{"component":"penn-stat415","decision":"field term","en_US":"mathematical statistics","id":"O006-TERM-0001","id_ID":"statistika matematis"}
{"component":"penn-stat415","decision":"standard Indonesian mathematical usage","en_US":"probability","id":"O006-TERM-0002","id_ID":"peluang"}
{"component":"penn-stat415","decision":"probability-theory event","en_US":"event","id":"O006-TERM-0003","id_ID":"kejadian"}
{"component":"penn-stat415","decision":"standard term","en_US":"sample space","id":"O006-TERM-0004","id_ID":"ruang sampel"}
{"component":"penn-stat415","decision":"consistent formal Indonesian usage","en_US":"random variable","id":"O006-TERM-0005","id_ID":"peubah acak"}
{"component":"penn-stat415","decision":"standard term","en_US":"random sample","id":"O006-TERM-0006","id_ID":"sampel acak"}
{"component":"penn-stat415","decision":"do not use independent","en_US":"mutually exclusive","id":"O006-TERM-0007","id_ID":"saling lepas"}
{"component":"penn-stat415","decision":"probabilistic independence","en_US":"independent","id":"O006-TERM-0008","id_ID":"bebas"}
{"component":"penn-stat415","decision":"distribution support","en_US":"support","id":"O006-TERM-0009","id_ID":"himpunan dukungan"}
{"component":"penn-stat415","decision":"retain abbreviation","en_US":"probability mass function","id":"O006-TERM-0010","id_ID":"fungsi massa peluang (PMF)"}
{"component":"penn-stat415","decision":"retain abbreviation","en_US":"probability density function","id":"O006-TERM-0011","id_ID":"fungsi kepadatan peluang (PDF)"}
{"component":"penn-stat415","decision":"retain abbreviation","en_US":"cumulative distribution function","id":"O006-TERM-0012","id_ID":"fungsi distribusi kumulatif (CDF)"}
{"component":"penn-stat415","decision":"distinct from mean","en_US":"expectation","id":"O006-TERM-0013","id_ID":"nilai harapan"}
{"component":"penn-stat415","decision":"distinct from expectation operation","en_US":"mean","id":"O006-TERM-0014","id_ID":"rataan"}
{"component":"penn-stat415","decision":"standard term","en_US":"joint distribution","id":"O006-TERM-0015","id_ID":"distribusi bersama"}
{"component":"penn-stat415","decision":"standard term","en_US":"marginal distribution","id":"O006-TERM-0016","id_ID":"distribusi marginal"}
{"component":"penn-stat415","decision":"standard term","en_US":"conditional distribution","id":"O006-TERM-0017","id_ID":"distribusi bersyarat"}
{"component":"penn-stat415","decision":"object/statistic","en_US":"estimator","id":"O006-TERM-0018","id_ID":"penduga"}
{"component":"penn-stat415","decision":"realized value","en_US":"estimate","id":"O006-TERM-0019","id_ID":"nilai dugaan"}
{"component":"penn-stat415","decision":"process","en_US":"estimation","id":"O006-TERM-0020","id_ID":"pendugaan"}
{"component":"penn-stat415","decision":"standard term","en_US":"standard error","id":"O006-TERM-0021","id_ID":"galat baku"}
{"component":"penn-stat415","decision":"corpus convention","en_US":"confidence interval","id":"O006-TERM-0022","id_ID":"selang kepercayaan"}
{"component":"penn-stat415","decision":"distinguish Bayesian interval","en_US":"credible interval","id":"O006-TERM-0023","id_ID":"selang kredibel"}
{"component":"penn-stat415","decision":"standard term","en_US":"hypothesis testing","id":"O006-TERM-0024","id_ID":"pengujian hipotesis"}
{"component":"penn-stat415","decision":"retain likelihood parenthetically on first use","en_US":"likelihood","id":"O006-TERM-0025","id_ID":"fungsi kemungkinan"}
{"component":"penn-stat415","decision":"retain MLE","en_US":"maximum likelihood estimation","id":"O006-TERM-0026","id_ID":"pendugaan kemungkinan maksimum (MLE)"}
{"component":"penn-stat415","decision":"existing lane convention","en_US":"central limit theorem","id":"O006-TERM-0027","id_ID":"Teorema Limit Pusat"}
{"component":"penn-stat415","decision":"standard term","en_US":"degrees of freedom","id":"O006-TERM-0028","id_ID":"derajat kebebasan"}
{"component":"penn-stat415","decision":"Indonesian spelling","en_US":"chi-square","id":"O006-TERM-0029","id_ID":"khi-kuadrat"}
{"component":"penn-stat415","decision":"Exact-topic Indonesian field usage; statistik terurut remains a documented legacy alias in the separate Random edition","en_US":"order statistic(s)","id":"O006-TERM-0030","id_ID":"statistik urutan"}
