{"{0} expected counts are below 5, so the χ² approximation may be poor; Fisher's exact test is better for small tables.":"{0} hitungan harapan berada di bawah 5, sehingga aproksimasi χ² mungkin kurang akurat; uji eksak Fisher lebih baik untuk tabel kecil.","A t-test asks whether a mean differs from a value, or two means from each other, more than chance would explain. Welch's test does not assume equal variances and is the safer default for two groups; the paired test compares two measurements on the same subjects. It assumes roughly normal data or reasonably large samples. A small p-value says the difference is unlikely to be chance, not that it is large or important.":"Uji-t menilai apakah suatu mean berbeda dari sebuah nilai, atau dua mean berbeda satu sama lain, lebih dari yang dapat dijelaskan oleh kebetulan. Uji Welch tidak mengasumsikan varians yang sama dan merupakan pilihan default yang lebih aman untuk dua kelompok; uji berpasangan membandingkan dua pengukuran pada subjek yang sama. Uji ini mengasumsikan data yang kira-kira berdistribusi normal atau sampel yang cukup besar. p-value kecil menunjukkan bahwa perbedaan tersebut kemungkinan kecil terjadi karena kebetulan, bukan bahwa perbedaannya besar atau penting.","A z-score says how many standard deviations a value lies from the mean: z = (value − mean) ÷ standard deviation. For a normal distribution, the percentile is the share of values below it: z = 1 is the 84th percentile, z = 1.96 the 97.5th, and z = −1 the 16th. Percentiles are only accurate when the data really are close to normal.":"Z-score menunjukkan berapa simpangan baku jarak suatu nilai dari mean: z = (nilai − mean) ÷ simpangan baku. Dalam distribusi normal, persentil adalah proporsi nilai di bawahnya: z = 1 adalah persentil ke-84, z = 1.96 persentil ke-97.5, dan z = −1 persentil ke-16. Persentil hanya akurat jika data benar-benar mendekati distribusi normal.","Above this value":"Di atas nilai ini","After (same subjects, same order)":"Sesudah (subjek sama, urutan sama)","Alternative":"Alternatif","Before (or first measurement)":"Sebelum (atau pengukuran pertama)","Below this value":"Di bawah nilai ini","Between groups":"Antarkelompok","both tails":"kedua ekor","Category":"Kategori","Chi-square calculator":"Kalkulator chi-square","Counts: one row per line, columns separated by spaces":"Hitungan: satu baris per baris, kolom dipisahkan dengan spasi","Cramér's V":"V Cramér","Degrees of freedom":"Derajat kebebasan","Enter a number.":"Masukkan angka.","Enter a table of at least 2 × 2 counts, with the same number of columns in every row.":"Masukkan tabel hitungan berukuran minimal 2 × 2, dengan jumlah kolom yang sama di setiap baris.","Enter a value, a mean, and a standard deviation above zero.":"Masukkan nilai, mean, dan simpangan baku di atas nol.","Enter at least two counts of zero or more.":"Masukkan minimal dua hitungan yang bernilai nol atau lebih.","Enter at least two groups, each with at least two values, one group per line.":"Masukkan minimal dua kelompok, masing-masing dengan minimal dua nilai, satu kelompok per baris.","Enter at least two values in each group.":"Masukkan minimal dua nilai di setiap kelompok.","Enter the value to compare with.":"Masukkan nilai pembanding.","Expected":"Harapan","Expected counts if rows and columns were independent":"Hitungan harapan jika baris dan kolom saling independen","Expected proportions (optional; equal if empty)":"Proporsi harapan (opsional; sama jika kosong)","Further from the mean":"Lebih jauh dari mean","Give one expected proportion above zero for each count, or leave it empty.":"Masukkan satu proporsi harapan di atas nol untuk setiap hitungan, atau biarkan kosong.","Goodness of fit":"Kecocokan model","Greater (>)":"Lebih