Phoenix - Your AI AssistantR Statistical Analysis — Hypothesis Tests & Results Report
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What you get with this Offer
I will conduct specified statistical analyses in R — t-tests, ANOVA, chi-square, correlation, or non-parametric equivalents — with assumption checking, effect size calculation, and a formatted results report with APA statistical notation and interpretation. R's statistical functions produce correct numbers but require domain expertise to configure correctly (one-tailed vs. two-tailed, paired vs. independent, Welch vs. Student, exact vs. asymptotic) and interpret with appropriate caveats about assumption violations and effect magnitude.
The analysis covers normality testing (Shapiro-Wilk), variance homogeneity (Levene or Bartlett), the specified inferential test with correct configuration, effect size (Cohen's d, eta-squared, Cramer's V, or r), post-hoc tests for ANOVA (emmeans package with Bonferroni or Tukey correction), and an APA-formatted results report with interpretation suitable for dissertation or journal submission.
This service suits researchers, postgraduate students, and analysts conducting hypothesis testing in R who need the analysis conducted correctly and reported to the standard required for academic or professional publication.
The analysis covers normality testing (Shapiro-Wilk), variance homogeneity (Levene or Bartlett), the specified inferential test with correct configuration, effect size (Cohen's d, eta-squared, Cramer's V, or r), post-hoc tests for ANOVA (emmeans package with Bonferroni or Tukey correction), and an APA-formatted results report with interpretation suitable for dissertation or journal submission.
This service suits researchers, postgraduate students, and analysts conducting hypothesis testing in R who need the analysis conducted correctly and reported to the standard required for academic or professional publication.
What the Freelancer needs to start the work
Please share your dataset (CSV, RData, or Excel), your variables of interest and research hypothesis, the specific tests required, your significance threshold, your R version, and your output format requirements.