Statistical Selector Tool
Easily identify the right statistical test or analysis technique for your research with this guided assessment tool. Answer a series of structured questions about your variables, data type, and research aims to receive customized recommendations and guidance on statistical methods, including when and how to use them.
Key Features
- Interactive analysis questionnaire
- Quantitative and qualitative method coverage
- Guidance for common statistical tests
- Step-by-step decision workflow
- Assumptions and requirements check
- Video tutorials and reference resources
- Export detailed recommendations
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This tool is 100% free and requires no login
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Frequently Asked Questions
How do I choose the right statistical test for my data?
The right statistical test depends on: (1) your research question and hypotheses, (2) the type of data (continuous, categorical, ordinal), (3) the number of variables and groups being compared, (4) whether data meets assumptions like normality, and (5) your sample size. This tool guides you through these considerations systematically to recommend appropriate tests like t-tests, ANOVA, chi-square, regression, or non-parametric alternatives.
What is the difference between t-test and ANOVA?
A t-test compares means between two groups (e.g., treatment vs. control), while ANOVA compares means across three or more groups. Use an independent samples t-test for two unrelated groups, paired t-test for related groups, one-way ANOVA for one independent variable with 3+ groups, and factorial ANOVA for multiple independent variables.
When should I use parametric versus non-parametric tests?
Use parametric tests (t-tests, ANOVA, Pearson correlation) when data is normally distributed and meets test assumptions. Use non-parametric alternatives (Mann-Whitney U, Kruskal-Wallis, Spearman correlation) when data violates normality assumptions, has outliers, or involves ordinal/ranked data. Non-parametric tests are more robust but slightly less powerful.
Is this statistical selector tool free?
Yes, completely free with no registration or login required. Use it unlimited times for all your research projects, assignments, and dissertation analyses.
Can this tool help me with my dissertation statistics?
Absolutely. This tool is specifically designed for graduate-level research including dissertations and theses. It helps you select and justify your statistical approach for your methodology chapter and ensures your analysis aligns with your research questions.