Descriptive and Deductive Statistics. Hypotheses Testing# T Tests, Analysis of Varbal an Regressions. Application of Statistical Thinking In Empirical Educational Research. Practice of Data Analysis Using Statistical Formulas and Spss. Learning Outcomes# By The End of The Course The Student Will Know How# 1. to Understand a Wide Array of Statistical Methods For Hypothesis Testing in Social Sciences - T Test, Analysis of Variance, Multivariate Testing and Advanced Regressions. 2. to Formulate Different Kinds of Hypotheses and Understand Their Meaning in The Context of Statistical Testing. 3. to Recognize Main Concepts in Statistical Thinking# Types Of Variables and Measures, Normal Distributions, Sampling Errors And More. 4. to Compare Between The Different Statistical Procedures- When Each Procedure Should Be Applied, What Are The Advantages and Disadvantages Of Each Statistical Test. 5. to Analyze Statistical Hypothesis By Regular and Advanced Statistical Tests. 6. to Apply Statistical Understanding in The Reading of Empirical Papers in Education- Research Method, Results and Limitations.

Faculty: Education in Science and Technology
|Pre-Academic
Pre-required courses

94423 - Introduction to Statistics

Course with no extra credit

216009 - Quantitative Research Methods in Education