9 |
.9981 |
.9982 |
.9982 |
.9983 |
.9984 |
.9984 |
.9985 |
.9985 |
.9986 |
.9986 |
|
3.0 |
.9987 |
.9987 |
.9987 |
.9988 |
.9988 |
.9989 |
.9989 |
.9989 |
.9990 |
.9990 |
|
3.1 |
.9990 |
.9991 |
.9991 |
.9991 |
.9992 |
.9992 |
.9992 |
.9992 |
.9993 |
.9993 |
|
3.2 |
.9993 |
.9993 |
.9994 |
.9994 |
.9994 |
.9994 |
.9994 |
.9995 |
.9995 |
.9995 |
|
3.3 |
.9995 |
.9995 |
.9995 |
.9996 |
.9996 |
.9996 |
.9996 |
.9996 |
.9996 |
.9997 |
|
3.4 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9998 |
|
3.50 and up |
.9999 |
|
|
|
|
|
|
|
|
|
|
Note: For values of z above 3.49, use 0.9999 for the area. |
|
|
|
|
|
|
|
|
|
|
|
*Use these common values that result from interpolation: |
|
|
|
|
|
|
|
|
|
|
|
z score |
Area |
|
|
|
|
|
|
|
|
|
|
1.645 |
0.9500 |
|
|
|
|
|
|
|
|
|
|
2.575 |
0.9950 |
|
|
|
|
|
|
|
|
|
|
Common Critical Values |
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|
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|
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|
|
|
|
Confidence Level |
Critical Value |
|
|
|
|
|
|
|
|
|
|
0.90 |
1.645 |
|
|
|
|
|
|
|
|
|
|
0.95 |
1.96 |
|
|
|
|
|
|
|
|
|
|
0.99 |
2.575 |
|
|
|
|
|
|
|
|
|
3. In a sample of seven cars, each car was tested for nitrogen-oxide emission (in grams per mile) and the following results were obtained; 0.18, 0.16, 0.06, 0.07, 0.08, 0.08, 0.14. assuming that this sample is representative of the cars in use, construct a 98% confidence interval estimate of the mean amount of nitrogen-oxide emissions for all cars. If the EPA requires that nitrogen-oxide emission be less than o.165g/mi, can we safely conclude that this requirement is being met?
a.) what is the confidence interval estimate of the mean amount of nitrogen-oxide emission for all cars?______g/mi <µ<g/mi.
b) can we safely conclude that the requirements that nitrogen-oxide emission be less then 0.165g/mi is being met?
|
t distribution: Critical t values |
|
|
|
|
|
|
|
Area in One Tail |
|
|
|
|
|
|
0.005 |
0.01 |
0.025 |
0.05 |
0.10 |
|
Degrees of Freedom |
Area in Two Tails |
|
|
|
|
|
|
0.01 |
0.02 |
0.05 |
0.10 |
0.20 |
|
1 |
63.657 |
31.821 |
12.706 |
6.314 |
3.078 |
|
2 |
9.925 |
6.965 |
4.303 |
2.920 |
1.886 |
|
3 |
5.841 |
4.541 |
3.182 |
2.353 |
1.638 |
|
4 |
4.604 |
3.747 |
2.776 |
2.132 |
1.533 |
|
5 |
4.032 |
3.365 |
2.571 |
2.015 |
1.476 |
|
6 |
3.707 |
3.143 |
2.447 |
1.943 |
1.440 |
|
7 |
3.499 |
2.998 |
2.365 |
1.895 |
1.415 |
|
8 |
3.355 |
2.896 |
2.306 |
1.860 |
1.397 |
|
9 |
3.250 |
