Chemical compound data x (°C) y (grams) 0 6 4 6 fitted linear regression equation 15 14 13 12 30 21 24 26 485 45 45 38 39 60 47 49 54 75 55 58 57 ŷ = 4.0794 +0.7327x s² = 11.19 x=37.5 Sxx = 11812.50 Critical Values of the t-Distribution (page 1) a v 0.40 0.30 0.20 0.15 0.10 0.05 0.025 1 0.325 0.727 1.376 1.963 3.078 6.314 12.706 2 0.289 0.617 1.061 1.386 1.886 2.920 4.303 3 0.277 0.584 0.978 1.250 1.638 2.353 3.182 4 0.271 0.569 0.941 1.190 1.533 2.132 2.776 5 0.267 0.559 0.920 1.156 1.476 2.015 2.571 6 0.265 0.553 0.906 1.134 1.440 1.943 2.447 7 0.263 0.549 0.896 1.119 1.415 1.895 2.365 8 0.262 0.546 0.889 1.108 1.397 1.860 2.306 9 0.261 0.543 0.883 1.100 1.383 1.833 2.262 10 0.260 0.542 0.879 1.093 1.372 1.812 2.228 11 0.260 0.540 0.876 1.088 1.363 1.796 2.201 40 120 2222222222234828 0.259 0.539 0.873 1.083 1.356 1.782 2.179 13 0.259 0.538 0.870 1.079 1.350 1.771 2.160 0.258 0.537 0.868 1.076 1.345 1.761 2.145 0.258 0.536 0.866 1.074 1.341 1.753 2.131 16 0.258 0.535 0.865 1.071 1.337 1.746 2.120 0.257 0.534 0.863 1.069 1.333 1.740 2.110 0.257 0.534 0.862 1.067 1.330 1.734 2.101 0.257 0.533 0.861 1.066 1.328 1.729 2.093 20 0.257 0.533 0.860 1.064 1.325 1.725 2.086 21 0.257 0.532 0.859 1.063 1.323 1.721 2.080 0.256 0.532 0.858 1.061 1.321 1.717 2.074 0.256 0.532 0.858 1.060 1.319 1.714 2.069 0.256 0.531 0.857 1.059 1.318 1.711 2.064 25 0.256 0.531 0.856 1.058 1.316 1.708 2.060 26 0.256 0.531 0.856 1.058 1.315 1.706 2.056 27 0.256 0.531 0.855 1.057 1.314 1.703 2.052 0.256 0.530 0.855 1.056 1.313 1.701 2.048 29 0.256 0.530 0.854 1.055 1.311 1.699 2.045 30 0.256 0.530 0.854 1.055 1.310 1.697 2.042 0.255 0.529 0.851 1.050 1.303 1.684 2.021 60 0.254 0.527 0.848 1.045 1.296 1.671 2.000 0.254 0.526 0.845 1.041 1.289 1.658 1.980 0.253 0.524 0.842 1.036 1.282 1.645 1.960 e v 0.40 0.30 0.20 0.15 0.10 0.05 0.025 ¡A a Dr > > > с - 2 < > C + Critical Values of the t-Distribution (page 2) a 0.02 0.015 0.01 0.0075 0.005 0.0025 0.0005 1 15.894 21.205 31.821 42.433 63.656 127.321 636.578 2 4.849 5.643 6.965 8.073 9.925 14.089 31.600 3 3.482 3.896 4.541 5.047 5.841 7.453 12.924 4 2.999 3.298 3.747 4.088 4.604 5.598 8.610 5 2.757 3.003 3.365 3.634 4.032 4.773 6.869 6 2.612 2.829 3.143 3.372 3.707 4.317 5.959 7 2.517 2.715 2.998 3.203 3.499 4.029 5.408 8 2.449 2.634 2.896 3.085 3.355 3.833 5.041 2.398 2.574 2.821 2.998 3.250 3.690 4.781 2.359 2.527 2.764 2.932 3.169 3.581 4.587 2.328 2.491 2.718 2.879 3.106 3.497 4.437 2.303 2.461 2.681 2.836 3.055 3.428 4.318 2.282 2.436 2.650 2.801 3.012 3.372 4.221 2.264 2.415 2.624 2.771 2.977 3.326 4.140 2.249 2.397 