{"component":"penn-stat415","decision":"distinguish the statistic from its realized value","en_US":"point estimator","id":"O006-TERM-0031","id_ID":"penduga titik"}
{"component":"penn-stat415","decision":"realized value of a point estimator","en_US":"point estimate","id":"O006-TERM-0032","id_ID":"nilai dugaan titik"}
{"component":"penn-stat415","decision":"standard mathematical-statistics term","en_US":"parameter space","id":"O006-TERM-0033","id_ID":"ruang parameter"}
{"component":"penn-stat415","decision":"estimator property","en_US":"bias","id":"O006-TERM-0034","id_ID":"bias"}
{"component":"penn-stat415","decision":"formal Indonesian mathematical-statistics usage","en_US":"unbiased estimator","id":"O006-TERM-0035","id_ID":"penduga tak bias"}
{"component":"penn-stat415","decision":"retain the established course convention","en_US":"variance","id":"O006-TERM-0036","id_ID":"varians"}
{"component":"penn-stat415","decision":"Indonesian university usage; retain MSE and distinguish from ANOVA mean-square labels","en_US":"mean squared error","id":"O006-TERM-0037","id_ID":"rataan kuadrat galat (MSE)"}
{"component":"penn-stat415","decision":"estimator convergence property","en_US":"consistency","id":"O006-TERM-0038","id_ID":"konsistensi"}
{"component":"penn-stat415","decision":"formal Indonesian mathematical-statistics usage","en_US":"sufficient statistic","id":"O006-TERM-0039","id_ID":"statistik cukup"}
{"component":"penn-stat415","decision":"criterion for sufficiency","en_US":"factorization theorem","id":"O006-TERM-0040","id_ID":"teorema faktorisasi"}
{"component":"penn-stat415","decision":"estimation method","en_US":"method of moments","id":"O006-TERM-0041","id_ID":"metode momen"}
{"component":"penn-stat415","decision":"relation between a statistic and parameter","en_US":"sufficient for theta","id":"O006-TERM-0042","id_ID":"cukup bagi theta"}
{"component":"penn-stat415","decision":"use dengan syarat Y when the conditioning object needs emphasis","en_US":"conditional distribution","id":"O006-TERM-0043","id_ID":"distribusi bersyarat"}
{"component":"penn-stat415","decision":"standard multivariate probability term","en_US":"joint probability density function","id":"O006-TERM-0044","id_ID":"fungsi kepadatan peluang bersama"}
{"component":"penn-stat415","decision":"standard discrete multivariate probability term","en_US":"joint probability mass function","id":"O006-TERM-0045","id_ID":"fungsi massa peluang bersama"}
{"component":"penn-stat415","decision":"injective; do not strengthen to bijective","en_US":"one-to-one function","id":"O006-TERM-0046","id_ID":"fungsi satu-satu"}
{"component":"penn-stat415","decision":"distinct from the exponential distribution","en_US":"exponential form","id":"O006-TERM-0047","id_ID":"bentuk eksponensial"}
{"component":"penn-stat415","decision":"sufficiency criterion","en_US":"exponential criterion","id":"O006-TERM-0048","id_ID":"Kriteria Eksponensial"}
{"component":"penn-stat415","decision":"distribution family; distinct from exponential distribution","en_US":"exponential family","id":"O006-TERM-0049","id_ID":"keluarga eksponensial"}
{"component":"penn-stat415","decision":"use pasangan statistik when exactly two are named","en_US":"jointly sufficient statistics","id":"O006-TERM-0050","id_ID":"statistik yang secara bersama-sama cukup"}
{"component":"penn-stat415","decision":"population-distribution moment","en_US":"theoretical moment","id":"O006-TERM-0051","id_ID":"momen teoretis"}
{"component":"penn-stat415","decision":"raw-moment concept","en_US":"moment about the origin","id":"O006-TERM-0052","id_ID":"momen terhadap titik asal"}
{"component":"penn-stat415","decision":"introduce momen pusat as the concise alias","en_US":"moment about the mean","id":"O006-TERM-0053","id_ID":"momen terhadap rataan (momen pusat)"}
{"component":"penn-stat415","decision":"sample analogue of a theoretical moment","en_US":"sample moment","id":"O006-TERM-0054","id_ID":"momen sampel"}
{"component":"penn-stat415","decision":"standard statistical term","en_US":"empirical distribution","id":"O006-TERM-0055","id_ID":"distribusi empiris"}
