Inferential T-Test Data Analysis
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About this role
Python, Statistics, R Programming Language, Statistical Analysis, SciPy, Data Visualization, Data Analysis, Pandas · I need clear, defensible insight from my “2gjg camplit” dataset using inferential statistics—specifically T-tests. I will send the raw spreadsheet (CSV/Excel) plus a short code-book.
Your task is to decide whether independent or paired T-tests are appropriate, check all underlying assumptions, run the analyses, and summarise the results in language a non-statistician can follow. I am happy for you to work in R, Python (pandas / scipy / statsmodels) or SPSS, as long as the full, commented script is returned so I can reproduce everything later.
Deliverables • Reproducible code or syntax. • Output tables with test statistics, p-values, confidence intervals. • A brief, plain-English interpretation of each finding.
Acceptance criteria • Normality and variance checks reported. • Script runs end-to-end on my machine without edits. • Numerical results in the report match those produced by the script.
If anything about the data structure is unclear, let me know before you begin so we stay aligned.