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In a random sample of 64 audited estate tax returns, it was determined that the mean amount of additional tax owed was $3476 with a standard deviation of $2588. Construct and interpret a 90% confidence interval for the mean additional amount of tax owed for estate tax returns. Click the icon to view the t-distribution table. The lower bound is $ 2,936. (Round to the nearest dollar as needed.) The upper bound is $ (Round to the nearest dollar as needed.)

In a random sample of 64 audited estate tax returns, it was determined that the mean amount of additional tax owed was $3476 with a standard deviation of $2588. Construct and interpret a 90% confidence interval for the mean additional amount of tax owed for estate tax returns. Click the icon to view the t-distribution table. The lower bound is $ 2,936. (Round to the nearest dollar as needed.) The upper bound is $ (Round to the nearest dollar as needed.)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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In a random sample of 64 audited estate tax returns, it was determined that the mean amount of additional tax owed was $3476 with a standard deviation of $2588. Construct and interpret a 90% confidence interval for the mean additional amount of tax owed for estate tax returns. Click the icon to view the t-distribution table. The lower bound is $ 2,936. (Round to the nearest dollar as needed.) The upper bound is $. (Round to the nearest dollar as needed.)
Transcribed Image Text:In a random sample of 64 audited estate tax returns, it was determined that the mean amount of additional tax owed was $3476 with a standard deviation of $2588. Construct and interpret a 90% confidence interval for the mean additional amount of tax owed for estate tax returns. Click the icon to view the t-distribution table. The lower bound is $ 2,936. (Round to the nearest dollar as needed.) The upper bound is $. (Round to the nearest dollar as needed.)
nd is t-distribution Table (-Distribution Area in Right Tail JP 0.25 0.20 0.15 0.10 0.05 0.025 0.02 0.01 0.005 0.0025 0.001 0.0005 1.000 0.816 0.765 1.376 1.061 0.978 0.941 0.920 1 1.963 1.386 1.250 3.078 1.886 1.638 1.533 1.476 6.314 2.920 2.353 2.132 2.015 12.706 15.894 4,849 3.482 2.999 2.757 31.821 6.965 4.541 63.657 9.925 5.841 4.604 4.032 127.321 14.089 7.453 5.598 4.773 318.309 636.619 31.599 12.924 8.610 6,869 4.303 22.327 3 0.741 5 3.182 2.776 2.571 10.215 7.173 5.893 1.190 3.747 3.365 0.727 1.156 0.718 0.711 8 6. 0.906 0.896 0.889 0.883 0.879 1.134 1.119 1.108 1.100 1.093 1.440 1.415 1.943 1.895 1.860 1.833 1.812 2.447 2.365 2.306 2.262 2.228 2.612 2.517 2.449 2.398 2.359 3.143 2.998 2.896 2.821 2.764 3.707 3.499 3.355 3.250 3.169 4.317 4.029 5.208 4.785 4.501 4.297 4.144 5.959 5.408 0.706 1.397 0,703 0.700 3.833 3.690 3.581 5.041 4.781 9 1.383 1.372 10 4.587 11 0.697 0.695 0.694 0.876 0.873 0.870 0.868 0.866 1.088 12 13 14 1.083 1.079 1.076 1.074 1.363 1.356 1.350 1.345 1.341 1,796 1.782 1.771 1.761 1.753 2.201 2.179 2.160 2.328 2.303 2.282 2.264 2.249 2.718 2.681 2.650 2.624 2.602 3,106 3.055 3.012 2.977 2.947 3.497 3.428 3.372 3.326 3.286 4.025 3.930 3.852 3.787 3.733 4.437 4.318 4.221 