{"component":"penn-stat415","decision":"special function Gamma","en_US":"gamma function","id":"O006-TERM-0056","id_ID":"fungsi gamma"}
{"component":"penn-stat415","decision":"retain likelihood parenthetically on first use where useful","en_US":"likelihood function","id":"O006-TERM-0057","id_ID":"fungsi kemungkinan"}
{"component":"penn-stat415","decision":"random statistic; retain MLE to match source notation and distinguish it from the realized estimate","en_US":"maximum likelihood estimator","id":"O006-TERM-0058","id_ID":"penduga kemungkinan maksimum (MLE)"}
{"component":"penn-stat415","decision":"realized observed value; do not collapse it into the estimator","en_US":"maximum likelihood estimate","id":"O006-TERM-0059","id_ID":"nilai dugaan kemungkinan maksimum"}
{"component":"penn-stat415","decision":"attested Indonesian field form; unhyphenated fungsi log kemungkinan is a documented variant","en_US":"log-likelihood function","id":"O006-TERM-0060","id_ID":"fungsi log-kemungkinan"}
{"component":"penn-stat415","decision":"event indicator; preserve the bold-one notation and event subscript","en_US":"indicator function","id":"O006-TERM-0061","id_ID":"fungsi indikator"}
{"component":"penn-stat415","decision":"precise replacement for the source's imprecise parameter-in-the-support wording; do not use parameter dukungan","en_US":"parameter-dependent support","id":"O006-TERM-0062","id_ID":"himpunan dukungan yang bergantung pada parameter"}
{"component":"penn-stat415","decision":"continue the wording already used in Lesson 02; model satu parameter is an acceptable explanatory variant","en_US":"single-parameter model","id":"O006-TERM-0063","id_ID":"model berparameter tunggal"}
{"component":"penn-stat415","decision":"means more than one unknown parameter; use model dengan lebih dari satu parameter in explanatory prose and avoid berparameter ganda when p is unrestricted","en_US":"multiparameter model","id":"O006-TERM-0064","id_ID":"model multiparameter"}
{"component":"penn-stat415","decision":"formal computational term; optimasi numerik is a documented variant","en_US":"numerical optimization","id":"O006-TERM-0065","id_ID":"optimisasi numerik"}
{"component":"penn-stat415","decision":"attested Indonesian technical usage; retain grid search parenthetically on first use","en_US":"grid search","id":"O006-TERM-0066","id_ID":"pencarian grid"}
{"component":"penn-stat415","decision":"a maximizer over a finite grid is not automatically the exact MLE","en_US":"grid-search approximation","id":"O006-TERM-0067","id_ID":"hampiran berbasis pencarian grid"}
{"component":"penn-stat415","decision":"root-finding method applied here to the likelihood score","en_US":"Newton–Raphson method","id":"O006-TERM-0068","id_ID":"metode Newton–Raphson"}
{"component":"penn-stat415","decision":"derivative of the log-likelihood; do not confuse with an assessment score","en_US":"score function","id":"O006-TERM-0069","id_ID":"fungsi skor"}
{"component":"penn-stat415","decision":"numerical solution of h(theta)=0","en_US":"root finding","id":"O006-TERM-0070","id_ID":"pencarian akar"}
{"component":"penn-stat415","decision":"means minus the log-likelihood; not a likelihood that is negative","en_US":"negative log-likelihood","id":"O006-TERM-0071","id_ID":"negatif fungsi log-kemungkinan (NLL)"}
{"component":"penn-stat415","decision":"function minimized or maximized by an optimizer","en_US":"objective function","id":"O006-TERM-0072","id_ID":"fungsi objektif"}
{"component":"penn-stat415","decision":"initial numerical guess; not a domain constraint","en_US":"starting value","id":"O006-TERM-0073","id_ID":"nilai awal"}
{"component":"penn-stat415","decision":"one algorithmic update; distinguish from a function evaluation","en_US":"iteration","id":"O006-TERM-0074","id_ID":"iterasi"}
{"component":"penn-stat415","decision":"one call to the objective or derivative; not an iteration count","en_US":"function evaluation","id":"O006-TERM-0075","id_ID":"evaluasi fungsi"}
{"component":"penn-stat415","decision":"algorithmic stopping condition; not proof of a global optimum","en_US":"convergence criterion","id":"O006-TERM-0076","id_ID":"kriteria konvergensi"}
