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STATISTIC - Coggle Diagram

- - - - MEASURE OF CENTRAL TENDENCY
      - VARIATION AND SHAPE
      - DESCRIBING QUANTITATIVE DATA NUMERICAL
      - ARITHMETIC MEAN,MEDIAN,MODE,REVISIT BUILDING A HISTOGRAM
  - - - GRAPHING QUALITATIVE AND QUANTITATIVE DATA
        
        COMMAND IN SPSS
        
        PARETO CHART
        
        BAR AND PIE CHART
        
        HISTOGRAM AND FREQUENCY
        
        CATEGORY AND NUMERICAL QUANTITATIVE VARIABLE
- - - - Concept of hypothesis testing
        
        Hypothesis testing of a single population: large samples when population standard deviation is known or not, and sample samples when population standard deviation is known or not, population is normally distributed
  - - - HYPHOTESIS TESTING
      - WEEK 13
        
        TEST OF INDEPENDENCE
        
        CHE-SQUARE DISTRIBUTION TABLE
- - - - TYPES OF STATISTIC
      - INFERENTIAL STATISTIC
      - DEFINITON
      - DATA LEVEL OF MEASUREMENT
      - AIMS OF STATISTIC
      - BASIC VOCABULARY OF STATISTIC
- - - - WEEK 11
        
        Understand how to interpret the results using SPSS output
        
        Understand that the process of hypothesis testing on mean differences in two populations is similar to testing the claim in one population mean.
- - - - PROBABILITY LAWS AND RULES
        
        TREE DIAGRAM
        
        FIND THE ACCESSING PROBABILITY
- - - - SAMPLING DISTRIBUTION OF SAMPLE MEANS AND CENTRAL LIMIT THEOREM
        
        DEFINE THE CONCEPT OF A SAMPLING DISTRIBUTION
        
        DETERMINE THE MEAN AND STANDARD DEVIATION FOR THE SAMPLING OF THE SAMPLE MEAN
        
        DIFFERENTIATIVE BETWEEN DESCRIPTIVE AND INFERENTIAL STATISTIC
        
        DESCRIBE THE CENTRAL LIMIT THEOREM AND ITS IMPORTANCE
        
        DETERMINE THE PROBABILITY(PROPOTION) OF SAMPLE MEAN X
- - - - WEEK 14
        
        Interpret correlation analysis using SPSS output
        
        Interpret Pearson product-moment correlation coefficient