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Foundations of Statistics and Data
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Module 1
Foundations: Statistics and Data
1
Introduction to Statistics
Define statistics and explain its role in data analysis and decision-making.
2
Descriptive vs. Inferential Statistics
Differentiate between descriptive and inferential statistics with examples.
3
Population, Sample, and the Purpose of Sampling
Define population and sample, and explain the rationale for using sampling.
4
Data Types and Measurement Scales
Classify data by type (qualitative, quantitative) and measurement scale (nominal, ordinal, interval, ratio).
Discrete vs. Continuous Data
Distinguish between discrete and continuous quantitative data.
6
Common Data Collection Methods
Identify common data collection methods such as surveys, experiments, and observational studies.
7
Data Preprocessing and Quality Issues
Explain the purpose of data preprocessing and identify common data quality issues.
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Descriptive Statistics: Central Tendency and Dispersion