{"id":216,"date":"2023-08-04T01:38:45","date_gmt":"2023-08-04T01:38:45","guid":{"rendered":"https:\/\/statorials.org\/pl\/tabela-rozkladu-t-ucznia\/"},"modified":"2023-08-04T01:38:45","modified_gmt":"2023-08-04T01:38:45","slug":"tabela-rozkladu-t-ucznia","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/tabela-rozkladu-t-ucznia\/","title":{"rendered":"Tabela rozk\u0142adu t studenta"},"content":{"rendered":"

W tym artykule znajdziesz tabel\u0119 z charakterystycznymi warto\u015bciami rozk\u0142adu t-Studenta. Ponadto zostawiamy Ci kilka ma\u0142ych instrukcji, dzi\u0119ki kt\u00f3rym b\u0119dziesz m\u00f3g\u0142 poprawnie korzysta\u0107 z tabeli rozk\u0142adu Studenta. <\/p>\n

<\/span> Warto\u015bci z tabeli rozk\u0142adu t Studenta<\/span><\/h2>\n

Poni\u017cej znajduje si\u0119 tabela rozk\u0142adu Studenta<\/a> . Wiersze odpowiadaj\u0105 stopniom swobody rozk\u0142adu t-Studenta, natomiast kolumny przedstawiaj\u0105 prawdopodobie\u0144stwa znalezienia warto\u015bci wi\u0119kszej lub r\u00f3wnej tabeli warto\u015bci t-Studenta (prawy koniec). <\/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 0,30<\/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 31821<\/td>\n 12706<\/td>\n 6314<\/td>\n 3078<\/td>\n 1963<\/td>\n 1376<\/td>\n 1000<\/td>\n 0,727<\/td>\n 0,510<\/td>\n 0,325<\/td>\n 0,158<\/td>\n<\/tr>\n
2<\/td>\n 22327<\/td>\n 9925<\/td>\n 6965<\/td>\n 4303<\/td>\n 2920<\/td>\n 1886<\/td>\n 1386<\/td>\n 1061<\/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 10215<\/td>\n 5841<\/td>\n 4541<\/td>\n 3182<\/td>\n 2353<\/td>\n 1638<\/td>\n 1250<\/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 7173<\/td>\n 4604<\/td>\n 3747<\/td>\n 2776<\/td>\n 2132<\/td>\n 1533<\/td>\n 1190<\/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 5893<\/td>\n 4032<\/td>\n 3365<\/td>\n 2571<\/td>\n 2015<\/td>\n 1476<\/td>\n 1156<\/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 5208<\/td>\n 3707<\/td>\n 3143<\/td>\n 2447<\/td>\n 1943<\/td>\n 1440<\/td>\n 1134<\/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 4785<\/td>\n 3499<\/td>\n 2998<\/td>\n 2365<\/td>\n 1895<\/td>\n 1415<\/td>\n 1119<\/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 4501<\/td>\n 3355<\/td>\n 2896<\/td>\n 2306<\/td>\n 1860<\/td>\n 1397<\/td>\n 1108<\/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 4297<\/td>\n 3250<\/td>\n 2821<\/td>\n 2262<\/td>\n 1833<\/td>\n 1397<\/td>\n 1100<\/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
dziesi\u0119\u0107<\/td>\n 4144<\/td>\n 3169<\/td>\n 2764<\/td>\n 2228<\/td>\n 1812<\/td>\n 1372<\/td>\n 1093<\/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
jedena\u015bcie<\/td>\n 4025<\/td>\n 3106<\/td>\n 2718<\/td>\n 2201<\/td>\n 1796<\/td>\n 1363<\/td>\n 1088<\/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 3930<\/td>\n 3055<\/td>\n 2681<\/td>\n 2179<\/td>\n 1782<\/td>\n 1356<\/td>\n 1083<\/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 3852<\/td>\n 3012<\/td>\n 2650<\/td>\n 2160<\/td>\n 1771<\/td>\n 1350<\/td>\n 1080<\/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 3787<\/td>\n 2977<\/td>\n 2624<\/td>\n 2145<\/td>\n 1761<\/td>\n 1345<\/td>\n 1076<\/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
pi\u0119tna\u015bcie<\/td>\n 3733<\/td>\n 2947<\/td>\n 2602<\/td>\n 2131<\/td>\n 1753<\/td>\n 1341<\/td>\n 1074<\/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 3686<\/td>\n 2921<\/td>\n 2583<\/td>\n 2120<\/td>\n 1746<\/td>\n 1337<\/td>\n 1071<\/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 3646<\/td>\n 2898<\/td>\n 2567<\/td>\n 2110<\/td>\n 1740<\/td>\n 1333<\/td>\n 1069<\/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 3610<\/td>\n 2878<\/td>\n 2552<\/td>\n 2101<\/td>\n 1734<\/td>\n 1330<\/td>\n 1067<\/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 3579<\/td>\n 2861<\/td>\n 2539<\/td>\n 2093<\/td>\n 1729<\/td>\n 1328<\/td>\n 1066<\/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 0,30<\/strong><\/td>\n 0,35<\/strong><\/td>\n 0,40<\/strong><\/td>\n 0,45<\/strong><\/td>\n<\/tr>\n
20<\/td>\n 3552<\/td>\n 2845<\/td>\n 2528<\/td>\n 2086<\/td>\n 1725<\/td>\n 1328<\/td>\n 1064<\/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
