EDUC 602 Statistics

This course is an introduction to statistics and data analysis. It covers the following: reasons for doing Statistics, collection, summarization, and presentation of data, basic concepts in probability, point and interval estimation, and hypothesis testing.

At the end of the trimester, the students will produce a statistical report of a provided research data.

1. Demonstrate knowledge of the basic terms, concepts, and procedures in statistics;

2. Use appropriate methods of data collection and presentation;

3. Summarize data using different numerical measures;

4. Apply rules of probability in handling probability sampling distributions*;

5. Make inferences about the mean and proportion of one and two populations using sample information through estimation and hypothesis testing;

6. Investigate linear relationship between two variables by measuring the strength of association and obtaining a regression equation to describe the relationship;

7. Analyze data resulting from the conduct of experiments; and,

8. Guard against misuses of statistics.

Chapter 1. INTRODUCTION TO STATISTICS FOR EDUCATIONAL RESEARCH

• Lecture 01. Statistics for Education Research

• Lecture 02. Basic Statistical Concepts

• Lecture 03. Sampling

Chapter 2. DESCRIPTIVE STATISTICS

• Lecture 04. Frequency and Percentages

• Lecture 05. Measures of Central Tendency

• Lecture 06. Measures of Dispersion

Chapter 3. PROBABILITY, THE NORMAL DISTRIBUTION, AND SAMPLING DISTRIBUTIONS

• Lecture 07. Basic Concepts in Probability*

• Lecture 08. The Normal Distribution

• Lecture 10. Sampling Distributions

Chapter 4. ESTIMATION

• Lecture 11. Estimating the Mean and the Difference between two Population Means

• Lecture 12. Estimating Proportions and the Difference between two Population Proportions

• Lecture 13. Sample Size Determination

Chapter 5. HYPOTHESIS TESTING

• Lecture 14. Basic Concepts of Hypothesis Testing

• Lecture 15. One-Sample t- and z-Tests

• Lecture 16. Independent and Paired Samples t-Tests

• Lecture 17. Chi-Square Test for Independence and Goodness of Fit

Chapter 6. CORRELATION AND REGRESION

• Lecture 18. Pearson Correlation

• Lecture 19. Simple Linear Regression

Chapter 7. ANALYSIS OF VARIANCE

• Lecture 20. One-way ANOVA

• Lecture 21. Post-Hoc Tests for One-way ANOVA

Chapter 8. STATISTICAL ETHICS

• Lecture 22. Ethical Guidelines in Statistical Practice

• Week 1 (15.10.22) - No synchronous classes, instructor on Official Travel; reading and distribution of class materials

• Week 2 (22.10.22) - First actual meeting; Introduction, overview, and GTKY; Chapter 1 Lectures 01 and 02;

• Week 3 (29.10.22) - Chapter 1 Lecture 03; Activity 01; Chapter 02 Lectures 04 and 05

• Week 4 (05.11.22) - Chapter 02 Lecture 06; Activity 02

• Week 5 (12.11.22) - Chapter 03 Lectures 07 and 08; Activity 03

• Week 6 (19.11.22) - Presentation of Activity 03 outputs; Chapter 04 Lecture 09

• WEEK 1 - 15.10.22 (No synchronous classes)WEEK 2 - 22.10.22