statisticshowto.com
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Statisticshowto.com is a comprehensive, beginner-friendly statistics resource offering clear explanations, step-by-step tutorials, and practical calculators for inferential statistics and data analysis. It covers topics like hypothesis testing, confidence intervals, t-tests, chi-square, ANOVA, regression, probability, sampling, and more.
More resources on Inferential Statistics
Inferential Statistics
Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Inferential statistics help us decide, for example, whether the differences between groups that we see in our data are strong enough to provide support for our hypothesis that group differences exist in general, in the entire population. We will start by considering the basic principles of significance testing: the sampling and test statistic distribution, p-value, significance level, power and type I and type II errors. Then we will consider a large number of statistical tests and techniques that help us make inferences for different types of data and different types of research designs. For each individual statistical test we will consider how it works, for what data and design it is appropriate and how results should be interpreted. Normally you would also learn how to perform these tests using freely available software R. Due to technical issues we are not able to do so. We will try to offer this again soon. For those who are already familiar with statistical testing: We will look at z-tests for 1 and 2 proportions, McNemar's test for dependent proportions, t-tests for 1 mean (paired differences) and 2 means, the Chi-square test for independence, Fisher’s exact test, simple regression (linear and exponential) and multiple regression (linear and logistic), one way and factorial analysis of variance, and non-parametric tests (Wilcoxon, Kruskal-Wallis, sign test, signed-rank test, runs test).
inferstats.org
InferStats.org is an educational resource that provides clear explanations and practical tutorials on inferential statistics. It covers core topics such as sampling distributions, estimation, hypothesis testing, confidence intervals, and related methods with worked examples and exercises.
effectsizefaq.com
EffectSizeFAQ.com is a concise FAQ-style resource that explains effect sizes used in inferential statistics. It covers common measures (Cohen's d, Pearson's r, odds ratios), how to compute and interpret them, and how to report results with practical examples.
Hypothesis
Hypothesis - A book resource