{"component":"penn-stat415","decision":"for the exponential model lambda is reciprocal to the mean or scale","en_US":"rate parameter","id":"O006-TERM-0077","id_ID":"parameter laju"}
{"component":"penn-stat415","decision":"for the exponential mean parameterization theta equals the scale and 1 over the rate","en_US":"scale parameter","id":"O006-TERM-0078","id_ID":"parameter skala"}
{"component":"penn-stat415","decision":"do not confuse with standard error or galat baku","en_US":"standard deviation","id":"O006-TERM-0079","id_ID":"simpangan baku"}
{"component":"penn-stat415","decision":"single numerical object in mathematical or R context","en_US":"scalar","id":"O006-TERM-0080","id_ID":"skalar"}
{"component":"penn-stat415","decision":"ordered one-dimensional object; preserve executable R identifiers","en_US":"vector","id":"O006-TERM-0081","id_ID":"vektor"}
{"component":"penn-stat415","decision":"reader term; preserve data.frame as the executable R constructor","en_US":"data frame","id":"O006-TERM-0082","id_ID":"kerangka data (data frame)"}
{"component":"penn-stat415","decision":"distribution quantile; preserve qXXX R function names","en_US":"quantile","id":"O006-TERM-0083","id_ID":"kuantil"}
{"component":"penn-stat415","decision":"descriptive summaries such as minimum median mean and maximum","en_US":"summary statistics","id":"O006-TERM-0084","id_ID":"statistik ringkasan"}
{"component":"penn-stat415","decision":"proportion 1-alpha rather than the percentage confidence level","en_US":"confidence coefficient","id":"O006-TERM-0085","id_ID":"koefisien kepercayaan"}
{"component":"penn-stat415","decision":"percentage (1-alpha)100 percent rather than significance level alpha","en_US":"confidence level","id":"O006-TERM-0086","id_ID":"tingkat kepercayaan"}
{"component":"penn-stat415","decision":"process of constructing an interval-valued inferential procedure","en_US":"interval estimation","id":"O006-TERM-0087","id_ID":"pendugaan selang"}
{"component":"penn-stat415","decision":"random interval-valued rule before data are observed","en_US":"interval estimator","id":"O006-TERM-0088","id_ID":"penduga selang"}
{"component":"penn-stat415","decision":"introduce the English term in parentheses once and index kuantitas pivotal as an alias","en_US":"pivotal quantity","id":"O006-TERM-0089","id_ID":"besaran pivot"}
{"component":"penn-stat415","decision":"repeated-sampling probability that the random interval covers the fixed parameter","en_US":"coverage probability","id":"O006-TERM-0090","id_ID":"peluang cakupan"}
{"component":"penn-stat415","decision":"fixed distribution quantile and not the random variable itself","en_US":"critical value","id":"O006-TERM-0091","id_ID":"nilai kritis"}
{"component":"penn-stat415","decision":"use lower or upper qualifiers when the direction matters","en_US":"confidence bounds","id":"O006-TERM-0092","id_ID":"batas selang kepercayaan"}
{"component":"penn-stat415","decision":"retain the standard abbreviation MGF","en_US":"moment-generating function","id":"O006-TERM-0093","id_ID":"fungsi pembangkit momen (MGF)"}
{"component":"penn-stat415","decision":"retain capital Z in the conventional procedure label","en_US":"Z-interval","id":"O006-TERM-0094","id_ID":"selang-Z"}
{"component":"penn-stat415","decision":"general limiting distribution; do not imply normality unless stated","en_US":"asymptotic distribution","id":"O006-TERM-0095","id_ID":"distribusi asimtotik"}
{"component":"penn-stat415","decision":"use secara asimtotik berdistribusi Normal when clearer in prose","en_US":"asymptotic normality","id":"O006-TERM-0096","id_ID":"normalitas asimtotik"}
{"component":"penn-stat415","decision":"consistency is convergence in probability here and does not alone imply expectation convergence","en_US":"consistent estimator","id":"O006-TERM-0097","id_ID":"penduga konsisten"}
{"component":"penn-stat415","decision":"estimator transformation property under its stated conditions","en_US":"equivariance / equivariant","id":"O006-TERM-0098","id_ID":"sifat ekuivarian / ekuivarian"}
{"component":"penn-stat415","decision":"preserve the source disclaimer when the condition list and proofs are incomplete","en_US":"regularity conditions","id":"O006-TERM-0099","id_ID":"syarat keteraturan"}
