STATISTICS INFERENTIAL

STATISTICS INFERENTIAL

1. WHAT PROCESS MAKES?

   • MAKE STATEMENTS ABOUT ONE OR SEVERAL POPULATIONS BASED ON THE RESULTS OF A SAMPLE, THIS CONTROLLING MANY VARIABLES

2. WITH THIS I MAY?

   • ATTRIBUTE CAUSES
   • ANALYZE FACTORS
   • ESTABLISH DIFFERENCES
   • PREDICT RESULTS

3. METHODS OF SAMPLING

   • ROLLING SIMPLE
   • SYSTEMATIC
   • STRATIFIED

4. TYPES OF SAMPLES

   • INFINITE N>=100.000 ELEMENTS
   • BIG SIZE N>=30
   • SMALL SIZE N<=29

5. BASIC CONCEPTS

   • IT IS OPTED FROM SAMPLE DATA OF A POPULATION
   • IT IS A BRANCH OF THE STATISTICS
     • IT IS BASED ON RESULTS SAMPLES OR DESCRIPTIVE STATISTICS

6. ALLOWS TO KNOW TRENDS

   • FOR EXAMPLE, WHAT IS THE AVERAGE SALARY OF AN ACCOUNTANT IN COLOMBIA?

7. ESTABLISHES THAT

   • A STUDY POPULATION GENERATES PARAMETERS
   • THE SAMPLE GENERATES STATISTICAL DATA

8. VARIABLES QUANTITATIVE

   • SAMPLE AVERAGE
   • SAMPLE VARIANCE
   • STANDARD DEVIATION

9. OBJETIVE

   • PREDICTING THE BEHAVIOR OF VARIABLES POPULATION BASED ON SAMPLE RESULTS

10. STATISTICAL TESTS

    • HO. HYPOTHESIS NULL
      • PROPOSITIONS THAT DENY OR REFUTE THE RELATIONSHIPS BETWEEN VARIABLES
    • HI. RESEARCH HYPOTHESIS
      • TENTATIVE PROPORTIONS ON THE POSSIBLE RELATIONSHIPS BETWEEN 2 OR MORE VARIABLES
    • HA. HYPOTHESIS ALTERNATIVE
      • ARE DIFFERENT OR ALTERNATE POSSIBILITIES BEFORE THE INVESTIGATION AND NULL HYPOTHESIS

11. QUALITATIVE

    • NOMINAL
    • ORDINAL

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