1Use an independent-measures t test with a = .01 to determine whether there is a significant difference between the two types of high school student. 8. It appears that there is some truth to the old...

Regarding question 8.) Please let me know why critical point at 95% confidence of t-statistic of df (n1+n2-2) = 32 is 2.034, not +/- 2.73 which is from T-value table.
1Use an independent-measures t test with a = .01<br>to determine whether there is a significant difference<br>between the two types of high school student.<br>8. It appears that there is some truth to the old adage<br>

Extracted text: 1Use an independent-measures t test with a = .01 to determine whether there is a significant difference between the two types of high school student. 8. It appears that there is some truth to the old adage "That which doesn't kill us makes us stronger." Seery, Holman, and Silver (2010) found that indi- viduals with some history of adversity report better mental health and higher well-being compared to people with little or no history of adversity. In an attempt to examine this phenomenon, a researcher surveys a group of college students to determine the negative life events that they experienced in the past 5 years and their current feeling of well-being. For n 18 participants with 2 or fewer negative experi- ences, the average well-being score is M = 42 with SS 398, and for n = 16 participants with 5 to 10 negative experiences the average score is M 48.6 with SS = 370. a. Is there a significant difference between the two populations represented by these two samples? Use a two-tailed test with a = .01. %3D
I Table<br>cum. prob<br>t 50<br>0.50<br>1.00<br>one-tail<br>t75<br>t 80<br>tas<br>t 90<br>t95<br>t 375<br>0.025<br>t 99<br>0.01<br>0.25<br>t 995<br>0.005<br>t 9995<br>0.001 0.0005<br>0.001<br>0.20<br>0.15<br>0.10<br>0.05<br>two-tails<br>0.50<br>0.40<br>0.30<br>0.20<br>0.10.<br>df<br>0.05<br>0.02<br>0.01<br>0.002<br>1<br>0.000<br>0.000<br>0.000<br>1.000<br>1.376<br>1.963<br>3.078<br>1.886<br>1.638<br>2<br>6.314<br>12.71<br>31.82<br>6.965<br>4.541<br>3.747<br>63.66<br>636.62<br>318.31<br>22.327<br>0.816<br>1.061<br>1.386<br>2.920<br>2.353<br>2.132<br>4.303<br>3.182<br>2.776<br>2.571<br>2.447<br>2.365<br>2.306<br>2.262<br>31.599<br>12.924<br>8.610<br>6.869<br>5.959<br>5.408<br>5.041<br>4.781<br>3<br>0.765<br>9.925<br>0.978<br>0.941<br>1.250<br>1.190<br>4<br>0,000<br>5.841<br>10.215<br>0.741<br>0.727<br>0.718<br>0.711<br>1.533<br>4.604<br>7.173<br>5.893<br>5.208<br>4.785<br>4.501<br>5<br>0.000<br>0.000<br>0.920<br>0.906<br>1.156<br>1.134<br>1.119<br>1.476<br>1.440<br>2.015<br>1.943<br>1.895<br>3.365<br>3.143<br>2.998<br>6.<br>4.032<br>3.707<br>3.499<br>3.355<br>3.250<br>0.000<br>0.896<br>1.415<br>8<br>0.000<br>0.706<br>0.889<br>0.883<br>0.879<br>0.876<br>1.108<br>1.100<br>1.093<br>1.397<br>1.383<br>1.860<br>1.833<br>2.896<br>2.821<br>9.