{"component":"penn-stat415","decision":"specify per-observation or full-sample scaling and distinguish observed information","en_US":"Fisher information","id":"O006-TERM-0100","id_ID":"informasi Fisher"}
{"component":"penn-stat415","decision":"multiparameter form with Fisher capitalized","en_US":"Fisher information matrix","id":"O006-TERM-0101","id_ID":"matriks informasi Fisher"}
{"component":"penn-stat415","decision":"preserve executable identifiers such as hessian and out$hessian","en_US":"Hessian matrix","id":"O006-TERM-0102","id_ID":"matriks Hessian"}
{"component":"penn-stat415","decision":"negative observed Hessian; use the English parenthetical on first occurrence","en_US":"observed information","id":"O006-TERM-0103","id_ID":"informasi teramati (observed information)"}
{"component":"penn-stat415","decision":"parameter-targeted Wald interval under stated regularity conditions","en_US":"asymptotic confidence interval","id":"O006-TERM-0104","id_ID":"selang kepercayaan asimtotik"}
{"component":"penn-stat415","decision":"write konvergen dalam peluang menuju theta in explanatory prose","en_US":"convergence in probability","id":"O006-TERM-0105","id_ID":"konvergensi dalam peluang"}
{"component":"penn-stat415","decision":"bilingual first use; sufficient with convergence in probability for the required L1 conclusion","en_US":"uniform integrability","id":"O006-TERM-0106","id_ID":"integrabilitas seragam (uniform integrability)"}
{"component":"penn-stat415","decision":"distinguish theoretical and estimated forms","en_US":"asymptotic standard error","id":"O006-TERM-0107","id_ID":"galat baku asimtotik"}
{"component":"penn-stat415","decision":"retain OR because formulas and estimator notation use it","en_US":"odds ratio","id":"O006-TERM-0108","id_ID":"rasio odds (OR)"}
{"component":"penn-stat415","decision":"explain once as E absolute estimator error tending to zero","en_US":"L1 convergence","id":"O006-TERM-0109","id_ID":"konvergensi dalam L1"}
{"component":"penn-stat415","decision":"retain the established method name unchanged","en_US":"bootstrap","id":"O006-TERM-0110","id_ID":"bootstrap"}
{"component":"penn-stat415","decision":"resample from the fitted parametric family","en_US":"parametric bootstrap","id":"O006-TERM-0111","id_ID":"bootstrap parametrik"}
{"component":"penn-stat415","decision":"resample from the empirical distribution","en_US":"nonparametric bootstrap","id":"O006-TERM-0112","id_ID":"bootstrap nonparametrik"}
{"component":"penn-stat415","decision":"a resampled or simulated dataset rather than the resulting estimate","en_US":"bootstrap sample","id":"O006-TERM-0113","id_ID":"sampel bootstrap"}
{"component":"penn-stat415","decision":"one repeated statistic or estimate computation","en_US":"bootstrap replicate","id":"O006-TERM-0114","id_ID":"replikasi bootstrap"}
{"component":"penn-stat415","decision":"use empirical endpoint quantiles and qualify parametric or nonparametric where needed","en_US":"percentile bootstrap confidence interval","id":"O006-TERM-0115","id_ID":"selang kepercayaan bootstrap persentil"}
{"component":"penn-stat415","decision":"introduce the English alias on first occurrence","en_US":"resampling","id":"O006-TERM-0116","id_ID":"pengambilan sampel ulang (resampling)"}
{"component":"penn-stat415","decision":"retain duplicate multiplicities in the empirical distribution","en_US":"sampling with replacement","id":"O006-TERM-0117","id_ID":"pengambilan sampel dengan pengembalian"}
{"component":"penn-stat415","decision":"first-order transformation limit theorem requiring differentiability at the target","en_US":"delta method","id":"O006-TERM-0118","id_ID":"metode delta"}
{"component":"penn-stat415","decision":"Pareto parameter a","en_US":"shape parameter","id":"O006-TERM-0119","id_ID":"parameter bentuk"}
{"component":"penn-stat415","decision":"Pareto lower endpoint L with support beginning at L","en_US":"location parameter","id":"O006-TERM-0120","id_ID":"parameter lokasi"}
{"component":"penn-stat415","decision":"do not state an asymptotic limit as finite-sample equality","en_US":"convergence in distribution","id":"O006-TERM-0121","id_ID":"konvergensi dalam distribusi"}
