DESCRIPTIVE STATISTICS

DESCRIPTIVE STATISTICS

1. WHAT IS IT?

   • Science that uses numerical data to obtain inferences based on the calculation of probabilities.
     • Descriptive
       • employs descriptive and statistical inference methods, dealing with: collection, organization, tabulation, presentation and reduction of information.
     • Inferential
       • It is the set of methods and techniques that make it possible to induce from empirical information provided by a sample.

2. PROBLEM PLANNING

   • Determine objectives
   • Working hypothesis
   • Foundation and importance
   • Determination of the unit of analysis and variables
   • Identification of sources

3. DATA COLLECTION

   • Contact with study elements, specify variables and identify data sources.
     • 2: Modalities
       • Documentary research technique
       • Fieldwork technique
   • Comprises four aspects
     • Distribution of material
     • Agreed collection
     • Control of the number of forms collected
     • Control over the quality of the information collected

4. Organization

   • Organization, classification and organization in tables and graphs
     • Data presentation
     • Processing
     • Consistency
     • Tabulation
   • The validity of your results and conclusions depend on the reliability of the data used.

5. ANALYSIS

   • Statistical analysis and evaluation of results
   • Technical analysis and evaluation in accordance with the nature of the research.
   • Establish hypotheses

6. PRESENTATION OF RESULTS

   • Must contain
     • Research objectives
     • Problem statement
     • Hypothesis to be tested
     • Explanation of the methodology adopted and sample size
     • Copy of the form used to collect information
     • Appendix of general tables

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