Statistical Treatment of Data (Group 4) Presentation

Practical Research 2

1. Statistical Treatment of Data GROUP 4

2. DATA ANALYSIS I n research , It is a process in which gathered information are summarized in such a manner that it will yield answers to the research questions.

3. DATA ANALYSIS I n research , It is a process in which gathered information are summarized in such a manner that it will yield answers to the research questions.

4. METHODOLOGY

5. apply ing a form of statistical method to a data set to transform it from a group of meaningless numbers into a meaningful output. STATISTICAL TREATMENT

6. Descriptive STATISTICS Inferential STATISTICS - used to describe and summarize data - often presented in the form of graphs - based on the probabilities that certain events would occur simply by chance. - drawing conclusions about populations STATISTICAL TECHNIQUE

7. STATISTICAL TREATMENT Inferential Statistics Descriptive Statistics Measures of Variability Measures of Central Tendency Parametric Tests Non-parametric Tests

8. Measures of Central Tendency DESCRIPTIVE STATISTICS MEAN MEDIAN MODE center

9. Measures of Variability DESCRIPTIVE STATISTICS RANGE VARIANCE STANDARD DEVIATION spread/dispersion

10. STATISTICAL TREATMENT Inferential Statistics Descriptive Statistics Measures of Variability Measures of Central Tendency Parametric Tests Non-parametric Tests

11. RESOURCE Page Pearson’s r Phi coefficient Spearman’s rho INFERENTIAL STATISTICS Test of Relationship between Two Variables

12. RESOURCE Page T-test for dependent samples McNemar change test Wilcoxon signed-rank test INFERENTIAL STATISTICS Test of Difference between Two Data Sets from One Group

13. RESOURCE Page T-test for independent samples Two-way chi-square Mann-Whitney U test INFERENTIAL STATISTICS Test of Difference between Two Data Sets from Two Different Groups

14. RESOURCE Page Analysis of Variance or ANOVA INFERENTIAL STATISTICS Test More than Two Population Means

15. RESOURCE Page Regression INFERENTIAL STATISTICS Test the Strength of Relation or Effect or Impact

16. 1 Define research questions or objectives. 2 Understand the type of data. 3 Select an appropriate statistical technique. 4 Consider assumption and limitations. 5 Conduct the Data Analysis. 6 Validate the results. 7 Communicate results effectively. DATA ANALYSIS PROCESS

17. Thank you!