<br>0.000<br>0.703<br>4.297<br>10<br>0.000<br>0.700<br>4.587<br>4.437<br>4.318<br>1.372<br>1.812<br>1.796<br>1.782<br>3.169<br>3.106<br>3.055<br>3.012<br>2.228<br>2.201<br>2.179<br>2.160<br>2.145<br>2.131<br>2.764<br>2.718<br>2.681<br>2.650<br>2.624<br>2.602<br>2.583<br>2.567<br>2.552<br>2.539<br>2.528<br>4.144<br>11<br>0.000<br>0.697<br>1.088<br>1.363<br>12<br>4.025<br>3.930<br>0.000<br>0.695<br>0.873<br>1.083<br>1.356<br>13<br>0.000<br>0.000<br>0.000<br>0.694<br>0.870<br>1.079<br>3.852<br>3.787<br>3.733<br>3.686<br>3.646<br>3.610<br>3.579<br>4.221<br>4.140<br>4.07<br>1.350<br>14<br>15<br>16<br>1.771<br>1.761<br>1.753<br>1.746<br>1.740<br>0.692<br>0.868<br>1.076<br>1.074<br>1.345<br>2.977<br>0.691<br>0.866<br>0.865<br>0.863<br>1.341<br>2.947<br>0.690<br>0.689<br>0.000<br>1.071<br>1.337<br>2.120<br>2.921<br>4.01<br>17<br>18<br>0.000<br>3.96<br>1.069<br>1.067<br>1.066<br>1.064<br>1.333<br>2.110<br>2.898<br>0.000<br>0.000<br>2.878<br>2.861<br>2.845<br>3.9<br>3.8<br>3.8<br>0.688<br>1.734<br>1.729<br>2.101<br>2.093<br>0,862<br>1.330<br>1.328<br>1.325<br>19<br>0.688<br>0.861<br>3.552<br>3.527<br>20<br>0.000<br>0.687<br>0.860<br>1.725<br>2.086<br>2.831<br>2.819<br>2.518<br>3.<br>1.063<br>1.061<br>1.060<br>1.059<br>1.058<br>2.080<br>2.074<br>2.069<br>1.323<br>1.321<br>21<br>0.000<br>0.686<br>0.859<br>1.721<br>2.508<br>2.500<br>3.505<br>3.<br>1.717<br>1.714<br>22<br>0.000<br>0.686<br>0.858<br>3.485<br>3.467<br>23<br>0.000<br>0.685<br>0.858<br>1.319<br>2.807<br>3.<br>2.492<br>2.797<br>24<br>25<br>26<br>1.711<br>2.064<br>2.060<br>2.056<br>2.052<br>2.048<br>1.318<br>1.316<br>0.000<br>0.685<br>0.857<br>2.787<br>2.779<br>0.000<br>0.684<br>0.856<br>1.708<br>2.485<br>3.450<br>3.435<br>2.479<br>2.473<br>2.467<br>1.706<br>1.703<br>1.701<br>1.699<br>1.697<br>1.684<br>1.058<br>1.315<br>0.684<br>0.684<br>0.000<br>0.856<br>0.000<br>0.855<br>1.057<br>1.314<br>2.771<br>3.421<br>27<br>28<br>29<br>30<br>40<br>60<br>80<br>2.763<br>2.756<br>1.056<br>1.313<br>3.408<br>0.855<br>0.854<br>0.000<br>0.683<br>2.045<br>2.042<br>2.021<br>2.462<br>2.457<br>2.423<br>1.055<br>1.311<br>3.396<br>0.000<br>0.000<br>0.683<br>3.385<br>3.307<br>1.055<br>1.310<br>2.750<br>0.854<br>0.851<br>0.683<br>1.050<br>1.303<br>2.704<br>0.000<br>0.000<br>0.681<br>3.232<br>2.000<br>1.990<br>2.660<br>2.639<br>2.390<br>1.296<br>1.292<br>1.045<br>1.671<br>0.848<br>0.846<br>0.679<br>1.043<br>1.664<br>2.374<br>3.195<br>0.000<br>0.678<br>2.364<br>3.174<br>1.660<br>1.646<br>1.984<br>1.962<br>2.626<br>2.581<br>1.042<br>1.290<br>0.000<br>0.000<br>100<br>0.677<br>0.845<br>1000<br>1.037<br>1.282<br>2.330<br>3.098<br>0.675<br>0.842<br>0.000<br>0.674<br>0.842<br>1.036<br>1.282<br>1.645<br>1.960<br>2.326<br>2.576<br>3.090<br>70%<br>95%<br>98%<br>99% 99.8%<br>80%<br>Confidence Level<br>0%<br>50%<br>60%<br>90%<br>