2.821 |
2.262 |
1.833 |
1.383 |
|
10 |
3.169 |
2.764 |
2.228 |
1.812 |
1.372 |
|
11 |
3.106 |
2.718 |
2.201 |
1.796 |
1.363 |
|
12 |
3.055 |
2.681 |
2.179 |
1.782 |
1.356 |
|
13 |
3.012 |
2.650 |
2.160 |
1.771 |
1.350 |
|
14 |
2.977 |
2.624 |
2.145 |
1.761 |
1.345 |
|
15 |
2.947 |
2.602 |
2.131 |
1.753 |
1.341 |
|
16 |
2.921 |
2.583 |
2.120 |
1.746 |
1.337 |
|
17 |
2.898 |
2.567 |
2.110 |
1.740 |
1.333 |
|
18 |
2.878 |
2.552 |
2.101 |
1.734 |
1.330 |
|
19 |
2.861 |
2.539 |
2.093 |
1.729 |
1.328 |
|
20 |
2.845 |
2.528 |
2.086 |
1.725 |
1.325 |
|
21 |
2.831 |
2.518 |
2.080 |
1.721 |
1.323 |
|
22 |
2.819 |
2.508 |
2.074 |
1.717 |
1.321 |
|
23 |
2.807 |
2.500 |
2.069 |
1.714 |
1.319 |
|
24 |
2.797 |
2.492 |
2.064 |
1.711 |
1.318 |
|
25 |
2.787 |
2.485 |
2.060 |
1.708 |
1.316 |
|
26 |
2.779 |
2.479 |
2.056 |
1.706 |
1.315 |
|
27 |
2.771 |
2.473 |
2.052 |
1.703 |
1.314 |
|
28 |
2.763 |
2.467 |
2.048 |
1.701 |
1.313 |
|
29 |
2.756 |
2.462 |
2.045 |
1.699 |
1.311 |
|
30 |
2.750 |
2.457 |
2.042 |
1.697 |
1.310 |
|
31 |
2.744 |
2.453 |
2.040 |
1.696 |
1.309 |
|
32 |
2.738 |
2.449 |
2.037 |
1.694 |
1.309 |
|
33 |
2.733 |
2.445 |
2.035 |
1.692 |
1.308 |
|
34 |
2.728 |
2.441 |
2.032 |
1.691 |
1.307 |
|
35 |
2.724 |
2.438 |
2.030 |
1.690 |
1.306 |
|
36 |
2.719 |
2.434 |
2.028 |
1.688 |
1.306 |
|
37 |
2.715 |
2.431 |
2.026 |
1.687 |
1.305 |
|
38 |
2.712 |
2.429 |
2.024 |
1.686 |
1.304 |
|
39 |
2.708 |
2.426 |
2.023 |
1.685 |
1.304 |
|
40 |
2.704 |
2.423 |
2.021 |
1.684 |
1.303 |
|
45 |
2.690 |
2.412 |
2.014 |
1.679 |
1.301 |
|
50 |
2.678 |
2.403 |
2.009 |
1.676 |
1.299 |
|
60 |
2.660 |
2.390 |
2.000 |
1.671 |
1.296 |
|
70 |
2.648 |
2.381 |
1.994 |
1.667 |
1.294 |
|
80 |
2.639 |
2.374 |
1.990 |
1.664 |
1.292 |
|
90 |
2.632 |
2.368 |
1.987 |
1.662 |
1.291 |
|
100 |
2.626 |
2.364 |
1.984 |
1.660 |
1.290 |
|
200 |
2.601 |
2.345 |
1.972 |
1.653 |
1.286 |
|
300 |
2.592 |
2.339 |
1.968 |
1.650 |
1.284 |
|
400 |
2.588 |
2.336 |
1.966 |
1.649 |
1.284 |
|
500 |
2.586 |
2.334 |
1.965 |
1.648 |
1.283 |
|
1000 |
2.581 |
2.330 |
1.962 |
1.646 |
1.282 |
|
2000 |
2.578 |
2.328 |
1.961 |
1.646 |
1.282 |
|
Large |
2.576 |
2.326 |
1.960 |
1.645 |
1.282 |
|
Degrees of Freedom |
Area in One Tail |
|
|
|
|
|
|
0.005 |
0.01 |
0.03 |
0.05 |
0.10 |
|
|
Area in Two Tails |
|
|
|
|
|
|
0.01 |
0.02 |
0.05 |
0.10 |
0.20 |
|
Negative z Scores |
|
|
|
|
|
|
|
|
|
|
|
Standard Normal (z) Distribution: Cumulative Area from the Left |
|
|
|
|
|
|
|
|
|
|
|
z |
.00 |
.01 |
.02 |
.03 |
.04 |
.05 |
