Please enable JavaScript.
Coggle requires JavaScript to display documents.
BioStatistics - Coggle Diagram
BioStatistics
Probability Sampling
Simple random sample
Systamtic Sampling
Stratified sampling
Devide people into strata
Equal representation from every subgroup
Cluster Sampling
Much cost effective
Multi-stage sampling
Basic Statistical Concepts
Population & Sample
Population Defn
Sample: subset of population
Sampling
methods
probability sampling
Simple random, systematic, stratified, cluster, multi-stage
non-probability sampling
Convenience, quota, purposive and snowball.
Sampling error
- difference between a sample result and true population results
Sampling frame
Physical list
Elctoral roll, census, medical cases, registers, scholl enrolment lists
Data
Types
Primary data
Secondary data
Pros & Cons
Variable - characteristic of intrerest which can vary
Qualitative variable
Nominal
No particular order e.g. hair colour
Ordinal
A kind of order e.g. disease severity
Quantitative variable
Discrete
Whole number e.g no of children
Continuous
Desimals possible e.g height
Types of Statistics :copyright:
Descriptive Statistics
Provide simple
Inferential Statistics
Estimation
Hypothesis testing
Variable
Dependent/outcome - variable influenced by other variable
Independent/Explanatory - variable which influences other variables