EDU-401: Statistics and Data Analysis

This course conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. This course would provide a step-by-step introduction for statistics, data analysis, or research methods classes using statistical software. Concise descriptions emphasize the concepts behind statistics rather than the derivations of the formulas. After reading this course students will be able to; Basic concept of statistics and data analysis, application of descriptive and differential statistics and will be able to identify the nature of statistical data and then by using SPSS they can apply different statistical tests to reach conclusions about data.

Week 1	Statistics : Basic concepts, definitions Scope or applications of statistics in education
Week 2	Types and branches of statistics (Parametric, non-parametric and inferential)
Week 3	Scales of Measurement and their use in Statistics
Week 4	The frequency distribution
Week 5	Measures of central tendency: mean, median, mode
Week 6	Measures of variability Range, the quartile deviation, the average deviation, standard deviation Uses of various measures of variability
Week 7	The normal distribution: Meaning importance, properties and applications of the normal probability curve /normal distribution curve
Week 8	Correlation Basic concepts Correlation coefficients; Pearson Product /Moment Correlation Rho; Partial correlation and bi-serial correlation.
Week 9	Regression
Week 10	Analysis of variance and application of t- Test; ANOVA and ANCOVA.
Week 11	The chi-square test and the null hypothesis
Week 12	Data: Meaning & Types : Parametric and Non Parametric data
Week 13	Data Analysis Qualitative Quantitative
Week 14	Data analyses through SPSS & NVIVO
Week 15
Week 16