{"id":217,"date":"2023-08-04T01:38:45","date_gmt":"2023-08-04T01:38:45","guid":{"rendered":"https:\/\/statorials.org\/pt\/tabela-de-distribuicao-t-do-aluno\/"},"modified":"2023-08-04T01:38:45","modified_gmt":"2023-08-04T01:38:45","slug":"tabela-de-distribuicao-t-do-aluno","status":"publish","type":"post","link":"https:\/\/statorials.org\/pt\/tabela-de-distribuicao-t-do-aluno\/","title":{"rendered":"Tabela de distribui\u00e7\u00e3o t de estudante"},"content":{"rendered":"

Neste artigo voc\u00ea encontrar\u00e1 a tabela com os valores caracter\u00edsticos da distribui\u00e7\u00e3o t de Student. Al\u00e9m disso, deixamos algumas pequenas instru\u00e7\u00f5es para que voc\u00ea possa usar corretamente a tabela de distribui\u00e7\u00e3o t de Student. <\/p>\n

<\/span> Valores da tabela de distribui\u00e7\u00e3o t de Student<\/span><\/h2>\n

Abaixo est\u00e1 a tabela de distribui\u00e7\u00e3o dos alunos<\/a> . As linhas correspondem aos graus de liberdade da distribui\u00e7\u00e3o t de Student, enquanto as colunas representam as probabilidades de encontrar um valor maior ou igual ao valor t de Student tabulado (cauda direita). <\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
GL<\/th>\n 0,001<\/th>\n 0,005<\/th>\n 0,01<\/th>\n 0,025<\/th>\n 0,05<\/th>\n 0,10<\/th>\n 0,15<\/th>\n 0,20<\/th>\n 0,25<\/th>\n 0h30<\/th>\n 0,35<\/th>\n 0,40<\/th>\n 0,45<\/th>\n<\/tr>\n<\/thead>\n
1<\/td>\n 318 309<\/td>\n 63.657<\/td>\n 31.821<\/td>\n 12.706<\/td>\n 6.314<\/td>\n 3.078<\/td>\n 1963<\/td>\n 1.376<\/td>\n 1.000<\/td>\n 0,727<\/td>\n 0,510<\/td>\n 0,325<\/td>\n 0,158<\/td>\n<\/tr>\n
2<\/td>\n 22.327<\/td>\n 9.925<\/td>\n 6.965<\/td>\n 4.303<\/td>\n 2.920<\/td>\n 1.886<\/td>\n 1.386<\/td>\n 1.061<\/td>\n 0,816<\/td>\n 0,617<\/td>\n 0,445<\/td>\n 0,289<\/td>\n 0,142<\/td>\n<\/tr>\n
3<\/td>\n 10.215<\/td>\n 5.841<\/td>\n 4.541<\/td>\n 3.182<\/td>\n 2.353<\/td>\n 1.638<\/td>\n 1.250<\/td>\n 0,978<\/td>\n 0,765<\/td>\n 0,584<\/td>\n 0,424<\/td>\n 0,277<\/td>\n 0,137<\/td>\n<\/tr>\n
4<\/td>\n 7.173<\/td>\n 4.604<\/td>\n 3.747<\/td>\n 2.776<\/td>\n 2.132<\/td>\n 1.533<\/td>\n 1.190<\/td>\n 0,941<\/td>\n 0,741<\/td>\n 0,569<\/td>\n 0,414<\/td>\n 0,271<\/td>\n 0,134<\/td>\n<\/tr>\n
5<\/td>\n 5.893<\/td>\n 4.032<\/td>\n 3.365<\/td>\n 2.571<\/td>\n 2015<\/td>\n 1.476<\/td>\n 1.156<\/td>\n 0,920<\/td>\n 0,727<\/td>\n 0,559<\/td>\n 0,408<\/td>\n 0,267<\/td>\n 0,132<\/td>\n<\/tr>\n
6<\/td>\n 5.208<\/td>\n 3.707<\/td>\n 3.143<\/td>\n 2.447<\/td>\n 1.943<\/td>\n 1.440<\/td>\n 1.134<\/td>\n 0,906<\/td>\n 0,718<\/td>\n 0,553<\/td>\n 0,404<\/td>\n 0,265<\/td>\n 0,131<\/td>\n<\/tr>\n