Extracted text: I Table cum. prob t 50 0.50 1.00 one-tail t75 t 80 tas t 90 t95 t 375 0.025 t 99 0.01 0.25 t 995 0.005 t 9995 0.001 0.0005 0.001 0.20 0.15 0.10 0.05 two-tails 0.50 0.40 0.30 0.20 0.10. df 0.05 0.02 0.01 0.002 1 0.000 0.000 0.000 1.000 1.376 1.963 3.078 1.886 1.638 2 6.314 12.71 31.82 6.965 4.541 3.747 63.66 636.62 318.31 22.327 0.816 1.061 1.386 2.920 2.353 2.132 4.303 3.182 2.776 2.571 2.447 2.365 2.306 2.262 31.599 12.924 8.610 6.869 5.959 5.408 5.041 4.781 3 0.765 9.925 0.978 0.941 1.250 1.190 4 0,000 5.841 10.215 0.741 0.727 0.718 0.711 1.533 4.604 7.173 5.893 5.208 4.785 4.501 5 0.000 0.000 0.920 0.906 1.156 1.134 1.119 1.476 1.440 2.015 1.943 1.895 3.365 3.143 2.998 6. 4.032 3.707 3.499 3.355 3.250 0.000 0.896 1.415 8 0.000 0.706 0.889 0.883 0.879 0.876 1.108 1.100 1.093 1.397 1.383 1.860 1.833 2.896 2.821 9. 0.000 0.703 4.297 10 0.000 0.700 4.587 4.437 4.318 1.372 1.812 1.796 1.782 3.169 3.106 3.055 3.012 2.228 2.201 2.179 2.160 2.145 2.131 2.764 2.718 2.681 2.650 2.624 2.602 2.583 2.567 2.552 2.539 2.528 4.144 11 0.000 0.697 1.088 1.363 12 4.025 3.930 0.000 0.695 0.873 1.083 1.356 13 0.000 0.000 0.000 0.694 0.870 1.079 3.852 3.787 3.733 3.686 3.646 3.610 3.579 4.221 4.140 4.07 1.350 14 15 16 1.771 1.761 1.753 1.746 1.740 0.692 0.868 1.076 1.074 1.345 2.977 0.691 0.866 0.865 0.863 1.341 2.947 0.690 0.689 0.000 1.071 1.337 2.120 2.921 4.01 17 18 0.000 3.96 1.069 1.067 1.066 1.064 1.333 2.110 2.898 0.000 0.000 2.878 2.861 2.845 3.9 3.8 3.8 0.688 1.734 1.729 2.101 2.093 0,862 1.330 1.328 1.325 19 0.688 0.861 3.552 3.527 20 0.000 0.687 0.860 1.725 2.086 2.831 2.819 2.518 3. 1.063 1.061 1.060 1.059 1.058 2.080 2.074 2.069 1.323 1.321 21 0.000 0.686 0.859 1.721 2.508 2.500 3.505 3. 1.717 1.714 22 0.000 0.686 0.858 3.485 3.467 23 0.000 0.685 0.858 1.319 2.807 3. 2.492 2.797 24 25 26 1.711 2.064 2.060 2.056 2.052 2.048 1.318 1.316 0.000 0.685 0.857 2.787 2.779 0.000 0.684 0.856 1.708 2.485 3.450 3.435 2.479 2.473 2.467 1.706 1.703 1.701 1.699 1.697 1.684 1.058 1.315 0.684 0.684 0.000 0.856 0.000 0.855 1.057 1.314 2.771 3.421 27 28 29 30 40 60 80 2.763 2.756 1.056 1.313 3.408 0.855 0.854 0.000 0.683 2.045 2.042 2.021 2.462 2.457 2.423 1.055 1.311 3.396 0.000 0.000 0.683 3.385 3.307 1.055 1.310 2.750 0.854 0.851 0.683 1.050 1.303 2.704 0.000 0.000 0.681 3.232 2.000 1.990 2.660 2.639 2.390 1.296 1.292 1.045 1.671 0.848 0.846 0.679 1.043 1.664 2.374 3.195 0.000 0.678 2.364 3.174 1.660 1.646 1.984 1.962 2.626 2.581 1.042 1.290 0.000 0.000 100 0.677 0.845 1000 1.037 1.282 2.330 3.098 0.675 0.842 0.000 0.674 0.842 1.036 1.282 1.645 1.960 2.326 2.576 3.090 70% 95% 98% 99% 99.8% 80% Confidence Level 0% 50% 60% 90%
Jun 08, 2022
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