{"component":"penn-stat415","decision":"distinguish from the observed negative log-likelihood Hessian","en_US":"expected Fisher information","id":"O006-TERM-0122","id_ID":"informasi Fisher harapan"}
{"component":"penn-stat415","decision":"procedure; reserve pengujian hipotesis for the framework or process","en_US":"hypothesis test","id":"O006-TERM-0123","id_ID":"uji hipotesis"}
{"component":"penn-stat415","decision":"preserve H_0 and do not translate failure to reject as acceptance","en_US":"null hypothesis","id":"O006-TERM-0124","id_ID":"hipotesis nol"}
{"component":"penn-stat415","decision":"preserve H_a or H_1","en_US":"alternative hypothesis","id":"O006-TERM-0125","id_ID":"hipotesis alternatif"}
{"component":"penn-stat415","decision":"keep distinct from tingkat kepercayaan","en_US":"significance level","id":"O006-TERM-0126","id_ID":"tingkat signifikansi"}
{"component":"penn-stat415","decision":"distinguish the random statistic from its observed value","en_US":"test statistic","id":"O006-TERM-0127","id_ID":"statistik uji"}
{"component":"penn-stat415","decision":"introduce the parenthetical alias once","en_US":"rejection region","id":"O006-TERM-0128","id_ID":"daerah penolakan (daerah kritis)"}
{"component":"penn-stat415","decision":"decision language does not prove the alternative true","en_US":"reject the null hypothesis","id":"O006-TERM-0129","id_ID":"menolak hipotesis nol"}
{"component":"penn-stat415","decision":"never render as accepting the null","en_US":"fail to reject the null hypothesis","id":"O006-TERM-0130","id_ID":"gagal menolak hipotesis nol"}
{"component":"penn-stat415","decision":"rejecting the null when it is true","en_US":"Type I error","id":"O006-TERM-0131","id_ID":"galat tipe I"}
{"component":"penn-stat415","decision":"failing to reject at a specified true alternative","en_US":"Type II error","id":"O006-TERM-0132","id_ID":"galat tipe II"}
{"component":"penn-stat415","decision":"lowercase p with a hyphen in prose","en_US":"p-value","id":"O006-TERM-0133","id_ID":"nilai-p"}
{"component":"penn-stat415","decision":"retain dependence on the specified alternative parameter value","en_US":"power of a test","id":"O006-TERM-0134","id_ID":"kuasa uji"}
{"component":"penn-stat415","decision":"qualify the distribution tail as right or left","en_US":"one-tailed test","id":"O006-TERM-0135","id_ID":"uji satu sisi"}
{"component":"penn-stat415","decision":"allocate the significance level across both tails","en_US":"two-tailed test","id":"O006-TERM-0136","id_ID":"uji dua sisi"}
{"component":"penn-stat415","decision":"use ekor kanan for the shaded distribution tail","en_US":"right-tailed test","id":"O006-TERM-0137","id_ID":"uji sisi kanan"}
{"component":"penn-stat415","decision":"use ekor kiri for the shaded distribution tail","en_US":"left-tailed test","id":"O006-TERM-0138","id_ID":"uji sisi kiri"}
{"component":"penn-stat415","decision":"mandatory equality boundary in the p-value event","en_US":"at least as extreme","id":"O006-TERM-0139","id_ID":"sekurang-kurangnya sama ekstrem"}
{"component":"penn-stat415","decision":"null rejection probability rather than sample size","en_US":"size of a test","id":"O006-TERM-0140","id_ID":"ukuran uji"}
{"component":"penn-stat415","decision":"specify the rejection probability on the equality set","en_US":"randomized test","id":"O006-TERM-0141","id_ID":"uji teracak"}
{"component":"penn-stat415","decision":"outcomes exactly on the critical boundary","en_US":"equality set","id":"O006-TERM-0142","id_ID":"himpunan kesamaan"}
{"component":"penn-stat415","decision":"retain dependence on the alternative parameter and test direction","en_US":"power function","id":"O006-TERM-0143","id_ID":"fungsi kuasa"}
{"component":"penn-stat415","decision":"keep distinct from ukuran uji which means the null rejection probability","en_US":"sample size","id":"O006-TERM-0144","id_ID":"ukuran sampel"}
{"component":"penn-stat415","decision":"identify it as approximate and state its regularity and boundary limitations","en_US":"Wald test","id":"O006-TERM-0145","id_ID":"uji Wald"}
{"component":"penn-stat415","decision":"distinguish the sampled population from the target population","en_US":"sampling frame","id":"O006-TERM-0146","id_ID":"kerangka sampel"}
