Freelancers using IBM SPSS in SuratFreelancers using IBM SPSS in Surat
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Kunal Khatri's avatar
Kunal Khatri
Surat, India
PhD Statistician | Data Analysis & Research Expert
PhD Statistician | Data Analysis & Research Expert
Cover image for 🧠 Title: Statistical Analysis of
🧠 Title: Statistical Analysis of 325 Survey Responses for Research Study 📌 Problem: The client required a complete statistical analysis of survey data (325 respondents) to examine relationships between multiple factors such as organizational support, job involvement, and employee engagement. They needed: 1. Correct statistical test selection 2. Accurate analysis 3. Clear interpretation for research reporting ⚙️ Approach: I followed a structured analytical process: 1. Data cleaning and preprocessing 2. Reliability testing (Cronbach’s Alpha) 3. Descriptive statistics 4. Correlation analysis 5. Regression analysis 6. Hypothesis testing using SPSS 🛠 Tools Used: SPSS, Excel, R, Python 📊 Results 1. Identified significant relationships between key variables 2. Established impact of organizational support on engagement 3. Generated clear statistical outputs with interpretation 🎯 Outcome: The client successfully completed their research project with strong statistical backing and well-structured results for their report/dissertation. 💡 Key Value Delivered 1. Accurate and reliable statistical analysis 2. Easy-to-understand interpretation 3. Research-ready outputs
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Cover image for This HR analytics project focuses
This HR analytics project focuses on analyzing workforce data to uncover insights into employee attrition, satisfaction levels, income distribution, and key correlations among HR metrics. The analysis aims to help HR departments make informed decisions for retention and workforce planning.
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Cover image for This customer analytics project focuses
This customer analytics project focuses on understanding customer behavior, purchasing patterns, and retention factors. The dataset includes transaction history, demographic attributes, and engagement metrics. Using R-Studio and SAS Studio, advanced statistical analysis and predictive modeling techniques were applied to enhance customer segmentation, identify churn risk, and optimize marketing strategies.
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Cover image for Medical Health Data Analysis Report (Statistical and Predictive)
Medical Health Data Analysis Report (Statistical and Predictive)
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IBM SPSS(6)