I have a set of experimental data from a recent behavioral-science project and I need a clear, well-documented statistical analysis that covers the full journey from first inspection through to publishable insights. Here’s what I need done: • Descriptive statistics that outline central tendencies, dispersion, and any notable patterns. • Inferential tests to confirm or refute the study’s hypotheses, with assumptions checked and reported. • Appropriate regression models to explore relationships and quantify effect sizes, accompanied by diagnostics and model-fit commentary. I’m flexible on the software: R or Python would be ideal, though Stats Crunch (or any comparable package) works if it supports the same depth of analysis. Whichever tool you choose, please include clean, annotated code and a brief write-up that explains your decisions, results, and practical implications in plain language. Figures and tables should be formatted so they can drop straight into a manuscript. I will need analysis in saved in whichever software program you used, but also would like it saved in PDF format as well. My study involves the administration of an online psychological test battery (4 performance tasks, and 3 self-report surveys). Basically, I am looking at the relationship between one specific personality trait and various cognitive abilities. So, if you have experience in performing data analyses on psychological/behavioral data, that will be a plus! I will share my raw data in Excel format ( from 2 groups of 30 subjects) with the person I hire. If this scope is clear and you’re comfortable navigating experimental behavioral data, I look forward to seeing your approach and timeline.