SAS - Analysis Types - T-Tests/ANOVA

NEEDED:

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.

**** DEPENDING ON QUALITY OF WORK AND TIMELINESS, ADDITIONAL JOBS WILL BE OFFERED.