Summary of Previous Lectures - Codanics
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Statistics
Day-1
Day-2
Day-3
Surrogate Endpoints
True and Error Scores
Reliability and Validity
Triangulation in Research
Day-4
Measurement Bias
Statistics and types of statistics
Data Analysis and Types of Data Analysis
Population vs. Sample
Day-5
Central Tendency
Mean
Median
Mode
Population Mean vs. Sample Mean
Day-6
Variability in Statistics
Day-7
Range in Statistics
Interquartile Range (IQR)
Variance in statistics
Standard Deviation
Day-8
Data Distributions in statistics
Skewness vs. Kurtosis
Day-9
Best Practices in Data Collection
Sampling Guide (Ch # 1-3)
Chapter 1: Sampling – The Heartbeat of Statistics
Chapter 2: The Art of Choosing the Right Sample
Chapter 3: Sampling in Action – A World of Applications
Day-10
Sampling Guide (Ch # 4-8)
Chapter 4: Navigating the Challenges and Considerations in Sampling
Chapter 5: Sampling in the Age of Big Data and Advanced Analytics
Chapter 6: Advanced Sampling Techniques – Pioneering Methods for Modern Data Challenges
Chapter 7: Case Studies in Sampling – Real-World Insights and Applications
Chapter 8: The Future of Sampling in Statistics – Emerging Trends and Innovations
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