.06 |
.07 |
.08 |
.09 |
|
negative 3.50 and lower |
.0001 |
|
|
|
|
|
|
|
|
|
|
-3.4 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0003 |
.0002 |
|
-3.3 |
.0005 |
.0005 |
.0005 |
.0004 |
.0004 |
.0004 |
.0004 |
.0004 |
.0004 |
.0003 |
|
-3.2 |
.0007 |
.0007 |
.0006 |
.0006 |
.0006 |
.0006 |
.0006 |
.0005 |
.0005 |
.0005 |
|
-3.1 |
.0010 |
.0009 |
.0009 |
.0009 |
.0008 |
.0008 |
.0008 |
.0008 |
.0007 |
.0007 |
|
-3.0 |
.0013 |
.0013 |
.0013 |
.0012 |
.0012 |
.0011 |
.0011 |
.0011 |
.0010 |
.0010 |
|
-2.9 |
.0019 |
.0018 |
.0018 |
.0017 |
.0016 |
.0016 |
.0015 |
.0015 |
.0014 |
.0014 |
|
-2.8 |
.0026 |
.0025 |
.0024 |
.0023 |
.0023 |
.0022 |
.0021 |
.0021 |
.0020 |
.0019 |
|
-2.7 |
.0035 |
.0034 |
.0033 |
.0032 |
.0031 |
.0030 |
.0029 |
.0028 |
.0027 |
.0026 |
|
-2.6 |
.0047 |
.0045 |
.0044 |
.0043 |
.0041 |
.0040 |
.0039 |
.0038 |
.0037 |
.0036 |
|
-2.5 |
.0062 |
.0060 |
.0059 |
.0057 |
.0055 |
.0054 |
.0052 |
.0051 |
.0049 |
.0048 |
|
-2.4 |
.0082 |
.0080 |
.0078 |
.0075 |
.0073 |
.0071 |
.0069 |
.0068 |
.0066 |
.0064 |
|
-2.3 |
.0107 |
.0104 |
.0102 |
.0099 |
.0096 |
.0094 |
.0091 |
.0089 |
.0087 |
.0084 |
|
-2.2 |
.0139 |
.0136 |
.0132 |
.0129 |
.0125 |
.0122 |
.0119 |
.0116 |
.0113 |
.0110 |
|
-2.1 |
.0179 |
.0174 |
.0170 |
.0166 |
.0162 |
.0158 |
.0154 |
.0150 |
.0146 |
.0143 |
|
-2.0 |
.0228 |
.0222 |
.0217 |
.0212 |
.0207 |
.0202 |
.0197 |
.0192 |
.0188 |
.0183 |
|
-1.9 |
.0287 |
.0281 |
.0274 |
.0268 |
.0262 |
.0256 |
.0250 |
.0244 |
.0239 |
.0233 |
|
-1.8 |
.0359 |
.0351 |
.0344 |
.0336 |
.0329 |
.0322 |
.0314 |
.0307 |
.0301 |
.0294 |
|
-1.7 |
.0446 |
.0436 |
.0427 |
.0418 |
.0409 |
.0401 |
.0392 |
.0384 |
.0375 |
.0367 |
|
-1.6 |
.0548 |
.0537 |
.0526 |
.0516 |
.0505 |
.0495 |
.0485 |
.0475 |
.0465 |
.0455 |
|
-1.5 |
.0668 |
.0655 |
.0643 |
.0630 |
.0618 |
.0606 |
.0594 |
.0582 |
.0571 |
.0559 |
|
-1.4 |
.0808 |
.0793 |
.0778 |
.0764 |
.0749 |
.0735 |
.0721 |
.0708 |
.0694 |
.0681 |
|
-1.3 |
.0968 |
.0951 |
.0934 |
.0918 |
.0901 |
.0885 |
.0869 |
.0853 |
.0838 |
.0823 |
|
-1.2 |
.1151 |
.1131 |
.1112 |
.1093 |
.1075 |
.1056 |
.1038 |
.1020 |
.1003 |
.0985 |
|
-1.1 |
.1357 |
.1335 |
.1314 |
.1292 |
.1271 |
.1251 |
.1230 |
.1210 |
.1190 |
.1170 |
|
-1.0 |
.1587 |
.1562 |
.1539 |
.1515 |
.1492 |
.1469 |
.1446 |
.1423 |
.1401 |
.1379 |
|
-0.9 |
.1841 |
.1814 |
.1788 |
.1762 |
.1736 |
.1711 |
.1685 |
.1660 |
.1635 |
.1611 |
|
-0.8 |
.2119 |
.2090 |
.2061 |
.2033 |
.2005 |
.1977 |
.1949 |
.1922 |
.1894 |
.1867 |
|
-0.7 |
.2420 |
.2389 |