2.602 2.746 2.947 3.286 4.073 2.235 2.382 2.583 2.724 2.921 3.252 4.015 2.224 2.368 2.567 2.706 2.898 3.222 3.965 2.214 2.356 2.552 2.689 2.878 3.197 3.922 120 2 2 2 2 9 8 285 2.205 2.346 2.539 2.674 2.861 3.174 3.883 2.197 2.336 2.528 2.661 2.845 3.153 3.850 2.189 2.328 2.518 2.649 2.831 3.135 3.819 2.183 2.320 2.508 2.639 2.819 3.119 3.792 2.177 2.313 2.500 2.629 2.807 3.104 3.768 24 2.172 2.307 2.492 2.620 2.797 3.091 3.745 2.167 2.301 2.485 2.612 2.787 3.078 3.725 2.162 2.296 2.479 2.605 2.779 3.067 3.707 2.158 2.291 2.473 2.598 2.771 3.057 3.689 28 2.154 2.286 2.467 2.592 2.763 3.047 3.674 29 2.150 2.282 2.462 2.586 2.756 3.038 3.660 30 2.147 2.278 2.457 2.581 2.750 3.030 3.646 40 2.123 2.250 2.423 2.542 2.704 2.971 3.551 60 2.099 2.223 2.390 2.504 2.660 2.915 3.460 2.076 2.196 2.358 2.468 2.617 2.860 3.373 2.054 2.170 2.326 2.432 2.576 2.807 3.290 0.02 0.015 0.01 0.0075 0.005 0.0025 0.0005 a
Chemical compound data x (°C) y (grams) 0 6 4 6 fitted linear regression equation 15 14 13 12 30 21 24 26 485 45 45 38 39 60 47 49 54 75 55 58 57 ŷ = 4.0794 +0.7327x s² = 11.19 x=37.5 Sxx = 11812.50 Critical Values of the t-Distribution (page 1) a v 0.40 0.30 0.20 0.15 0.10 0.05 0.025 1 0.325 0.727 1.376 1.963 3.078 6.314 12.706 2 0.289 0.617 1.061 1.386 1.886 2.920 4.303 3 0.277 0.584 0.978 1.250 1.638 2.353 3.182 4 0.271 0.569 0.941 1.190 1.533 2.132 2.776 5 0.267 0.559 0.920 1.156 1.476 2.015 2.571 6 0.265 0.553 0.906 1.134 1.440 1.943 2.447 7 0.263 0.549 0.896 1.119 1.415 1.895 2.365 8 0.262 0.546 0.889 1.108 1.397 1.860 2.306 9 0.261 0.543 0.883 1.100 1.383 1.833 2.262 10 0.260 0.542 0.879 1.093 1.372 1.812 2.228 11 0.260 0.540 0.876 1.088 1.363 1.796 2.201 40 120 2222222222234828 0.259 0.539 0.873 1.083 1.356 1.782 2.179 13 0.259 0.538 0.870 1.079 1.350 1.771 2.160 0.258 0.537 0.868 1.076 1.345 1.761 2.145 0.258 0.536 0.866 1.074 1.341 1.753 2.131 16 0.258 0.535 0.865 1.071 1.337 1.746 2.120 0.257 0.534 0.863 1.069 1.333 1.740 2.110 0.257 0.534 0.862 1.067 1.330 1.734 2.101 0.257 0.533 0.861 1.066 1.328 1.729 2.093 20 0.257 0.533 0.860 1.064 1.325 1.725 2.086 21 0.257 0.532 0.859 1.063 1.323 1.721 2.080 0.256 0.532 0.858 1.061 1.321 1.717 2.074 0.256 0.532 0.858 1.060 1.319 1.714 2.069 0.256 0.531 0.857 1.059 1.318 1.711 2.064 25 0.256 0.531 0.856 1.058 1.316 1.708 2.060 26 0.256 0.531 0.856 1.058 1.315 1.706 2.056 27 0.256 0.531 0.855 1.057 1.314 1.703 2.052 0.256 0.530 0.855 1.056 1.313 1.701 2.048 29 0.256 0.530 0.854 1.055 1.311 1.699 2.045 30 0.256 0.530 0.854 1.055 1.310 1.697 2.042 0.255 0.529 0.851 1.050 1.303 1.684 2.021 60 0.254 