4.140 4.073 0.692 2.145 2.131 15 0.691 16 17 0.690 0.865 0,863 0.862 0.861 1.071 1.069 1.067 1.066 1.064 1.337 1.333 1.330 1.328 1.325 1.746 1.740 1.734 1.729 1.725 2.120 2.110 2.101 2.093 2.086 2.235 2.224 2.214 2.205 2.197 2.583 2.567 2.552 2.539 2.528 2.921 2.898 2.878 2.861 2.845 3.252 3.222 3.197 3.174 3.153 3.686 3.646 3.610 3.579 3.552 4.015 3.965 3.922 3.883 3.850 0,689 18 0.688 0.688 0.687 19 20 0.860 21 22 0.686 0.686 0.685 0,685 0.684 0.859 0.858 0.858 0.857 0.856 1.063 1.061 1.060 1.059 1.058 1.323 1.321 1.319 1.318 1.316 1.721 1.717 1.714 1.71 1.708 2.080 2.074 2.069 2.189 2.183 2.177 2.172 2.167 2.518 2.508 2.500 2.492 2.485 2.831 2,819 2.807 2.797 2.787 3.135 3.119 3.104 3.091 3.078 3.527 3.505 3.485 3.467 3.450 3.819 3.792 3.768 3.745 3.725 23 24 2.064 2.060 25 26 0.856 0,855 0.855 0.854 0.854 0.684 1.058 1.057 1.056 1.055 1.055 1.315 1.314 1.313 1.311 1.310 1.706 1,703 1.701 1.699 1.697 2.056 2.052 2.048 2.045 2.042 2.162 2.158 2.154 2.150 2.147 2.479 2.473 2.467 2.462 2.457 2.779 2.771 2.763 2.756 2.750 3.067 3.435 3.707 3.690 27 0.684 0.683 0,683 0.683 3.057 28 29 30 3,421 3.408 3.396 3.385 3.047 3.674 3.038 3.030 3.659 3.646 31 0.682 0.682 0.682 0.682 0.853 0.853 0.853 0.852 1.054 1.054 1.053 1.052 1.309 1.696 1.694 1,692 2.040 2.037 2.035 2.032 2.030 2.144 2.141 2.138 2.136 2.453 2.449 2.445 2.441 2.438 2,744 2.738 2.733 2.728 2.724 3.022 3.015 3.375 3.365 3.356 3.348 3.340 3.633 32 33 1.309 1.308 1.307 1.306 3.008 3.002 2.996 3.622 3.611 3.601 3.591 34 1.691 35 0.682 0.852 1.052 1.690 2.133 0.681 0.681 36 0.852 0.851 0.851 0.851 1.052 1.051 1.051 1.050 1.050 1.306 1.305 1.304 1.304 1.688 1.687 1.686 1.685 1.684 2.028 2.026 2.024 2.023 2.021 2.131 2.129 2.127 2.125 2.123 2.434 2.431 2.429 2.426 2.423 2.719 2.715 2.712 2.708 2,704 2.990 2.985 3.333 3.326 3.319 3.313 3.307 37 38 3.582 3.574 0.681 2.980 3.566 3.558 3.551 39 0.681 2.976 2.971 40 0.681 0.851 1.303 50 0.679 0.849 1.047 1.299 1.676 2.009 2.109 2.099 2.403 2.390 2.678 2.660 2.648 2.639 2.632 2.937 2.915 2.899 2.887 2.878 60 3.261 3.496 0.679 0.678 0.678 0.677 0.848 1.045 1.044 1.043 1.042 1.296 1.294 1.292 1.291 1.671 2,000 70 0,847 3.232 3.460 1.667 1.994 2.093 2.088 2.084 2.381 2.374 2.368 3.211 3.195 3.183 80 0.846 3.435 1.664 1.662 1,990 1.987 3.416 3.402 90 0.846 100 0.677 0.845 1.042 1.037 1.036 1.290 1.660 1.984 2.081 2.056 2.054 2.364 2.330 2.326 2.626 2.581 2.576 2.871 2.813 2.807 1000 3.174 3.390 0.675 0.674 0.842 0.842 1.282 1.282 1.646 1,645 1.962 1.960 3.098 3.090 3.300 3.291 df 0.25 0,20 0.15 0.10 0.05 0.025 0.02 0.01 0.005 0.0025 0.001 0.0005
Transcribed Image Text:nd is t-distribution Table (-Distribution Area in Right Tail JP 0.25 0.20 0.15 0.10 0.05 0.025 0.02 0.01 0.005 0.0025 0.001 0.0005 1.000 0.816 0.765 1.376 1.061 0.978 0.941 0.920 1 1.963 1.386 1.250 3.078 1.886 1.638 1.533 1.476 6.314 2.920 2.353 2.132 2.015 12.706 15.894 4,849 3.482 2.999 2.757 31.821 6.965 4.541 63.657 9.925 5.841 4.604 4.032 127.321 14.089 7.453 5.598 4.773 318.309 636.619 31.599 12.924 8.610 6,869 4.303 22.327 3 0.741 5 3.182 2.776 2.571 10.215 7.173 5.893 1.190 3.747 3.365 0.727 1.156 0.718 0.711 8 6. 