t Tabel (Distribusi t) df 1–100

Nilai kritis distribusi t Student. Contoh: df = 30, α 0,05 dua sisi → t tabel = 2,0423.

Pr (1 sisi)0.250.10.050.0250.010.0050.001
df \ 2 sisi0.50.20.10.050.020.010.002
11.00003.07776.313812.706231.820563.6567318.3088
20.81651.88562.92004.30276.96469.924822.3271
30.76491.63772.35343.18244.54075.840910.2145
40.74071.53322.13182.77643.74694.60417.1732
50.72671.47592.01502.57063.36494.03215.8934
60.71761.43981.94322.44693.14273.70745.2076
70.71111.41491.89462.36462.99803.49954.7853
80.70641.39681.85952.30602.89653.35544.5008
90.70271.38301.83312.26222.82143.24984.2968
100.69981.37221.81252.22812.76383.16934.1437
110.69741.36341.79592.20102.71813.10584.0247
120.69551.35621.78232.17882.68103.05453.9296
130.69381.35021.77092.16042.65033.01233.8520
140.69241.34501.76132.14482.62452.97683.7874
150.69121.34061.75312.13142.60252.94673.7328
160.69011.33681.74592.11992.58352.92083.6862
170.68921.33341.73962.10982.56692.89823.6458
180.68841.33041.73412.10092.55242.87843.6105
190.68761.32771.72912.09302.53952.86093.5794
200.68701.32531.72472.08602.52802.84533.5518
210.68641.32321.72072.07962.51762.83143.5272
220.68581.32121.71712.07392.50832.81883.5050
230.68531.31951.71392.06872.49992.80733.4850
240.68481.31781.71092.06392.49222.79693.4668
250.68441.31631.70812.05952.48512.78743.4502
260.68401.31501.70562.05552.47862.77873.4350
270.68371.31371.70332.05182.47272.77073.4210
280.68341.31251.70112.04842.46712.76333.4082
290.68301.31141.69912.04522.46202.75643.3962
300.68281.31041.69732.04232.45732.75003.3852
310.68251.30951.69552.03952.45282.74403.3749
320.68221.30861.69392.03692.44872.73853.3653
330.68201.30771.69242.03452.44482.73333.3563
340.68181.30701.69092.03222.44112.72843.3479
350.68161.30621.68962.03012.43772.72383.3400
360.68141.30551.68832.02812.43452.71953.3326
370.68121.30491.68712.02622.43142.71543.3256
380.68101.30421.68602.02442.42862.71163.3190
390.68081.30361.68492.02272.42582.70793.3128
400.68071.30311.68392.02112.42332.70453.3069
410.68051.30251.68292.01952.42082.70123.3013
420.68041.30201.68202.01812.41852.69813.2960
430.68021.30161.68112.01672.41632.69513.2909
440.68011.30111.68022.01542.41412.69233.2861
450.68001.30061.67942.01412.41212.68963.2815
460.67991.30021.67872.01292.41022.68703.2771
470.67971.29981.67792.01172.40832.68463.2729
480.67961.29941.67722.01062.40662.68223.2689
490.67951.29911.67662.00962.40492.68003.2651
500.67941.29871.67592.00862.40332.67783.2614
510.67931.29841.67532.00762.40172.67573.2579
520.67921.29801.67472.00662.40022.67373.2545
530.67911.29771.67412.00572.39882.67183.2513
540.67911.29741.67362.00492.39742.67003.2481
550.67901.29711.67302.00402.39612.66823.2451
560.67891.29691.67252.00322.39482.66653.2423
570.67881.29661.67202.00252.39362.66493.2395
580.67871.29631.67162.00172.39242.66333.2368
590.67871.29611.67112.00102.39122.66183.2342
600.67861.29581.67062.00032.39012.66033.2317
610.67851.29561.67021.99962.38902.65893.2293
620.67851.29541.66981.99902.38802.65753.2270
630.67841.29511.66941.99832.38702.65613.2247
640.67831.29491.66901.99772.38602.65493.2225
650.67831.29471.66861.99712.38512.65363.2204
660.67821.29451.66831.99662.38422.65243.2184
670.67821.29431.66791.99602.38332.65123.2164
680.67811.29411.66761.99552.38242.65013.2145
690.67811.29391.66721.99492.38162.64903.2126
700.67801.29381.66691.99442.38082.64793.2108
710.67801.29361.66661.99392.38002.64693.2090
720.67791.29341.66631.99352.37932.64593.2073
730.67791.29331.66601.99302.37852.64493.2057
740.67781.29311.66571.99252.37782.64393.2041
750.67781.29291.66541.99212.37712.64303.2025
760.67771.29281.66521.99172.37642.64213.2010
770.67771.29261.66491.99132.37582.64123.1995
780.67761.29251.66461.99082.37512.64033.1980
790.67761.29241.66441.99052.37452.63953.1966
800.67761.29221.66411.99012.37392.63873.1953
810.67751.29211.66391.98972.37332.63793.1939
820.67751.29201.66361.98932.37272.63713.1926
830.67751.29181.66341.98902.37212.63643.1913
840.67741.29171.66321.98862.37162.63563.1901
850.67741.29161.66301.98832.37102.63493.1889
860.67741.29151.66281.98792.37052.63423.1877
870.67731.29141.66261.98762.37002.63353.1866
880.67731.29121.66241.98732.36952.63293.1854
890.67731.29111.66221.98702.36902.63223.1843
900.67721.29101.66201.98672.36852.63163.1833
910.67721.29091.66181.98642.36802.63093.1822
920.67721.29081.66161.98612.36762.63033.1812
930.67711.29071.66141.98582.36712.62973.1802
940.67711.29061.66121.98552.36672.62913.1792
950.67711.29051.66111.98532.36622.62863.1782
960.67711.29041.66091.98502.36582.62803.1773
970.67701.29031.66071.98472.36542.62753.1764
980.67701.29021.66061.98452.36502.62693.1755
990.67701.29021.66041.98422.36462.62643.1746
1000.67701.29011.66021.98402.36422.62593.1737

Menentukan df untuk t tabel

Contoh regresi: n = 100 responden, k = 3 → df = 96 → t tabel (0,05; dua sisi) = 1,9850. Bila |t hitung| > t tabel maka variabel berpengaruh signifikan.

Semakin besar df, nilai t mendekati distribusi normal baku (1,96 untuk α 0,05 dua sisi). Pada df 100, t tabel 0,05 dua sisi = 1,9840.

Pertanyaan yang sering diajukan

Apa beda t tabel satu sisi dan dua sisi?

Dua sisi membagi α ke kedua ekor distribusi, jadi t tabel 0,05 dua sisi = t tabel 0,025 satu sisi.

Bagaimana mencari t tabel di Excel?

Gunakan =T.INV.2T(0,05; df) untuk dua sisi atau =T.INV(0,95; df) untuk satu sisi.

Berapa t tabel df 30?

Dua sisi α 0,05: 2,042; satu sisi α 0,05: 1,697.

Bagaimana jika df saya tidak ada di tabel?

Gunakan pencari di atas yang menghitung nilai tepat untuk df berapa pun.

Alat terkait

Seluruh nilai pada halaman ini dihitung langsung dari fungsi distribusi (bukan disalin dari buku), dengan ketelitian 4 desimal.