{"Above the other group's mean":"Di atas rata-rata kelompok lain","Cohen's d":"Cohen's d","Cohen's d is the difference in means divided by the pooled standard deviation, so it says how big a difference is in units of spread, independent of sample size. Cohen's rough guide calls 0.2 small, 0.5 medium, and 0.8 large; what matters in practice depends on the field. Hedges' g removes the slight upward bias of d in small samples, and r expresses the same effect as a correlation.":"Cohen's d adalah selisih rata-rata yang dibagi dengan simpangan baku gabungan, sehingga menunjukkan besarnya perbedaan dalam satuan sebaran, terlepas dari ukuran sampel. Panduan kasar Cohen menganggap 0.2 kecil, 0.5 sedang, dan 0.8 besar; arti pentingnya dalam praktik bergantung pada bidangnya. Hedges' g menghilangkan sedikit bias ke atas pada d dalam sampel kecil, sedangkan r menyatakan efek yang sama sebagai korelasi.","Cohen's U3":"Cohen's U3","corrected for small samples":"dikoreksi untuk sampel kecil","Correlation calculator":"Kalkulator korelasi","Correlation r":"Korelasi r","Degrees of freedom":"Derajat kebebasan","Degrees of freedom 1 (numerator)":"Derajat kebebasan 1 (pembilang)","Degrees of freedom 2 (denominator)":"Derajat kebebasan 2 (penyebut)","Distribution":"Distribusi","Distribution overlap":"Tumpang tindih distribusi","Effect size calculator":"Kalkulator ukuran efek","Enter a statistic of zero or more and both degrees of freedom.":"Masukkan statistik bernilai nol atau lebih serta kedua derajat kebebasan.","Enter a statistic of zero or more and the degrees of freedom.":"Masukkan statistik bernilai nol atau lebih serta derajat kebebasan.","Enter both means, SDs above zero, and group sizes of at least 2.":"Masukkan kedua rata-rata, SD di atas nol, dan ukuran kelompok minimal 2.","Enter the degrees of freedom.":"Masukkan derajat kebebasan.","Enter the same number of X and Y values, at least three of each.":"Masukkan jumlah nilai X dan Y yang sama, minimal tiga untuk masing-masing.","Enter the test statistic.":"Masukkan statistik uji.","F":"F","Fitted":"Hasil fitting","for two normal distributions":"untuk dua distribusi normal","Hedges' g":"Hedges' g","Intercept":"Intersep","large":"besar","Least squares picks the line that makes the squared vertical distances from the points as small as possible: slope = Σ(x − x̄)(y − ȳ) ÷ Σ(x − x̄)², and the line passes through the means. R² is the share of Y's variation the line explains. Predictions outside the range of your X values are guesses, and a pattern in the residuals means a straight line is the wrong shape.":"Metode kuadrat terkecil memilih garis yang membuat jarak vertikal kuadrat dari titik-titik menjadi sekecil mungkin: kemiringan = Σ(x − x̄)(y − ȳ) ÷ Σ(x − x̄)², dan garis tersebut melewati rata-rata. R² adalah bagian variasi Y yang dapat dijelaskan oleh garis. Prediksi di luar rentang nilai X Anda hanyalah perkiraan, dan pola pada residual menunjukkan bahwa garis lurus bukan bentuk yang tepat.","Left tail (less)":"Ekor kiri (lebih kecil)","Line of best fit":"Garis kecocokan terbaik","Linear regression calculator":"Kalkulator regresi linear","Mean, group 1":"Rata-rata, kelompok 1","Mean, group 2":"Rata-rata, kelompok 2","medium":"sedang","moderate":"moderat","negligible":"dapat diabaikan","One of the lists has no variation, so the correlation is undefined.":"Salah satu daftar tidak memiliki variasi, sehingga korelasinya tidak terdefinisi.","p-value (right tail)":"p-value (ekor kanan)","P-value calculator":"Kalkulator p-value","Pairs":"Pasangan","Pearson's r":"r Pearson","Pearson's r measures how close the points lie to a straight line, from −1 to +1; Spearman's ρ does the same on the ranks, so it catches any steadily rising or falling relation and resists outliers. The p-values test whether the correlation is zero, using the t distribution. A correlation, however strong, does not show that one thing causes the other.":"r Pearson mengukur seberapa dekat titik-titik berada pada garis lurus, dari −1 hingga +1; Spearman's ρ melakukan hal yang sama pada peringkat, sehingga dapat menangkap hubungan yang terus meningkat atau menurun dan tidak mudah dipengaruhi outlier. p-value menguji apakah korelasi sama dengan nol menggunakan distribusi t. Seberapa pun kuatnya korelasi, hal itu tidak membuktikan bahwa satu hal menyebabkan hal lainnya.","Pooled SD":"SD gabungan","Predict Y at X =":"Prediksi Y pada X =","Predicted Y at X = {0}":"Y yang diprediksi pada X = {0}","Residual":"Residual","Right tail (greater)":"Ekor kanan (lebih besar)","Scatter plot":"Plot sebar","Scatter plot with the fitted line":"Plot sebar dengan garis hasil fitting","SD, group 1":"SD, kelompok 1","SD, group 2":"SD, kelompok 2","SE {0}":"SE {0}","SE {0}, {1}":"SE {0}, {1}","share of the variation in Y explained":"bagian variasi Y yang dijelaskan","share of variance in common":"bagian varians yang sama","Size, group 1":"Ukuran, kelompok 1","Size, group 2":"Ukuran, kelompok 2","Slope":"Kemiringan","small":"kecil","Spearman's ρ":"Spearman's ρ","strong":"kuat","t (Student)":"t (Student)","Test statistic":"Statistik uji","The p-value is the probability of a statistic at least this extreme if the null hypothesis were true. For z and t, the two-sided value counts both tails; use a one-sided value only if the direction was decided before seeing the data. χ² and F tests use the right tail. The distributions are computed in the browser and match statistical software to many decimal places.":"p-value adalah probabilitas munculnya statistik yang setidaknya seekstrem ini jika hipotesis nol benar. Untuk z dan t, nilai dua sisi menghitung kedua ekor; gunakan nilai satu sisi hanya jika arahnya telah ditentukan sebelum melihat data. Uji χ² dan F menggunakan ekor kanan. Distribusi dihitung di browser dan sesuai dengan software statistik hingga banyak angka desimal.","The X values are all the same, so no line can be fitted.":"Semua nilai X sama, sehingga tidak ada garis yang dapat di-fitting.","Two-sided p":"p dua sisi","very strong":"sangat kuat","weak":"lemah","X values":"Nilai X","Y values, in the same order":"Nilai Y, dalam urutan yang sama","z (normal)":"z (normal)","χ² (chi-square)":"χ² (chi-square)"}