0.906 0.896 0.889 0.883 0.879 1.134 1.119 1.108 1.100 1.093 1.440 1.415 1.943 1.895 1.860 1.833 1.812 2.447 2.365 2.306 2.262 2.228 2.612 2.517 2.449 2.398 2.359 3.143 2.998 2.896 2.821 2.764 3.707 3.499 3.355 3.250 3.169 4.317 4.029 5.208 4.785 4.501 4.297 4.144 5.959 5.408 0.706 1.397 0,703 0.700 3.833 3.690 3.581 5.041 4.781 9 1.383 1.372 10 4.587 11 0.697 0.695 0.694 0.876 0.873 0.870 0.868 0.866 1.088 12 13 14 1.083 1.079 1.076 1.074 1.363 1.356 1.350 1.345 1.341 1,796 1.782 1.771 1.761 1.753 2.201 2.179 2.160 2.328 2.303 2.282 2.264 2.249 2.718 2.681 2.650 2.624 2.602 3,106 3.055 3.012 2.977 2.947 3.497 3.428 3.372 3.326 3.286 4.025 3.930 3.852 3.787 3.733 4.437 4.318 4.221 4.140 4.073 0.692 2.145 2.131 15 0.691 16 17 0.690 0.865 0,863 0.862 0.861 1.071 1.069 1.067 1.066 1.064 1.337 1.333 1.330 1.328 1.325 1.746 1.740 1.734 1.729 1.725 2.120 2.110 2.101 2.093 2.086 2.235 2.224 2.214 2.205 2.197 2.583 2.567 2.552 2.539 2.528 2.921 2.898 2.878 2.861 2.845 3.252 3.222 3.197 3.174 3.153 3.686 3.646 3.610 3.579 3.552 4.015 3.965 3.922 3.883 3.850 0,689 18 0.688 0.688 0.687 19 20 0.860 21 22 0.686 0.686 0.685 0,685 0.684 0.859 0.858 0.858 0.857 0.856 1.063 1.061 1.060 1.059 1.058 1.323 1.321 1.319 1.318 1.316 1.721 1.717 1.714 1.71 1.708 2.080 2.074 2.069 2.189 2.183 2.177 2.172 2.167 2.518 2.508 2.500 2.492 2.485 2.831 2,819 2.807 2.797 2.787 3.135 3.119 3.104 3.091 3.078 3.527 3.505 3.485 3.467 3.450 3.819 3.792 3.768 3.745 3.725 23 24 2.064 2.060 25 26 0.856 0,855 0.855 0.854 0.854 0.684 1.058 1.057 1.056 1.055 1.055 1.315 1.314 1.313 1.311 1.310 1.706 1,703 1.701 1.699 1.697 2.056 2.052 2.048 2.045 2.042 2.162 2.158 2.154 2.150 2.147 2.479 2.473 2.467 2.462 2.457 2.779 2.771 2.763 2.756 2.750 3.067 3.435 3.707 3.690 27 0.684 0.683 0,683 0.683 3.057 28 29 30 3,421 3.408 3.396 3.385 3.047 3.674 3.038 3.030 3.659 3.646 31 0.682 0.682 0.682 0.682 0.853 0.853 0.853 0.852 1.054 1.054 1.053 1.052 1.309 1.696 1.694 1,692 2.040 2.037 2.035 2.032 2.030 2.144 2.141 2.138 2.136 2.453 2.449 2.445 2.441 2.438 2,744 2.738 2.733 2.728 2.724 3.022 3.015 3.375 3.365 3.356 3.348 3.340 3.633 32 33 1.309 1.308 1.307 1.306 3.008 3.002 2.996 3.622 3.611 3.601 3.591 34 1.691 35 0.682 0.852 1.052 1.690 2.133 0.681 0.681 36 0.852 0.851 0.851 0.851 1.052 1.051 1.051 1.050 1.050 1.306 1.305 1.304 1.304 1.688 1.687 1.686 1.685 1.684 2.028 2.026 2.024 2.023 2.021 2.131 2.129 2.127 2.125 2.123 2.434 2.431 2.429 2.426 2.423 2.719 2.715 2.712 2.708 2,704 2.990 2.985 3.333 3.326 3.319 3.313 3.307 37 38 3.582 3.574 0.681 2.980 3.566 3.558 3.551 39 0.681 2.976 2.971 40 0.681 0.851 1.303 50 0.679 0.849 1.047 1.299 1.676 2.009 2.109 2.099 2.403 2.390 2.678 2.660 2.648 2.639 2.632 2.937 2.915 2.899 2.887 2.878 60 3.261 3.496 0.679 0.678 0.678 0.677 0.848 1.045 1.044 1.043 1.042 1.296 1.294 1.292 1.291 1.671 2,000 70 0,847 3.232 3.460 1.667 1.994 2.093 2.088 2.084 2.381 2.374 2.368 3.211 3.195 3.183 80 0.846 3.435 1.664 1.662 1,990 1.987 3.416 3.402 90 0.846 100 0.677 0.845 1.042 1.037 1.036 1.290 1.660 1.984 2.081 2.056 2.054 2.364 2.330 2.326 2.626 2.581 2.576 2.871 2.813 2.807 1000 3.174 3.390 0.675 0.674 0.842 0.842 1.282 1.282 1.646 1,645 1.962 1.960 3.098 3.090 3.300 3.291 df 0.25 0,20 0.15 0.10 0.05 0.025 0.02 0.01 0.005 0.0025 0.001 0.0005
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