Numerical Data Inferential Analysis
Budget: $250 – $750 USD
I'm in need of a professional with expertise in inferential statistics, particularly hypothesis testing. The primary focus will be on categorical and numerical data.
Key Tasks:
- Conduct hypothesis testing on given numerical data.
- Provide clear, interpretable results and insights from the analysis.
- Compute descriptive statistics as a preliminary analysis step.
Ideal Skills:
- Proficient in inferential statistics and hypothesis testing.
- Strong background in handling and analyzing numerical data.
- Excellent data interpretation and communication skills.
The final report should be delivered in Microsoft Word format. The catergorical numerical data is from the healthcare industry.
Please use the non-parametric method for the hypothesis testing. The dataset for the analysis is already prepared. The analysis should be performed using SPSS. 2 days or even earlier.
Include a comparative analysis between different data groups. Include graphs and charts to visually represent the analysis. as well as a tables
Include a comparative analysis between different data groups based on Urban and Rural (gender, age groups, education, marital status, occupation)
The comparative analysis will involve groups from the following locations: 1 group of data per location.
Key Tasks:
- Conduct hypothesis testing on given numerical data.
- Provide clear, interpretable results and insights from the analysis.
- Compute descriptive statistics as a preliminary analysis step.
Ideal Skills:
- Proficient in inferential statistics and hypothesis testing.
- Strong background in handling and analyzing numerical data.
- Excellent data interpretation and communication skills.
The final report should be delivered in Microsoft Word format. The catergorical numerical data is from the healthcare industry.
Please use the non-parametric method for the hypothesis testing. The dataset for the analysis is already prepared. The analysis should be performed using SPSS. 2 days or even earlier.
Include a comparative analysis between different data groups. Include graphs and charts to visually represent the analysis. as well as a tables
Include a comparative analysis between different data groups based on Urban and Rural (gender, age groups, education, marital status, occupation)
The comparative analysis will involve groups from the following locations: 1 group of data per location.