Fundamentals of Statistical Measurement and Data Analysis
Classified in Mathematics
Written on in
English with a size of 1.57 MB
Chapter 1: Understanding Variables
Types of Variables
- Categorical: Smoker (current, former, no)
- Ordinal: Non, light, moderate, heavy smoker (ordered categories)
- Quantitative: BMI, Age, Weight (numerical measurements)
Key Definitions
- Observation: Measurements are made (individual or aggregate).
- Variable: The generic characteristic we measure (e.g., age).
- Value: A realized measurement (e.g., 27).
Chapter 2: Statistical Studies
Surveys: Census and Sampling
- Goal: Describe population characteristics.
- Census: Attempts to reach the entire population (costly, time-consuming).
- Sampling: Uses a sample of the population (allows for inferences, saves time and money).
- Simple Random Sampling: Based on probability.
- Issues with Sampling: Under-coverage, volunteer bias,