dwadzie\u015bcia jeden<\/td>\n 3527<\/td>\n 2831<\/td>\n 2518<\/td>\n 2080<\/td>\n 1721<\/td>\n 1323<\/td>\n 1063<\/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 3505<\/td>\n 2819<\/td>\n 2508<\/td>\n 2074<\/td>\n 1717<\/td>\n 1321<\/td>\n 1061<\/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 3485<\/td>\n 2807<\/td>\n 2500<\/td>\n 2069<\/td>\n 1714<\/td>\n 1319<\/td>\n 1060<\/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 3467<\/td>\n 2797<\/td>\n 2492<\/td>\n 2064<\/td>\n 1711<\/td>\n 1318<\/td>\n 1059<\/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 3450<\/td>\n 2787<\/td>\n 2485<\/td>\n 2060<\/td>\n 1708<\/td>\n 1316<\/td>\n 1058<\/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 3435<\/td>\n 2779<\/td>\n 2479<\/td>\n 2056<\/td>\n 1706<\/td>\n 1315<\/td>\n 1058<\/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 3421<\/td>\n 2771<\/td>\n 2473<\/td>\n 2052<\/td>\n 1703<\/td>\n 1314<\/td>\n 1057<\/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 3408<\/td>\n 2763<\/td>\n 2467<\/td>\n 2048<\/td>\n 1701<\/td>\n 1313<\/td>\n 1056<\/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 3396<\/td>\n 2756<\/td>\n 2462<\/td>\n 2045<\/td>\n 1699<\/td>\n 1311<\/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 3385<\/td>\n 2750<\/td>\n 2457<\/td>\n 2042<\/td>\n 1697<\/td>\n 1310<\/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 3375<\/td>\n 2744<\/td>\n 2453<\/td>\n 2040<\/td>\n 1696<\/td>\n 1309<\/td>\n 1054<\/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 3365<\/td>\n 2738<\/td>\n 2449<\/td>\n 2037<\/td>\n 1694<\/td>\n 1309<\/td>\n 1054<\/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 3356<\/td>\n 2733<\/td>\n 2445<\/td>\n 2035<\/td>\n 1692<\/td>\n 1308<\/td>\n 1053<\/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 3348<\/td>\n 2728<\/td>\n 2441<\/td>\n 2032<\/td>\n 1691<\/td>\n 1307<\/td>\n 1053<\/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 3340<\/td>\n 2724<\/td>\n 2438<\/td>\n 2030<\/td>\n 1690<\/td>\n 1306<\/td>\n 1052<\/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 3333<\/td>\n 2719<\/td>\n 2434<\/td>\n 2028<\/td>\n 1688<\/td>\n 1306<\/td>\n 1052<\/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 3326<\/td>\n 2715<\/td>\n 2431<\/td>\n 2026<\/td>\n 1687<\/td>\n 1305<\/td>\n 1052<\/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 3319<\/td>\n 2712<\/td>\n 2429<\/td>\n 2024<\/td>\n 1686<\/td>\n 1304<\/td>\n 1051<\/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 3313<\/td>\n 2708<\/td>\n 2426<\/td>\n 2023<\/td>\n 1685<\/td>\n 1304<\/td>\n 1050<\/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 0,30<\/strong><\/td>\n 0,35<\/strong><\/td>\n 0,40<\/strong><\/td>\n 0,45<\/strong><\/td>\n<\/tr>\n
40<\/td>\n 3307<\/td>\n 2704<\/td>\n 2423<\/td>\n 2021<\/td>\n 1684<\/td>\n 1303<\/td>\n 1050<\/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 3301<\/td>\n 2701<\/td>\n 2421<\/td>\n 2020<\/td>\n 1683<\/td>\n 1303<\/td>\n 1050<\/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 3296<\/td>\n 2698<\/td>\n 2418<\/td>\n 2018<\/td>\n 1682<\/td>\n 1302<\/td>\n 1049<\/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 3291<\/td>\n 2695<\/td>\n 2416<\/td>\n 2017<\/td>\n 1681<\/td>\n 1302<\/td>\n 1049<\/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 3286<\/td>\n 2692<\/td>\n 2414<\/td>\n 2015<\/td>\n 1680<\/td>\n 1301<\/td>\n 1049<\/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
Cztery pi\u0119\u0107<\/td>\n 3281<\/td>\n 2690<\/td>\n 2412<\/td>\n 2014<\/td>\n 1679<\/td>\n 1301<\/td>\n 1049<\/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 3277<\/td>\n 2687<\/td>\n 2410<\/td>\n 2013<\/td>\n 1679<\/td>\n 1300<\/td>\n 1048<\/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 3273<\/td>\n 2685<\/td>\n 2408<\/td>\n 2012<\/td>\n 1678<\/td>\n 1300<\/td>\n 1048<\/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 3269<\/td>\n 2682<\/td>\n 2407<\/td>\n 2011<\/td>\n 1677<\/td>\n 1299<\/td>\n 1048<\/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 3265<\/td>\n 2680<\/td>\n 2405<\/td>\n 2010<\/td>\n 1677<\/td>\n 1299<\/td>\n 1048<\/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
pi\u0119\u0107dziesi\u0105t<\/td>\n 3261<\/td>\n 2678<\/td>\n 2403<\/td>\n 2009<\/td>\n 1676<\/td>\n 1299<\/td>\n 1047<\/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 3232<\/td>\n 2660<\/td>\n 2390<\/td>\n 2000<\/td>\n 1671<\/td>\n 1296<\/td>\n 1046<\/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 3218<\/td>\n 2648<\/td>\n 2381<\/td>\n 1994<\/td>\n 1667<\/td>\n 1294<\/td>\n 1044<\/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 3195<\/td>\n 2639<\/td>\n 2374<\/td>\n 1990<\/td>\n 1664<\/td>\n 1292<\/td>\n 1043<\/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 3183<\/td>\n 2632<\/td>\n 2368<\/td>\n 1987<\/td>\n 1662<\/td>\n 1291<\/td>\n 1042<\/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 3174<\/td>\n 2626<\/td>\n 2364<\/td>\n 1984<\/td>\n 1660<\/td>\n 1290<\/td>\n 1042<\/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> Jak korzysta\u0107 z tabeli rozk\u0142adu t Studenta<\/span><\/h2>\n