7<\/td>\n 4.785<\/td>\n 3.499<\/td>\n 2.998<\/td>\n 2.365<\/td>\n 1.895<\/td>\n 1.415<\/td>\n 1.119<\/td>\n 0,896<\/td>\n 0,711<\/td>\n 0,549<\/td>\n 0,402<\/td>\n 0,263<\/td>\n 0,130<\/td>\n<\/tr>\n
8<\/td>\n 4.501<\/td>\n 3.355<\/td>\n 2.896<\/td>\n 2.306<\/td>\n 1.860<\/td>\n 1.397<\/td>\n 1.108<\/td>\n 0,889<\/td>\n 0,706<\/td>\n 0,546<\/td>\n 0,399<\/td>\n 0,262<\/td>\n 0,130<\/td>\n<\/tr>\n
9<\/td>\n 4.297<\/td>\n 3.250<\/td>\n 2.821<\/td>\n 2.262<\/td>\n 1.833<\/td>\n 1.397<\/td>\n 1.100<\/td>\n 0,883<\/td>\n 0,703<\/td>\n 0,543<\/td>\n 0,398<\/td>\n 0,261<\/td>\n 0,129<\/td>\n<\/tr>\n
dez<\/td>\n 4.144<\/td>\n 3.169<\/td>\n 2.764<\/td>\n 2.228<\/td>\n 1.812<\/td>\n 1.372<\/td>\n 1.093<\/td>\n 0,879<\/td>\n 0,700<\/td>\n 0,542<\/td>\n 0,397<\/td>\n 0,260<\/td>\n 0,129<\/td>\n<\/tr>\n
onze<\/td>\n 4.025<\/td>\n 3.106<\/td>\n 2.718<\/td>\n 2.201<\/td>\n 1.796<\/td>\n 1.363<\/td>\n 1.088<\/td>\n 0,876<\/td>\n 0,697<\/td>\n 0,540<\/td>\n 0,396<\/td>\n 0,260<\/td>\n 0,129<\/td>\n<\/tr>\n
12<\/td>\n 3.930<\/td>\n 3.055<\/td>\n 2.681<\/td>\n 2.179<\/td>\n 1.782<\/td>\n 1.356<\/td>\n 1.083<\/td>\n 0,873<\/td>\n 0,695<\/td>\n 0,539<\/td>\n 0,395<\/td>\n 0,259<\/td>\n 0,128<\/td>\n<\/tr>\n
13<\/td>\n 3.852<\/td>\n 3.012<\/td>\n 2.650<\/td>\n 2.160<\/td>\n 1.771<\/td>\n 1.350<\/td>\n 1.080<\/td>\n 0,870<\/td>\n 0,694<\/td>\n 0,538<\/td>\n 0,394<\/td>\n 0,259<\/td>\n 0,128<\/td>\n<\/tr>\n
14<\/td>\n 3.787<\/td>\n 2.977<\/td>\n 2.624<\/td>\n 2.145<\/td>\n 1.761<\/td>\n 1.345<\/td>\n 1.076<\/td>\n 0,868<\/td>\n 0,692<\/td>\n 0,537<\/td>\n 0,393<\/td>\n 0,258<\/td>\n 0,128<\/td>\n<\/tr>\n
quinze<\/td>\n 3.733<\/td>\n 2.947<\/td>\n 2.602<\/td>\n 2.131<\/td>\n 1.753<\/td>\n 1.341<\/td>\n 1.074<\/td>\n 0,866<\/td>\n 0,691<\/td>\n 0,536<\/td>\n 0,393<\/td>\n 0,258<\/td>\n 0,128<\/td>\n<\/tr>\n
16<\/td>\n 3.686<\/td>\n 2.921<\/td>\n 2.583<\/td>\n 2.120<\/td>\n 1.746<\/td>\n 1.337<\/td>\n 1.071<\/td>\n 0,865<\/td>\n 0,690<\/td>\n 0,535<\/td>\n 0,392<\/td>\n 0,258<\/td>\n 0,128<\/td>\n<\/tr>\n
17<\/td>\n 3.646<\/td>\n 2.898<\/td>\n 2.567<\/td>\n 2.110<\/td>\n 1.740<\/td>\n 1.333<\/td>\n 1.069<\/td>\n 0,863<\/td>\n 0,689<\/td>\n 0,534<\/td>\n 0,392<\/td>\n 0,257<\/td>\n 0,128<\/td>\n<\/tr>\n
18<\/td>\n 3.610<\/td>\n 2.878<\/td>\n 2.552<\/td>\n 2.101<\/td>\n 1.734<\/td>\n 1.330<\/td>\n 1.067<\/td>\n 0,862<\/td>\n 0,688<\/td>\n 0,534<\/td>\n 0,392<\/td>\n 0,257<\/td>\n 0,127<\/td>\n<\/tr>\n
19<\/td>\n 3.579<\/td>\n 2.861<\/td>\n 2.539<\/td>\n 2.093<\/td>\n 1.729<\/td>\n 1.328<\/td>\n 1.066<\/td>\n 0,861<\/td>\n 0,688<\/td>\n 0,533<\/td>\n 0,391<\/td>\n 0,257<\/td>\n 0,127 <\/td>\n<\/tr>\n
