BEC JCE English flashcards
BEC JCE English · Build recall with a focused review session.
32 cards. Read the term and the definition here. The deck at the top of this page is optional.
- JCE administering body
- The Japan Statistical Society administers the JCE with cooperation from MEXT, setting exam dates, levels, fees, and pass standards for both Grade Pre-2 and Grade 2.
- JCE exam frequency
- The JCE is held twice per year, typically in June and November, with application windows opening a few months before each scheduled test date.
- JCE registration channel
- Candidates apply online through the JSS JCE portal, where they choose exam level, test site, and payment method before the application deadline closes.
- Exam fee refund rule
- Fees vary by level and applicant category, and are not refunded once the application deadline has passed, even if the candidate does not attend.
- Answer sheet format
- Candidates record answers on a machine-readable mark-sense sheet using pencil, and the completed sheets are scored automatically against the official answer key.
- Result announcement timing
- Results appear online about one month after the exam, and official pass certificates are mailed to candidates who meet the cut score.
- Special accommodation request
- Extra time or enlarged print must be requested before the application deadline with supporting documentation, and approval is decided by the administering society.
- Score reporting format
- Candidates receive a pass/fail decision plus a score report; the passing threshold is set per level and revised periodically by the Japan Statistical Society.
- Report structure order
- A statistical report presents purpose, data source, analysis method, results, and conclusion in that sequence so readers can follow and verify the reasoning.
- Table and figure notes
- Each table or figure carries a number, title, and note stating units, sample size, and data source, making the display self-explanatory.
- Percentage denominator rule
- A reported percentage must state its base or denominator, because the same count yields very different percentages depending on the total.
- Rounding in reports
- Round only final reported values to the precision of the measurement, and keep full precision during intermediate calculations to avoid accumulated error.
- Correlation versus causation
- Observational data can show association but not cause; a report must not claim one variable causes another without experimental or strong design evidence.
- Uncertainty reporting
- Point estimates should be accompanied by confidence intervals or standard errors whenever sampling variability affects the interpretation of the reported result.
- Fact versus interpretation
- Reports separate observed data from the author's inference, using distinct wording so readers can tell measurement from judgment.
- Bar chart baseline
- Bar charts require a zero baseline and labeled axes with units; a truncated axis exaggerates differences and distorts comparison.
- Source citation purpose
- Citing data sources and methods lets readers reproduce the analysis and judge its validity; unattributed figures are a reporting defect.
- Cut score meaning
- The cut score is the total-score threshold set by the JSS for each level; candidates at or above it pass, and unanswered items earn no credit.
- Item difficulty index
- Difficulty is the proportion of candidates answering an item correctly; moderate values, roughly 0.3 to 0.8, give the most useful information.
- Item discrimination index
- Discrimination measures how well an item separates high scorers from low scorers; a positive value means stronger candidates answered it correctly more often.
- Score equating purpose
- Equating adjusts scores across June and November administrations so that the pass standard stays comparable despite differences in test difficulty.
- Cohort summary statistics
- Official reports summarize cohort performance with mean, standard deviation, and score distribution, helping interpret the cut score in context.
- Statistical literacy target
- Assessment targets the ability to read data, choose appropriate methods, interpret results, and judge the validity of statistical claims.
- Candidate feedback limits
- Candidates receive only pass/fail and a score; individual item responses and answer keys are not disclosed after the examination.
- Fairness item review
- Before publication, items are screened for bias in wording, context, and required background knowledge so that no group is unfairly disadvantaged.
- Pre-2 syllabus scope
- Grade Pre-2 covers data description, basic probability, and elementary statistical inference at an introductory level suited to general statistical literacy.
- Grade 2 syllabus scope
- Grade 2 extends to sampling distributions, estimation, hypothesis testing, and regression analysis, requiring deeper methodological understanding than Pre-2.
- Descriptive statistics topics
- The syllabus includes mean, median, mode, variance, standard deviation, and quartiles as core tools for summarizing data sets.
- Data visualization topics
- The syllabus covers histograms, box plots, and scatter plots, emphasizing correct construction and interpretation of each display.
- Probability syllabus topics
- Core probability topics include conditional probability, independence, and the normal distribution, forming the basis for later inference questions.
- Inference syllabus topics
- The syllabus covers confidence intervals and the logic of hypothesis testing, including null and alternative hypotheses and interpretation of p-values.
- Regression syllabus topics
- Association and regression topics include the correlation coefficient, the least squares line, and the coefficient of determination as measures of fit.