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Statistics assignments need the right test, correct output and a clear interpretation. Share your data and questions and we'll help you choose methods, run the analysis and explain the results in plain language.
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t-tests, ANOVA, chi-square and non-parametric tests.
Linear and logistic regression with interpretation.
SPSS, R, Python, Stata and Excel.
Distributions, sampling and probability problems.
Results written up in APA or your required format.
The right test depends on your research question, the type of variables and how many groups you compare. Getting this right first saves time and marks. Our guide to quantitative vs qualitative research explains how analysis fits into methodology.
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SPSS, R, Python, Stata and Excel. We use whichever your course requires.
Yes. We explain what each result means and how to report it.
Yes. See our dissertation support and data analysis pages for full details.
Excel, SPSS, Python, SQL, statistics and data visualisation support.
Research planning, literature review, methodology, analysis and editing support.
Research questions, literature review, referencing and academic research assistance.
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