Module 1 provides a comprehensive roadmap for executing the technical phase of experimental research. You will begin by mastering sampling, learning how to select a representative group from a population to ensure your findings are valid and generalizable. The module then transitions into sample size determination, where you will apply statistical factors, such as power, effect size, and significance levels, to ensure your study is robust. Finally, you will explore data analysis, covering both descriptive statistics to summarize your data and inferential statistics to test your hypotheses. By the end of this module, you will be able to design a systematic data collection plan and select the appropriate statistical methods for your research.
Lessons
Sampling Procedures and the Sample
1.1. Population versus Sample
1.2. Probability Sampling Techniques
1.3. Non-Probability Sampling Techniques
1.4. Sampling in Biological and Physical Sciences (Replicates and Blocking)
Sample Size and Data Analysis
2.1. Factors for Sample Size Determination
2.2. Tests of Normality
2.3. Descriptive Statistics (Central Tendency, Shape, and Variability)
2.4. Inferential Statistics and Hypothesis Testing