.2358 |
.2327 |
.2296 |
.2266 |
.2236 |
.2206 |
.2177 |
.2148 |
|
-0.6 |
.2743 |
.2709 |
.2676 |
.2643 |
.2611 |
.2578 |
.2546 |
.2514 |
.2483 |
.2451 |
|
-0.5 |
.3085 |
.3050 |
.3015 |
.2981 |
.2946 |
.2912 |
.2877 |
.2843 |
.2810 |
.2776 |
|
-0.4 |
.3446 |
.3409 |
.3372 |
.3336 |
.3300 |
.3264 |
.3228 |
.3192 |
.3156 |
.3121 |
|
-0.3 |
.3821 |
.3783 |
.3745 |
.3707 |
.3669 |
.3632 |
.3594 |
.3557 |
.3520 |
.3483 |
|
-0.2 |
.4207 |
.4168 |
.4129 |
.4090 |
.4052 |
.4013 |
.3974 |
.3936 |
.3897 |
.3859 |
|
-0.1 |
.4602 |
.4562 |
.4522 |
.4483 |
.4443 |
.4404 |
.4364 |
.4325 |
.4286 |
.4247 |
|
-0.0 |
.5000 |
.4960 |
.4920 |
.4880 |
.4840 |
.4801 |
.4761 |
.4721 |
.4681 |
.4641 |
|
Note: For values of z below -3.49, use 0.0001 for the area. |
|
|
|
|
|
|
|
|
|
|
|
*Use these common values that result from interpolation: |
|
|
|
|
|
|
|
|
|
|
|
z score |
Area |
|
|
|
|
|
|
|
|
|
|
-1.645 |
0.0500 |
|
|
|
|
|
|
|
|
|
|
-2.575 |
0.0050 |
|
|
|
|
|
|
|
|
|
|
Positive z Scores |
|
|
|
|
|
|
|
|
|
|
|
Standard Normal (z) Distribution: Cumulative Area from the Left |
|
|
|
|
|
|
|
|
|
|
|
z |
.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 |
|
2.2 |
.9861 |
.9864 |
.9868 |
.9871 |
.9875 |
.9878 |
.9881 |
.9884 |
.9887 |
.9890 |
|
2.3 |
.9893 |
.9896 |
.9898 |
.9901 |
.9904 |
.9906 |
.9909 |
.9911 |
.9913 |
.9916 |
|
2.4 |
.9918 |
.9920 |
.9922 |
.9925 |
.9927 |
.9929 |
.9931 |
.9932 |
.9934 |
.9936 |
|
2.5 |
.9938 |
.9940 |
.9941 |
.9943 |
.9945 |
.9946 |
.9948 |
.9949 |
.9951 |
.9952 |
|
2.6 |
.9953 |
.9955 |
.9956 |
.9957 |
.9959 |
.9960 |
.9961 |
.9962 |
.9963 |
.9964 |
|
2.7 |
.9965 |
.9966 |
.9967 |
.9968 |
.9969 |
.9970 |
.9971 |
.9972 |
.9973 |
.9974 |
|
2.8 |
.9974 |
.9975 |
.9976 |
.9977 |
.9977 |
.9978 |
.9979 |
.9979 |
.9980 |
.9981 |
|
2.9 |
.9981 |
.9982 |
.9982 |
.9983 |
.9984 |
.9984 |
.9985 |
.9985 |
.9986 |
.9986 |
|
3.0 |
.9987 |
.9987 |
.9987 |
.9988 |
.9988 |
.9989 |
.9989 |
.9989 |
.9990 |
.9990 |
|
3.1 |
.9990 |
.9991 |
.9991 |
.9991 |
.9992 |
.9992 |
.9992 |
.9992 |
.9993 |
.9993 |
|
3.2 |
.9993 |
.9993 |
.9994 |
.9994 |
.9994 |
.9994 |
.9994 |
.9995 |
.9995 |
.9995 |
|
3.3 |
.9995 |
.9995 |
.9995 |
.9996 |
.9996 |
.9996 |
.9996 |
.9996 |
.9996 |
.9997 |
|
3.4 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9997 |
.9998 |
|
3.50 and up |
.9999 |
|
|
|
|
|
|
|
|
|
|
Note: For values of z above 3.49, use 0.9999 for the area. |
|
|
|
|
|
|
|
|
|
|
|
*Use these common values that result from interpolation: |
|
|
|
|
|
|
|
