I can help you conduct hypothesis testing using Excel/R/Python/Minitab/SPSS/Stata
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Project Details
Why Hire Me?
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I bring over 7 years of hands-on experience in statistical testing across multiple industries. Whether you're working on academic research, product testing, clinical data, or business analysis, I can help you choose the right statistical test and deliver results that are both technically sound and easy to understand.
Why My Service Is Right for You:
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Proficient in t-tests, ANOVA, chi-square, regression, and non-parametric tests
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Experienced with multiple tools—Excel, R, Python, SPSS, Stata, and Minitab
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Skilled in preparing clean datasets and choosing the correct test
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Clear interpretation tailored to both technical and non-technical audiences
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Strong background in academic, healthcare, social sciences, and business research
What I Need From You to Start Your Project
To ensure accuracy and fast turnaround, please provide the following:
1) Project Description and Hypotheses
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A brief overview of your study or business problem
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Clearly defined null and alternative hypotheses
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Objectives of your analysis
2) Dataset and Structure
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Raw or cleaned dataset in Excel, CSV, SPSS, or any preferred format
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Codebook or description of variables and data types
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Information on any missing values or preprocessing already done
3) Preferred Software and Tools
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Your choice of software: Excel, R, Python, SPSS, Stata, or Minitab
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If unsure, I will suggest the most suitable one based on your dataset and requirements
4) Type of Test (if known)
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Desired test: t-test, ANOVA, chi-square, correlation, regression, etc.
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Or I can choose based on your data type and research design
5) Reporting Preferences
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Format of final output: Excel file, PDF report, or editable document
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Any specific metrics or visualizations you want included (p-values, confidence intervals, charts)
6) Timeline and Delivery
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Deadline for final output
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Milestones for draft reviews (if applicable)
7) Communication Preferences
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Your preferred contact method (email, WhatsApp, etc.)
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Time zone and availability for clarification or update meetings
8) Data Privacy and Ethics
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Any specific confidentiality requirements or data usage restrictions
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Confirmation of ethical clearance if applicable (especially for academic or sensitive data)
Portfolio
Testing the Impact of a New Diet Program on Blood Pressure: A Paired t-Test in SPSS
This hypothesis testing project used SPSS to analyze pre- and post-diet blood pressure readings of patients enrolled in a 6-week health program. A paired t-test determined the intervention’s effectiveness.
A/B Testing of Product Page Layouts Using Python: Impact on Conversion Rates
Using Python’s SciPy and pandas libraries, this project conducted an independent two-sample t-test on A/B data to test whether a redesigned product page significantly improved e-commerce conversion rates.
Does Gender Influence Academic Performance in Online Learning? A Chi-Square Test in R
This R-based project tested the association between student gender and performance bands in an online education platform using a chi-square test of independence.
Process






