Inferential Data Analysis is a course that focuses on using sample data to make generalizations, predictions, and decisions about a larger population. It equips learners with statistical techniques for estimating population parameters, testing hypotheses, and determining relationships between variables. The course emphasizes both theoretical understanding and practical application of statistical inference in real-world contexts such as research, business, health sciences, and social sciences.
Learners will explore key concepts including probability distributions, sampling methods, estimation techniques, confidence intervals, hypothesis testing, correlation, and regression analysis. The course also introduces the use of statistical software for data analysis, interpretation, and reporting of findings.
By the end of the course, students will be able to analyze data critically, draw valid conclusions, and communicate statistical results effectively for informed decision-making.
- Teacher: Admin User
This unit describes competencies required to demonstrate digital literacy. It involves in identifying computer software and hardware, applying security measures to data, hardware, software in automated environment, computer software in solving task, internet and email in communication at workplace, desktop publishing in official assignments and preparing presentation packages.
- Teacher: Admin User