<\/td>\n 0,001<\/strong><\/td>\n 0,005<\/strong><\/td>\n 0,01<\/strong><\/td>\n 0,025<\/strong><\/td>\n 0,05<\/strong><\/td>\n 0,10<\/strong><\/td>\n 0,15<\/strong><\/td>\n 0,20<\/strong><\/td>\n 0,25<\/strong><\/td>\n 0h30<\/strong><\/td>\n 0,35<\/strong><\/td>\n 0,40<\/strong><\/td>\n 0,45<\/strong><\/td>\n<\/tr>\n
vinte<\/td>\n 3.552<\/td>\n 2.845<\/td>\n 2.528<\/td>\n 2.086<\/td>\n 1.725<\/td>\n 1.328<\/td>\n 1.064<\/td>\n 0,860<\/td>\n 0,687<\/td>\n 0,533<\/td>\n 0,391<\/td>\n 0,257<\/td>\n 0,127<\/td>\n<\/tr>\n
vinte e um<\/td>\n 3.527<\/td>\n 2.831<\/td>\n 2.518<\/td>\n 2.080<\/td>\n 1.721<\/td>\n 1.323<\/td>\n 1.063<\/td>\n 0,859<\/td>\n 0,686<\/td>\n 0,532<\/td>\n 0,391<\/td>\n 0,257<\/td>\n 0,127<\/td>\n<\/tr>\n
22<\/td>\n 3.505<\/td>\n 2.819<\/td>\n 2.508<\/td>\n 2.074<\/td>\n 1.717<\/td>\n 1.321<\/td>\n 1.061<\/td>\n 0,858<\/td>\n 0,686<\/td>\n 0,532<\/td>\n 0,390<\/td>\n 0,256<\/td>\n 0,127<\/td>\n<\/tr>\n
23<\/td>\n 3.485<\/td>\n 2.807<\/td>\n 2.500<\/td>\n 2.069<\/td>\n 1.714<\/td>\n 1.319<\/td>\n 1.060<\/td>\n 0,858<\/td>\n 0,685<\/td>\n 0,532<\/td>\n 0,390<\/td>\n 0,256<\/td>\n 0,127<\/td>\n<\/tr>\n
24<\/td>\n 3.467<\/td>\n 2.797<\/td>\n 2.492<\/td>\n 2.064<\/td>\n 1.711<\/td>\n 1.318<\/td>\n 1.059<\/td>\n 0,857<\/td>\n 0,685<\/td>\n 0,531<\/td>\n 0,390<\/td>\n 0,256<\/td>\n 0,127<\/td>\n<\/tr>\n
25<\/td>\n 3.450<\/td>\n 2.787<\/td>\n 2.485<\/td>\n 2.060<\/td>\n 1.708<\/td>\n 1.316<\/td>\n 1.058<\/td>\n 0,856<\/td>\n 0,684<\/td>\n 0,531<\/td>\n 0,390<\/td>\n 0,256<\/td>\n 0,127<\/td>\n<\/tr>\n
26<\/td>\n 3.435<\/td>\n 2.779<\/td>\n 2.479<\/td>\n 2.056<\/td>\n 1.706<\/td>\n 1.315<\/td>\n 1.058<\/td>\n 0,856<\/td>\n 0,684<\/td>\n 0,531<\/td>\n 0,390<\/td>\n 0,256<\/td>\n 0,127<\/td>\n<\/tr>\n
27<\/td>\n 3.421<\/td>\n 2.771<\/td>\n 2.473<\/td>\n 2.052<\/td>\n 1.703<\/td>\n 1.314<\/td>\n 1.057<\/td>\n 0,855<\/td>\n 0,684<\/td>\n 0,531<\/td>\n 0,389<\/td>\n 0,256<\/td>\n 0,127<\/td>\n<\/tr>\n
28<\/td>\n 3.408<\/td>\n 2.763<\/td>\n 2.467<\/td>\n 2.048<\/td>\n 1.701<\/td>\n 1.313<\/td>\n 1.056<\/td>\n 0,855<\/td>\n 0,683<\/td>\n 0,530<\/td>\n 0,389<\/td>\n 0,256<\/td>\n 0,127<\/td>\n<\/tr>\n
29<\/td>\n 3.396<\/td>\n 2.756<\/td>\n 2.462<\/td>\n 2.045<\/td>\n 1.699<\/td>\n 1.311<\/td>\n 1.055<\/td>\n 0,854<\/td>\n 0,683<\/td>\n 0,530<\/td>\n 0,389<\/td>\n 0,256<\/td>\n 0,127<\/td>\n<\/tr>\n
30<\/td>\n 3.385<\/td>\n 2.750<\/td>\n 2.457<\/td>\n 2.042<\/td>\n 1.697<\/td>\n 1.310<\/td>\n 1.055<\/td>\n 0,854<\/td>\n 0,683<\/td>\n 0,530<\/td>\n 0,389<\/td>\n 0,256<\/td>\n 0,127<\/td>\n<\/tr>\n
