1. Outcome
2. Defined
3. Population
3.1. All possible items with common characteristics under
3.1.1. Experimental conditions
3.1.2. Observational conditions
3.1.3. Statistical analysis
3.1.3.1. Infer relationships between
3.1.3.1.1. Design factor
3.2. Fixed
4. Statistic
4.1. Problem solving with variability
4.1.1. Studies
4.1.1.1. Experimental
4.1.1.1.1. Control variables
4.1.1.2. Observational
5. Statistics in experimentation
5.1. Identify and measure
5.1.1. Sources of variation
5.1.1.1. Draw valid inferences
5.2. Statistical design and analysis
5.2.1. Project planning
5.2.1.1. Include statistical considerations
5.2.2. Experimental design
5.2.2.1. Control variation from known sources
5.2.2.1.1. Uncontrollable variation
6. Process
6.1. Repeatable series of actions resulting in
6.2. Changing
7. Variable
7.1. Characteristic on which information is retrieved
7.1.1. Types
7.1.1.1. Response
7.1.1.2. Factors
7.1.1.2.1. Can affect response variables
7.1.1.2.2. Controllable
8. Observation in experiments
8.1. Information
8.2. Actual value of variables
9. Sample
9.1. Representative group of the population
9.1.1. Sampling techniques
9.1.1.1. Convenience sample
9.1.1.1.1. Fast and cheap
9.1.1.1.2. Not necessarily representative
9.1.1.2. Judgmental sampling
9.1.1.2.1. Based on experience
9.1.1.2.2. Difficult to relate to population
9.1.1.3. Simple random sample
9.1.1.3.1. Sample of size n obtained from the population or process
9.1.1.3.2. Stringent requirements
9.1.1.3.3. Allows replacement
9.1.1.4. Systematic random samples
9.1.1.4.1. Sampling the kth unit
9.1.1.5. Stratified random samples
9.1.1.5.1. Subdivide heterogeneous population in groups
9.1.1.6. Cluster sampling
9.1.1.6.1. Subdivide population in clusters
9.2. Serves to make inferences about population
10. Parameters
10.1. Population values that summarizes its observations
10.2. Constant
10.3. Greek letters
10.4. Usually unknown
11. Distribution
11.1. Possible values of a variable and occurrence frequency
11.2. Example
11.2.1. Normal distribution
11.2.1.1. Parameters
12. Statistics
12.1. Sample values to estimate parameters
12.2. Random
12.3. Latin letters
13. New node
13.1. Histograms
13.2. Frequency distribution
13.3. Relative-frequency histogram
14. Random
14.1. Statistical
14.1.1. Approximate physical systems
14.1.2. Derived from data
14.2. Mathematical
14.2.1. Represent relationships among variables
14.2.2. Derived from theory
14.2.3. Don't take errors into account