{"component":"penn-stat415","decision":"finite-sample law rather than a Normal or Wald approximation","en_US":"exact test","id":"O006-TERM-0147","id_ID":"uji eksak"}
{"component":"penn-stat415","decision":"actual null rejection probability does not exceed the nominal level","en_US":"conservative test","id":"O006-TERM-0148","id_ID":"uji konservatif"}
{"component":"penn-stat415","decision":"decision cutoff in a design calculation","en_US":"threshold value","id":"O006-TERM-0149","id_ID":"nilai ambang"}
{"component":"penn-stat415","decision":"person or organization conducting the poll","en_US":"pollster","id":"O006-TERM-0150","id_ID":"pelaksana jajak pendapat"}
{"component":"penn-stat415","decision":"retain the proper-name adjective and distinguish the framework from Bayes' theorem alone","en_US":"Bayesian methods","id":"O006-TERM-0151","id_ID":"metode Bayesian"}
{"component":"penn-stat415","decision":"standard contrast with the Bayesian approach; parameters remain fixed within the frequentist model","en_US":"frequentist approach","id":"O006-TERM-0152","id_ID":"pendekatan frekuentis"}
{"component":"penn-stat415","decision":"use peluang consistently with the existing probability terminology","en_US":"subjective probability","id":"O006-TERM-0153","id_ID":"peluang subjektif"}
{"component":"penn-stat415","decision":"distribution assigned before conditioning on the current data","en_US":"prior distribution","id":"O006-TERM-0154","id_ID":"distribusi prior"}
{"component":"penn-stat415","decision":"probability before conditioning on the current data","en_US":"prior probability","id":"O006-TERM-0155","id_ID":"peluang prior"}
{"component":"penn-stat415","decision":"conditional distribution after combining prior information and the likelihood","en_US":"posterior distribution","id":"O006-TERM-0156","id_ID":"distribusi posterior"}
{"component":"penn-stat415","decision":"probability under the posterior distribution","en_US":"posterior probability","id":"O006-TERM-0157","id_ID":"peluang posterior"}
{"component":"penn-stat415","decision":"continuous posterior surface; keep distinct from a posterior mass function","en_US":"posterior density","id":"O006-TERM-0158","id_ID":"fungsi kepadatan posterior"}
{"component":"penn-stat415","decision":"a decision rule minimizing posterior expected loss; use dugaan Bayes for its realized value","en_US":"Bayes estimator","id":"O006-TERM-0159","id_ID":"penduga Bayes"}
{"component":"penn-stat415","decision":"decision-theoretic cost assigned to an action and parameter value","en_US":"loss function","id":"O006-TERM-0160","id_ID":"fungsi kerugian"}
{"component":"penn-stat415","decision":"posterior mean minimizes its posterior expectation when finite","en_US":"squared-error loss","id":"O006-TERM-0161","id_ID":"kerugian galat kuadrat"}
{"component":"penn-stat415","decision":"a posterior median minimizes its posterior expectation","en_US":"absolute-error loss","id":"O006-TERM-0162","id_ID":"kerugian galat absolut"}
{"component":"penn-stat415","decision":"conditional mean under the posterior distribution","en_US":"posterior mean","id":"O006-TERM-0163","id_ID":"rataan posterior"}
{"component":"penn-stat415","decision":"any posterior median can minimize expected absolute-error loss","en_US":"posterior median","id":"O006-TERM-0164","id_ID":"median posterior"}
{"component":"penn-stat415","decision":"places alpha/2 posterior probability in each tail","en_US":"equal-tailed credible interval","id":"O006-TERM-0165","id_ID":"selang kredibel berekor sama"}
{"component":"penn-stat415","decision":"prior family yielding a posterior in the same distributional family","en_US":"conjugate prior","id":"O006-TERM-0166","id_ID":"prior konjugat"}
{"component":"penn-stat415","decision":"marginal data distribution obtained by integrating the likelihood against the prior","en_US":"prior predictive distribution","id":"O006-TERM-0167","id_ID":"distribusi prediktif prior"}
{"component":"penn-stat415","decision":"posterior expectation of the loss for a proposed action","en_US":"posterior expected loss","id":"O006-TERM-0168","id_ID":"kerugian posterior harapan"}