31<\/td>\n 3.375<\/td>\n 2.744<\/td>\n 2.453<\/td>\n 2.040<\/td>\n 1.696<\/td>\n 1.309<\/td>\n 1.054<\/td>\n 0,853<\/td>\n 0,682<\/td>\n 0,530<\/td>\n 0,389<\/td>\n 0,256<\/td>\n 0,127<\/td>\n<\/tr>\n
32<\/td>\n 3.365<\/td>\n 2.738<\/td>\n 2.449<\/td>\n 2.037<\/td>\n 1.694<\/td>\n 1.309<\/td>\n 1.054<\/td>\n 0,853<\/td>\n 0,682<\/td>\n 0,530<\/td>\n 0,389<\/td>\n 0,255<\/td>\n 0,127<\/td>\n<\/tr>\n
33<\/td>\n 3.356<\/td>\n 2.733<\/td>\n 2.445<\/td>\n 2.035<\/td>\n 1.692<\/td>\n 1.308<\/td>\n 1.053<\/td>\n 0,853<\/td>\n 0,682<\/td>\n 0,530<\/td>\n 0,389<\/td>\n 0,255<\/td>\n 0,127<\/td>\n<\/tr>\n
3.4<\/td>\n 3.348<\/td>\n 2.728<\/td>\n 2.441<\/td>\n 2.032<\/td>\n 1.691<\/td>\n 1.307<\/td>\n 1.053<\/td>\n 0,852<\/td>\n 0,682<\/td>\n 0,529<\/td>\n 0,389<\/td>\n 0,255<\/td>\n 0,127<\/td>\n<\/tr>\n
35<\/td>\n 3.340<\/td>\n 2.724<\/td>\n 2.438<\/td>\n 2.030<\/td>\n 1.690<\/td>\n 1.306<\/td>\n 1.052<\/td>\n 0,852<\/td>\n 0,682<\/td>\n 0,529<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,127<\/td>\n<\/tr>\n
36<\/td>\n 3.333<\/td>\n 2.719<\/td>\n 2.434<\/td>\n 2.028<\/td>\n 1.688<\/td>\n 1.306<\/td>\n 1.052<\/td>\n 0,852<\/td>\n 0,681<\/td>\n 0,529<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,127<\/td>\n<\/tr>\n
37<\/td>\n 3.326<\/td>\n 2.715<\/td>\n 2.431<\/td>\n 2.026<\/td>\n 1.687<\/td>\n 1.305<\/td>\n 1.052<\/td>\n 0,851<\/td>\n 0,681<\/td>\n 0,529<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,127<\/td>\n<\/tr>\n
38<\/td>\n 3.319<\/td>\n 2.712<\/td>\n 2.429<\/td>\n 2.024<\/td>\n 1.686<\/td>\n 1.304<\/td>\n 1.051<\/td>\n 0,851<\/td>\n 0,681<\/td>\n 0,529<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,127<\/td>\n<\/tr>\n
39<\/td>\n 3.313<\/td>\n 2.708<\/td>\n 2.426<\/td>\n 2.023<\/td>\n 1.685<\/td>\n 1.304<\/td>\n 1.050<\/td>\n 0,851<\/td>\n 0,681<\/td>\n 0,529<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,126 <\/td>\n<\/tr>\n
<\/td>\n 0,001<\/strong><\/td>\n 0,005<\/strong><\/td>\n 0,01<\/strong><\/td>\n 0,025<\/strong><\/td>\n 0,05<\/strong><\/td>\n 0,10<\/strong><\/td>\n 0,15<\/strong><\/td>\n 0,20<\/strong><\/td>\n 0,25<\/strong><\/td>\n 0h30<\/strong><\/td>\n 0,35<\/strong><\/td>\n 0,40<\/strong><\/td>\n 0,45<\/strong><\/td>\n<\/tr>\n
40<\/td>\n 3.307<\/td>\n 2.704<\/td>\n 2.423<\/td>\n 2.021<\/td>\n 1.684<\/td>\n 1.303<\/td>\n 1.050<\/td>\n 0,851<\/td>\n 0,681<\/td>\n 0,529<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,126<\/td>\n<\/tr>\n