0.527 0.848 1.045 1.296 1.671 2.000 0.254 0.526 0.845 1.041 1.289 1.658 1.980 0.253 0.524 0.842 1.036 1.282 1.645 1.960 e v 0.40 0.30 0.20 0.15 0.10 0.05 0.025 ¡A a Dr > > > с - 2 < > C + Critical Values of the t-Distribution (page 2) a 0.02 0.015 0.01 0.0075 0.005 0.0025 0.0005 1 15.894 21.205 31.821 42.433 63.656 127.321 636.578 2 4.849 5.643 6.965 8.073 9.925 14.089 31.600 3 3.482 3.896 4.541 5.047 5.841 7.453 12.924 4 2.999 3.298 3.747 4.088 4.604 5.598 8.610 5 2.757 3.003 3.365 3.634 4.032 4.773 6.869 6 2.612 2.829 3.143 3.372 3.707 4.317 5.959 7 2.517 2.715 2.998 3.203 3.499 4.029 5.408 8 2.449 2.634 2.896 3.085 3.355 3.833 5.041 2.398 2.574 2.821 2.998 3.250 3.690 4.781 2.359 2.527 2.764 2.932 3.169 3.581 4.587 2.328 2.491 2.718 2.879 3.106 3.497 4.437 2.303 2.461 2.681 2.836 3.055 3.428 4.318 2.282 2.436 2.650 2.801 3.012 3.372 4.221 2.264 2.415 2.624 2.771 2.977 3.326 4.140 2.249 2.397 2.602 2.746 2.947 3.286 4.073 2.235 2.382 2.583 2.724 2.921 3.252 4.015 2.224 2.368 2.567 2.706 2.898 3.222 3.965 2.214 2.356 2.552 2.689 2.878 3.197 3.922 120 2 2 2 2 9 8 285 2.205 2.346 2.539 2.674 2.861 3.174 3.883 2.197 2.336 2.528 2.661 2.845 3.153 3.850 2.189 2.328 2.518 2.649 2.831 3.135 3.819 2.183 2.320 2.508 2.639 2.819 3.119 3.792 2.177 2.313 2.500 2.629 2.807 3.104 3.768 24 2.172 2.307 2.492 2.620 2.797 3.091 3.745 2.167 2.301 2.485 2.612 2.787 3.078 3.725 2.162 2.296 2.479 2.605 2.779 3.067 3.707 2.158 2.291 2.473 2.598 2.771 3.057 3.689 28 2.154 2.286 2.467 2.592 2.763 3.047 3.674 29 2.150 2.282 2.462 2.586 2.756 3.038 3.660 30 2.147 2.278 2.457 2.581 2.750 3.030 3.646 40 2.123 2.250 2.423 2.542 2.704 2.971 3.551 60 2.099 2.223 2.390 2.504 2.660 2.915 3.460 2.076 2.196 2.358 2.468 2.617 2.860 3.373 2.054 2.170 2.326 2.432 2.576 2.807 3.290 0.02 0.015 0.01 0.0075 0.005 0.0025 0.0005 a
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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The amounts of a chemical compound y that dissolved in 100 grams of water at various temperatures x were recorded. The data were coded and recorded in the accompanying table. Use this information to answer parts a and b.
a) Construct a 99% confidence interval for the average amount of chemical that will dissolve in 100 grams of water at 50C.
________ < μᵧ|50 < ____________ (Round to three decimal places as needed.)
b) Construct a 99% prediction interval for the amount of chemical that will dissolve in 100 grams of water at 50C.
___________ < y₀ < ___________ (Round to three decimal places as needed.)
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