İstatistik

Descriptive Statistics

1. Merkez ve Yayılım Ölçülerimean, median, mode, variance, std dev, IQR, box plots4–7.5 sa
2. Veri Görselleştirmehistograms, scatter plots, density plots, pitfalls (Simpson's paradox)4–7.5 sa

Inference Foundations

1. Örnekleme ve Yanlılıkrandom sampling, sampling distributions, standard error4–7.5 sa
2. Nokta TahminiMLE, unbiasedness, consistency, efficiency4–7.5 sa
3. Güven Aralıklarız and t intervals, proportions, interpretation4–7.5 sa

Hypothesis Testing

1. Hipotez Testlerinull/alternative, p-values, errors, power, one- and two-sample tests4–7.5 sa
2. Ki-kare ve Parametrik Olmayan Testlergoodness of fit, independence, rank tests4–7.5 sa
3. Varyans Analizi (ANOVA)one-way and two-way, multiple comparisons4–7.5 sa

Regression & Bayesian

1. Doğrusal Regresyonleast squares, inference, R-squared, diagnostics, multiple regression4–7.5 sa
2. Genelleştirilmiş Doğrusal Modellerlogistic regression, Poisson regression4–7.5 sa
3. Bayesçi İstatistikpriors, posteriors, conjugate families, credible intervals, MCMC intro4–7.5 sa