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Chapter 8 Data analysis and interpretation ( 2007 book )


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Chapter 8 Data analysis and interpretation ( 2007 book )

  1. 1. Date Analysis and Interpretation
  2. 2. - It may be defined as the examination of data or fact in terms of quantity, quality, attribute, trait, pattern, trend, relationship among others so as to answer research questions which involve statistical techniques and procedures.
  3. 3. - Tests a single variable to determine whether the sample is similar to the population from which it has been drawn.
  4. 4. -Tests two variables on how they differ with each other. - Statistical tool Correlation coefficient – use in both descriptive and experimental design. Z test – descriptive research only. T-test – experimental only.
  5. 5. -Tests three or more independent variables at a time in the degree of relationship with the dependent variable.
  6. 6. • Also known as “MANOVA”. • This examine several variable and their relationships simultaneously • In contrast to bivariate analysis which examine relationship between 2 variables, and univariate analyses where one variable at a time is examined for generalization from the sample to the population.
  7. 7. • MANOVA test means differences among groups across several dependent variables simultaneously, by using sums of squares and cross product matrices. • In MANOVA test the independent variable is measured on a nominal scale and the dependent variables on an interval or ratio scale
  8. 8. Illustration 1: Experimental design
  9. 9. Illustration 2 ( Experimental design
  10. 10. Computation of sum of squares for samples (SS)
  11. 11.  Is a type of data analysis wherein the results of the study is compared with the norm or standard. the statistical tools used in this type are the arithmetic mean and the standard deviation.
  12. 12. Computation of arithmetic mean