besar (>)","Group":"Kelompok","Group A values":"Nilai kelompok A","Group B values":"Nilai kelompok B","Independence (table)":"Independensi (tabel)","Less (<)":"Lebih kecil (<)","Mean":"Mean","Mean difference":"Perbedaan mean","Means":"Rata-rata","Normal curve with the area below z shaded":"Kurva normal dengan area di bawah z diarsir","Not significant at the 5% level (p ≥ 0.05): the data are consistent with no real difference.":"Tidak signifikan pada tingkat 5% (p ≥ 0.05): data konsisten dengan tidak adanya perbedaan nyata.","Observed":"Teramati","Observed counts":"Hitungan teramati","One group per line, values separated by spaces or commas":"Satu kelompok per baris, nilai dipisahkan dengan spasi atau koma","One sample":"Satu sampel","One-way analysis of variance tests whether several group means are all equal, by comparing the variation between groups with the variation within them: F = MS between ÷ MS within. A small p-value says at least one mean differs, not which; follow up with pairwise tests and a correction such as Tukey's or Bonferroni's. It assumes independent observations, roughly normal data, and similar variances.":"Analisis varians satu arah menguji apakah mean beberapa kelompok semuanya sama, dengan membandingkan variasi antarkelompok dan variasi di dalam kelompok: F = MS antarkelompok ÷ MS dalam kelompok. p-value kecil menunjukkan bahwa setidaknya satu mean berbeda, tetapi tidak menunjukkan mean yang mana; lanjutkan dengan uji berpasangan dan koreksi seperti Tukey atau Bonferroni. Uji ini mengasumsikan observasi independen, data yang kira-kira berdistribusi normal, dan varians yang serupa.","One-way ANOVA calculator":"Kalkulator ANOVA satu arah","p-value":"p-value","Paired samples":"Sampel berpasangan","Paired samples need the same number of values in both lists ({0} and {1}).":"Sampel berpasangan harus memiliki jumlah nilai yang sama di kedua daftar ({0} dan {1}).","percentile":"persentil","Percentile (%)":"Persentil (%)","Percentile to z":"Persentil ke z","Sample mean":"Mean sampel","Sample values":"Nilai sampel","SD {0} and {1}":"SD {0} dan {1}","SD {0}, n = {1}":"SD {0}, n = {1}","share of variance between groups":"proporsi varians antarkelompok","Significant at the 5% level (p < 0.05): the result would be unlikely if there were no real difference.":"Signifikan pada tingkat 5% (p < 0.05): hasil ini kemungkinan kecil terjadi jika tidak ada perbedaan nyata.","Source":"Sumber variasi","Standard deviation":"Simpangan baku","strength of association, 0 to 1":"kekuatan hubungan, 0 hingga 1","T-test calculator":"Kalkulator uji-t","Test":"Uji","The χ² test compares observed counts with the counts expected if there were no effect: χ² = Σ (observed − expected)² ÷ expected. The test of independence asks whether two categorical variables are related, from a table of counts; goodness of fit asks whether counts follow given proportions. Use raw counts, not percentages, and no continuity correction is applied.":"Uji χ² membandingkan hitungan teramati dengan hitungan yang diharapkan jika tidak ada efek: χ² = Σ (teramati − harapan)² ÷ harapan. Uji independensi menilai apakah dua variabel kategorikal saling berhubungan berdasarkan tabel hitungan; uji kecocokan model menilai apakah hitungan mengikuti proporsi yang diberikan. Gunakan hitungan mentah, bukan persentase, dan tidak ada koreksi kontinuitas yang diterapkan.","Two samples (equal variances)":"Dua sampel (varians sama)","Two samples (Welch)":"Dua sampel (Welch)","Two-sided (≠)":"Dua sisi (≠)","Value":"Nilai","Value to compare with (μ₀)":"Nilai pembanding (μ₀)","Value to z":"Nilai ke z","Within groups":"Dalam kelompok","Work out":"Hitung","Z to percentile":"Z ke persentil","Z-score":"Z-score","Z-score calculator":"Kalkulator Z-score"}