INFERENTIAL STATISTICS

INFERENTIAL STATISTICS

1. Sampling

   • Probability
     • is a subset of a statistical population in which each member of the subset has an equal probability of being chosen.
     • Simple Random Sampling
     • Systematic Random Sampling
       • Systematic sampling is a type of probability sampling method in which sample members from a larger population are selected according to a random starting point and a fixed periodic interval.
     • Stratified Random Sampling
       • Stratified random sampling is a method of sampling that involves the division of a population into smaller groups known as strata.
     • Cluster Random Sampling
       • In cluster sampling, instead of selecting all the subjects from the entire population right off, the researcher takes several steps in gathering his sample population.
   • nonprobability
   • Select a representative sample of the study
   • Is based in any element of the population

2. Non probability

   • is a non-probability sampling technique wherein the assembled sample has the same proportions of individuals as the entire population with respect to known characteristics, traits or focused phenomenon.
   • Convenience sampling
     • technique where subjects are selected because of their convenient accessibility and proximity to the researcher.

3. Hypotesis: Statement about some parameter. It can be true or false

   • Hypotesis testing: procedure to determine if a hypothesis is true or not.
   • STATISTICAL HYPOTHESIS: Statement about the probability distribution of a random variable.