Descriptive statistics

Descriptive statistics

1. frequency distribution

   • Absolute frecuency
   • cumulative frequency
   • relative frequency

2. basic statistical parameters

   • position measurements
   • measures of central tendency
   • measures of dispersion
   • measures of dispersion

3. ·

4. variable type

   • quantitative variable
     • are measurable and their values ​​correspond to their real numbers
       • keep going
         • They take infinite values ​​from an interval of real numbers.
       • discreet
         • they only take some real values
   • qualitative variable
     • their values ​​correspond to qualities or attributes that are not measurable
       • ordinary
         • It does not require numbers but it does consist of an order or a position
       • Nominal
         • variable that is not represented by numbers nor has any type of order
       • binary
         • Work with specific values ​​of the binary type

5. Analyze, collect and characterize data from a given population using statistics, graphs and value tables.

6. Tables and graphs

   • probability tables
   • two-dimensional tables
   • Bar graphic
   • box plot
   • histogram
   • Pie chart

7. STATISTICS

   • elements of statistics
     • Population
       • Group of individuals representing a common characteristic trait to be investigated
     • Sample
       • Representative set of the reference population
     • Parameters
       • They are measures that provide information about the center of a data set.
     • Experiment
       • Planned activity whose results produce a set of data
     • Variable
       • The characteristic or quality of a sample or population to which a value can be assigned.

8. inferential statistics

   • It is the set of methods that allow inducing, through a statistical sample, the behavior of a given population.
   • methods
     • nonparametric statistics
       • Its objective is to check if an estimate corresponds with the population values.
     • parametric statistics
       • It is responsible for assigning a value to the parameter that characterizes the field under study