SAS Programming & Data Preparation: Utilize SAS Studio to upload and run provided SAS programs to create 2 small datasets for analysis.
Data Analysis & Correlation Conduct correlation analysis to determine variance of two variables Interpret correlation coefficients, evaluate statistical significance, and provide insights on the relationship of some data points T-Test Analysis: Analyze and compare the effectiveness of two items using paired t-tests. Generate and interpret descriptive statistics for each of the two items, compare means, and check assumptions to validate the testing method.
One-Way ANOVA Analysis: Use one-way ANOVA test to make data determinations. Ensure statistical assumptions are met before conducting analyses, submit code, and interpret results.
Qualifications: Proficiency in SAS programming and SAS Studio. Strong understanding of statistical analyses, including correlation studies, t-tests, and ANOVA. Ability to interpret and communicate data findings Attention to detail and strong problem-solving skills.
Preferred Skills Knowledge of statistical assumptions and methodologies for various analyses.
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