|
|
|
|
z score |
Area |
|
|
|
|
|
|
|
|
|
|
1.645 |
0.9500 |
|
|
|
|
|
|
|
|
|
|
2.575 |
0.9950 |
|
|
|
|
|
|
|
|
|
|
Common Critical Values |
|
|
|
|
|
|
|
|
|
|
|
Confidence Level |
Critical Value |
|
|
|
|
|
|
|
|
|
|
0.90 |
1.645 |
|
|
|
|
|
|
|
|
|
|
0.95 |
1.96 |
|
|
|
|
|
|
|
|
|
|
0.99 |
2.575 |
|
|
|
|
|
|
|
|
|
5. use the given data set to complete parts (a) Through(c) below.(use a= 0.05)
|
x |
y |
|
10 |
9.13 |
|
8 |
8.14 |
|
13 |
8.75 |
|
9 |
8.77 |
|
11 |
9.27 |
|
14 |
8.09 |
|
6 |
6.12 |
|
4 |
3.09 |
|
12 |
9.13 |
|
7 |
7.26 |
|
5 |
4.73 |
a)find the linear correlation coefficient,r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variable. The linear correlation coefficient is r=___________
b)construct a scatterplot
c)determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables.
d)Indentify the feature of the data that would be missed if part b was completed without constructing the scatter plot.
6.For a sample of 8 bears, researchers measured the distance around the bears chest and weighted the b ears. Minitab was used to find that the value of the linear correlation coefficient is r=0.953. using a=0.05, determine if there is a linear correlation between chest size and weight. What proportion of the variation between weight can be explained by the linear relationship between weight and chest size.
a.)Is there a linear correlation between chest size and weight?
b)What proportion of the variation in weight can be explained by the linear relationship between weight and chest size?
|
Critical Values for the Correlation Coefficient |
|
|
|
n |
alpha = .05 |
alpha = .01 |
|
4 |
0.95 |
0.99 |
|
5 |
0.878 |
0.959 |
|
6 |
0.811 |
0.917 |
|
7 |
0.754 |
0.875 |
|
8 |
0.707 |
0.834 |
|
9 |
0.666 |
0.798 |
|
10 |
0.632 |
0.765 |
|
11 |
0.602 |
0.735 |
|
12 |
0.576 |
0.708 |
|
13 |
0.553 |
0.684 |
|
14 |
0.532 |
0.661 |
|
15 |
0.514 |
0.641 |
|
16 |
0.497 |
0.623 |
|
17 |
0.482 |
0.606 |
|
18 |
0.468 |
0.59 |
|
19 |
0.456 |
0.575 |
|
20 |
0.444 |
0.561 |
|
25 |
0.396 |
0.505 |
|
30 |
0.361 |
0.463 |
|
35 |
0.335 |
0.43 |
|
40 |
0.312 |
0.402 |
|
45 |
0.294 |
0.378 |
|
50 |
0.279 |
0.361 |
|
60 |
0.254 |
0.33 |
|
70 |
0.236 |
0.305 |
|
80 |
0.22 |
0.286 |
|
90 |
0.207 |
0.269 |
|
100 |
0.196 |
0.256 |
|
Note: To test H subscript 0: rho equals 0 against H subscript 1: rho not equal to 0, reject H subscript 0 if the absolute value of r is greater than the critical value in the table. |
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|