Statistical Data Analysis Assignment Help -- 2
Budget: $30 – $250 USD
I’m working on a university assignment in Data Analytics and need a hand with the statistical analysis portion. The task involves taking the dataset provided by my instructor, running the appropriate tests (t-tests, ANOVA, correlation, or whatever the data legitimately calls for), and then presenting the findings in a clear, well-commented Jupyter notebook or R Markdown file—whichever you’re most comfortable with.
Here’s what I need from you:
• A clean, reproducible script that imports, cleans, and analyzes the data using sound statistical methods.
• Visual or tabular output for each test so I can easily drop results into my report.
• A concise write-up (bullet points are fine) explaining why each test was chosen, the assumptions checked, the results, and any limitations.
I’m not familiar with basic stats but want to be certain the analysis is rock-solid and presented professionally. If you’re comfortable with Python (pandas, SciPy, statsmodels, seaborn) or R (tidyverse, ggplot2), and can get through the assignment for final submission, let’s get started.
Here’s what I need from you:
• A clean, reproducible script that imports, cleans, and analyzes the data using sound statistical methods.
• Visual or tabular output for each test so I can easily drop results into my report.
• A concise write-up (bullet points are fine) explaining why each test was chosen, the assumptions checked, the results, and any limitations.
I’m not familiar with basic stats but want to be certain the analysis is rock-solid and presented professionally. If you’re comfortable with Python (pandas, SciPy, statsmodels, seaborn) or R (tidyverse, ggplot2), and can get through the assignment for final submission, let’s get started.