{"Dojo":{"knowledgePointLabels":{"statistics_kentei_2":{"anova_f_test":"分散分析とF検定","binomial_bernoulli":"ベルヌーイ試行と二項分布","chisquare_tests":"カイ二乗適合度・独立性検定","combinatorial_probability_sampling":"組合せ確率と抽出","conditional_bayes_probability":"条件付き確率とベイズの定理","confounding_simpsons_paradox":"交絡・層別・シンプソンのパラドックス","covariance_correlation":"共分散・相関と散布図","distribution_transformations":"確率変数の同時分布と変換","event_algebra_independence":"事象の演算と独立性","experimental_design_blocks":"実験計画・乱塊法と交互作用","geometric_exponential_memoryless":"幾何・指数分布と無記憶性","location_spread_summary":"代表値と散布度","mean_confidence_intervals":"母平均の信頼区間","mean_t_tests":"平均のt検定と対応のある検定","multiple_regression_collinearity":"重回帰と多重共線性","multiple_testing_bonferroni":"多重検定とBonferroni補正","normal_standardization_clt":"正規分布・標準化と中心極限定理","point_estimation_unbiasedness":"点推定と不偏性","poisson_rare_events":"ポアソン分布と希少事象近似","proportion_confidence_intervals":"母比率の信頼区間","proportion_z_tests":"比率検定とz検定","random_variable_moments":"確率変数の期待値・分散・共分散","regression_fit_diagnostics":"回帰の適合度と残差診断","sample_size_margin_error":"標本サイズと誤差幅","sampling_chisquare_t_distributions":"標本・t・カイ二乗分布","simple_regression_least_squares":"単回帰と最小二乗法","sufficient_statistics_factorization":"十分統計量と因数分解","test_errors_power":"第一・第二種過誤と検出力","time_series_indices_growth":"時系列・指数と成長率","variance_chisquare_tests":"母分散のカイ二乗検定","variance_confidence_intervals":"母分散の信頼区間","variance_decomposition":"平方和と分散の分解","weighted_grouped_averages":"加重・層別・併合平均"}}}}