Aby skorzysta\u0107 z tablicy rozk\u0142adu t Studenta, nale\u017cy wykona\u0107 trzy kroki:<\/p>\n

    \n
  1. Wejd\u017a do tabeli poprzez wiersz odpowiednich stopni swobody rozk\u0142adu t-Studenta. Og\u00f3lnie rzecz bior\u0105c, stopnie swobody rozk\u0142adu t-Studenta s\u0105 o jeden mniejsze ni\u017c ca\u0142kowita liczba obserwacji (n-1).<\/span><\/li>\n
  2. Wejd\u017a do tabeli poprzez odpowiedni\u0105 kolumn\u0119 prawdopodobie\u0144stwa.<\/span><\/li>\n
  3. Warto\u015b\u0107 rozk\u0142adu t-Studenta to warto\u015b\u0107 znaleziona w miejscu styku wiersza i kolumny z poprzednich krok\u00f3w.<\/span><\/li>\n<\/ol>\n

    Na przyk\u0142ad warto\u015b\u0107 rozk\u0142adu t-Studenta z pi\u0119cioma stopniami swobody i 10% prawdopodobie\u0144stwem znalezienia warto\u015bci r\u00f3wnej lub wi\u0119kszej od tej wynosi 1,476. Poniewa\u017c jest to warto\u015b\u0107 w wierszu pi\u0119ciu stopni swobody i w kolumnie prawdopodobie\u0144stwa 10% (0,1).<\/p>\n<\/p>\n

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

    W tym artykule znajdziesz tabel\u0119 z charakterystycznymi warto\u015bciami rozk\u0142adu t-Studenta. Ponadto zostawiamy Ci kilka ma\u0142ych instrukcji, dzi\u0119ki kt\u00f3rym b\u0119dziesz m\u00f3g\u0142 poprawnie korzysta\u0107 z tabeli rozk\u0142adu Studenta. Warto\u015bci z tabeli rozk\u0142adu t Studenta Poni\u017cej znajduje si\u0119 tabela rozk\u0142adu Studenta . Wiersze odpowiadaj\u0105 stopniom swobody rozk\u0142adu t-Studenta, natomiast kolumny przedstawiaj\u0105 prawdopodobie\u0144stwa znalezienia warto\u015bci wi\u0119kszej lub r\u00f3wnej tabeli […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-216","post","type-post","status-publish","format-standard","hentry","category-prawdopodobienstwo"],"yoast_head":"\n\u25b7 Tablica rozk\u0142adu t-Studenta - Prawdopodobie\u0144stwo i statystyka<\/title>\n<meta name=\"description\" content=\"W tym artykule znajdziesz tabel\u0119 z charakterystycznymi warto\u015bciami rozk\u0142adu t-Studenta. 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