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SAMPLE SIZE (TYPES OF SAMPLES (PROBABILISTIC SAMPLES (How is it…

- - - - The choice of elements doesn't depend on the probability, but on causes related to the characteristics of the investigation. The procedure depends on the decision-making process of a researcher or a group of researchers and, of course, the selected samples obey other research criteria
        
        How is a probabilistic sample selected?
        
        It is determined based on the approach of the problem, the hypothesis, the research design and the scope of their contributions
        
        1.- Calculate a sample size that is representative of the population
        
        2.- Select the sample elements so that at the beginning everyone has the same possibility of being chosen
    - - Identify the following data:
        
        Size of the universe?
        
        Maximum acceptable error?
        
        Estimated percentage of the sample?
        
        Desired level of confidence?
    - - Minimize this error (also called error standard)
  - - - All elements of the population have the same possibility of being chosen and are obtained by defining the characteristics of the population and the size of the sample, and by means of
        a random or mechanical selection of the units of analysis
- - - - 1.-The margin of error that the researcher will tolerate.
        
        The maximum admissible error is the magnitude that is added and subtracted from the sample mean (or sample proportion) to determine the extreme points of the confidence interval.
      - 2.- The level of confidence desired.
        
        Relatively high confidence levels of 95 and 99% will be chosen, which are the most common
      - 3.- The variability or dispersion of the population studied.
        
        1.- Conducting a pilot test
        
        2.- Use a comparative study
        
        3.- Use an interval-based approach