41<\/td>\n 3.301<\/td>\n 2.701<\/td>\n 2.421<\/td>\n 2020<\/td>\n 1.683<\/td>\n 1.303<\/td>\n 1.050<\/td>\n 0,850<\/td>\n 0,681<\/td>\n 0,529<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,126<\/td>\n<\/tr>\n
42<\/td>\n 3.296<\/td>\n 2.698<\/td>\n 2.418<\/td>\n 2.018<\/td>\n 1.682<\/td>\n 1.302<\/td>\n 1.049<\/td>\n 0,850<\/td>\n 0,680<\/td>\n 0,528<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,126<\/td>\n<\/tr>\n
43<\/td>\n 3.291<\/td>\n 2.695<\/td>\n 2.416<\/td>\n 2.017<\/td>\n 1.681<\/td>\n 1.302<\/td>\n 1.049<\/td>\n 0,850<\/td>\n 0,680<\/td>\n 0,528<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,126<\/td>\n<\/tr>\n
44<\/td>\n 3.286<\/td>\n 2.692<\/td>\n 2.414<\/td>\n 2015<\/td>\n 1.680<\/td>\n 1.301<\/td>\n 1.049<\/td>\n 0,850<\/td>\n 0,680<\/td>\n 0,528<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,126<\/td>\n<\/tr>\n
Quatro cinco<\/td>\n 3.281<\/td>\n 2.690<\/td>\n 2.412<\/td>\n 2014<\/td>\n 1.679<\/td>\n 1.301<\/td>\n 1.049<\/td>\n 0,850<\/td>\n 0,680<\/td>\n 0,528<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,126<\/td>\n<\/tr>\n
46<\/td>\n 3.277<\/td>\n 2.687<\/td>\n 2.410<\/td>\n 2013<\/td>\n 1.679<\/td>\n 1.300<\/td>\n 1.048<\/td>\n 0,850<\/td>\n 0,680<\/td>\n 0,528<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,126<\/td>\n<\/tr>\n
47<\/td>\n 3.273<\/td>\n 2.685<\/td>\n 2.408<\/td>\n 2.012<\/td>\n 1.678<\/td>\n 1.300<\/td>\n 1.048<\/td>\n 0,849<\/td>\n 0,680<\/td>\n 0,528<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,126<\/td>\n<\/tr>\n
48<\/td>\n 3.269<\/td>\n 2.682<\/td>\n 2.407<\/td>\n 2011<\/td>\n 1.677<\/td>\n 1.299<\/td>\n 1.048<\/td>\n 0,849<\/td>\n 0,680<\/td>\n 0,528<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,126<\/td>\n<\/tr>\n
49<\/td>\n 3.265<\/td>\n 2.680<\/td>\n 2.405<\/td>\n 2010<\/td>\n 1.677<\/td>\n 1.299<\/td>\n 1.048<\/td>\n 0,849<\/td>\n 0,680<\/td>\n 0,528<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,126<\/td>\n<\/tr>\n
cinquenta<\/td>\n 3.261<\/td>\n 2.678<\/td>\n 2.403<\/td>\n 2009<\/td>\n 1.676<\/td>\n 1.299<\/td>\n 1.047<\/td>\n 0,849<\/td>\n 0,679<\/td>\n 0,528<\/td>\n 0,388<\/td>\n 0,255<\/td>\n 0,126<\/td>\n<\/tr>\n
60<\/td>\n 3.232<\/td>\n 2.660<\/td>\n 2.390<\/td>\n 2.000<\/td>\n 1.671<\/td>\n 1.296<\/td>\n 1.046<\/td>\n 0,848<\/td>\n 0,679<\/td>\n 0,527<\/td>\n 0,387<\/td>\n 0,254<\/td>\n 0,126<\/td>\n<\/tr>\n
70<\/td>\n 3.218<\/td>\n 2.648<\/td>\n 2.381<\/td>\n 1994<\/td>\n 1.667<\/td>\n 1.294<\/td>\n 1.044<\/td>\n 0,847<\/td>\n 0,677<\/td>\n 0,527<\/td>\n 0,387<\/td>\n 0,254<\/td>\n 0,126<\/td>\n<\/tr>\n
80<\/td>\n 3.195<\/td>\n 2.639<\/td>\n 2.374<\/td>\n 1990<\/td>\n 1.664<\/td>\n 1.292<\/td>\n 1.043<\/td>\n 0,846<\/td>\n 0,677<\/td>\n 0,526<\/td>\n 0,387<\/td>\n 0,254<\/td>\n 0,126<\/td>\n<\/tr>\n
