data/concepts_cache/basic-statistics-new.json

{
  "key_concepts": [
    "Descriptive statistics (mean, median, mode, variance, standard deviation)",
    "Exploratory data analysis (histograms, boxplots, outlier detection, summary statistics)",
    "Probability fundamentals (probability rules, conditional probability, independence, Bayes' theorem)",
    "Common probability distributions (normal, binomial, Poisson, uniform, exponential)",
    "Sampling, sampling distributions and the Central Limit Theorem",
    "Statistical inference (null vs alternative hypotheses, p-values, confidence intervals)",
    "Common hypothesis tests (t-test, chi-square test, ANOVA)",
    "Correlation and basic linear regression interpretation"
  ],
  "primary_domain": "technical",
  "use_cases": [
    "Screen entry-level data analysts or business analysts for baseline statistical literacy before interview stages",
    "Validate statistical knowledge for candidates who will interpret analyses, run tests, or report A/B test results",
    "Assess training/placement needs for employees joining analytics or research teams"
  ]
}