{"component":"penn-stat415","decision":"use linear consistently with formal mathematical Indonesian","en_US":"simple linear regression","id":"O006-TERM-0169","id_ID":"regresi linear sederhana"}
{"component":"penn-stat415","decision":"input or design coordinate without implying stochastic independence","en_US":"predictor / explanatory variable","id":"O006-TERM-0170","id_ID":"peubah prediktor / peubah penjelas"}
{"component":"penn-stat415","decision":"modeled outcome rather than a deterministic function unless stated","en_US":"response / outcome variable","id":"O006-TERM-0171","id_ID":"peubah respons / peubah hasil"}
{"component":"penn-stat415","decision":"exact relation contrasted with a statistical relationship","en_US":"deterministic / functional relationship","id":"O006-TERM-0172","id_ID":"hubungan deterministik / hubungan fungsional"}
{"component":"penn-stat415","decision":"conditional response varies around a mean relation","en_US":"statistical relationship","id":"O006-TERM-0173","id_ID":"hubungan statistis"}
{"component":"penn-stat415","decision":"reader-facing plot term","en_US":"scatterplot","id":"O006-TERM-0174","id_ID":"diagram pencar"}
{"component":"penn-stat415","decision":"name of the criterion or method","en_US":"least squares","id":"O006-TERM-0175","id_ID":"kuadrat terkecil"}
{"component":"penn-stat415","decision":"preserve statistic versus realized-value distinction","en_US":"least-squares estimator / estimate","id":"O006-TERM-0176","id_ID":"penduga / nilai dugaan kuadrat terkecil"}
{"component":"penn-stat415","decision":"residual-sum-of-squares objective","en_US":"least-squares criterion","id":"O006-TERM-0177","id_ID":"kriteria kuadrat terkecil"}
{"component":"penn-stat415","decision":"use for y-hat and distinguish from a future response prediction","en_US":"fitted value","id":"O006-TERM-0178","id_ID":"nilai suaian"}
{"component":"penn-stat415","decision":"observed response minus fitted value and introduce English once","en_US":"residual","id":"O006-TERM-0179","id_ID":"sisaan (residual)"}
{"component":"penn-stat415","decision":"distinguish the source quantity from out-of-sample prediction error","en_US":"prediction error","id":"O006-TERM-0180","id_ID":"galat prediksi"}
{"component":"penn-stat415","decision":"qualify fitted or population line in context","en_US":"regression line","id":"O006-TERM-0181","id_ID":"garis regresi"}
{"component":"penn-stat415","decision":"use intersep in formulas and explain the geometry once","en_US":"intercept","id":"O006-TERM-0182","id_ID":"intersep (titik potong)"}
{"component":"penn-stat415","decision":"coefficient multiplying the predictor","en_US":"slope","id":"O006-TERM-0183","id_ID":"kemiringan"}
{"component":"penn-stat415","decision":"xi minus xbar makes the intercept the mean response at xbar","en_US":"centered predictor","id":"O006-TERM-0184","id_ID":"prediktor terpusat"}
{"component":"penn-stat415","decision":"model disturbance epsilon-i rather than an observed residual","en_US":"error term","id":"O006-TERM-0185","id_ID":"suku galat"}
{"component":"penn-stat415","decision":"exact inference is conditional on fixed predictor values","en_US":"fixed-design linear model","id":"O006-TERM-0186","id_ID":"model linear rancangan tetap"}
{"component":"penn-stat415","decision":"equal conditional error variance","en_US":"homoscedasticity","id":"O006-TERM-0187","id_ID":"homoskedastisitas"}
{"component":"penn-stat415","decision":"retain R-squared notation","en_US":"coefficient of determination","id":"O006-TERM-0188","id_ID":"koefisien determinasi"}
{"component":"penn-stat415","decision":"preserve ANOVA as the standard abbreviation","en_US":"analysis of variance","id":"O006-TERM-0189","id_ID":"analisis varians (ANOVA)"}
{"component":"penn-stat415","decision":"reserve rho for population and r for sample correlation","en_US":"correlation coefficient","id":"O006-TERM-0190","id_ID":"koefisien korelasi"}
{"component":"penn-stat415","decision":"interval for a future response rather than a mean-response interval","en_US":"prediction interval","id":"O006-TERM-0191","id_ID":"selang prediksi"}
{"component":"penn-stat415","decision":"model-assumption checks using residual surfaces","en_US":"residual diagnostics","id":"O006-TERM-0192","id_ID":"diagnostik sisaan"}