90<\/td>\n 3.183<\/td>\n 2.632<\/td>\n 2.368<\/td>\n 1987<\/td>\n 1.662<\/td>\n 1.291<\/td>\n 1.042<\/td>\n 0,846<\/td>\n 0,677<\/td>\n 0,526<\/td>\n 0,387<\/td>\n 0,254<\/td>\n 0,126<\/td>\n<\/tr>\n
100<\/td>\n 3.174<\/td>\n 2.626<\/td>\n 2.364<\/td>\n 1.984<\/td>\n 1.660<\/td>\n 1.290<\/td>\n 1.042<\/td>\n 0,845<\/td>\n 0,677<\/td>\n 0,526<\/td>\n 0,386<\/td>\n 0,254<\/td>\n 0,126 <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

<\/span> Como usar a tabela de distribui\u00e7\u00e3o t de Student<\/span><\/h2>\n

Para usar a tabela de distribui\u00e7\u00e3o t de Student, voc\u00ea deve seguir tr\u00eas etapas:<\/p>\n

    \n
  1. Entre na tabela atrav\u00e9s da linha de graus de liberdade correspondentes da distribui\u00e7\u00e3o t de Student. Em geral, os graus de liberdade da distribui\u00e7\u00e3o t de Student s\u00e3o um a menos que o n\u00famero total de observa\u00e7\u00f5es (n-1).<\/span><\/li>\n
  2. Entre na tabela atrav\u00e9s da coluna de probabilidade correspondente.<\/span><\/li>\n
  3. O valor da distribui\u00e7\u00e3o t de Student \u00e9 o valor encontrado onde a linha e a coluna das etapas anteriores se encontram.<\/span><\/li>\n<\/ol>\n

    Por exemplo, o valor da distribui\u00e7\u00e3o t de Student com cinco graus de liberdade e com 10% de probabilidade de encontrar um valor igual ou superior a este \u00e9 1,476. Porque \u00e9 o valor na linha dos cinco graus de liberdade e na coluna de probabilidade de 10% (0,1).<\/p>\n<\/p>\n

    \"\\displaystyle<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"

    Neste artigo voc\u00ea encontrar\u00e1 a tabela com os valores caracter\u00edsticos da distribui\u00e7\u00e3o t de Student. Al\u00e9m disso, deixamos algumas pequenas instru\u00e7\u00f5es para que voc\u00ea possa usar corretamente a tabela de distribui\u00e7\u00e3o t de Student. Valores da tabela de distribui\u00e7\u00e3o t de Student Abaixo est\u00e1 a tabela de distribui\u00e7\u00e3o dos alunos . As linhas correspondem aos […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":["post-217","post","type-post","status-publish","format-standard","hentry","category-probabilidade"],"yoast_head":"\n\u25b7 Tabela de distribui\u00e7\u00e3o t de Student - Probabilidade e estat\u00edstica<\/title>\n<meta name=\"description\" content=\"Neste artigo voc\u00ea encontrar\u00e1 a tabela com os valores caracter\u00edsticos da distribui\u00e7\u00e3o t de Student. 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