Descriptive and Inferential Statistics

In this course we shall:

• discuss the importance of doing Statistics
• collect, summarize, present, and analyze data
• utilize electronic tools in dealing with data
• practice responsible use of statistics

This course shall cover ten chapters namely:

1. Basic Statistical Concepts
2. Descriptive Statistics
3. Probability
4. Distributions
5. Sampling and Sampling Distributions
6. Estimation
7. Tests of Hypothesis
8. Correlation and Regression
9. Analysis of Variance
10. Statistical Ethics

High school mathematics is enough to be ready for this course. Simple arithmetic and the familiarity in the use of calculators might be important. Literacy in the use of computer software, especially spreadsheets such as Microsoft Excel or Google Sheets and other statistical packages would be helpful.

Technology will be used extensively for the whole semester. Hence, the availability of electronic devices (such as smartphones or laptops) and internet connectivity will be helpful.

• 35 Lecture Exercises (one from each lecture)
• 10 Quizzes (one from each chapter)
• 2 Major Examinations (one from each term period)
• 1 Project

Cut-off score is 50% for all course requirements.

Answers to exercises and quizzes shall be written in sheets of 1/4 of short-sized bond paper. Take a photo of each page and send them as attachment to my e-mail address jdselle@up.edu.ph with subject properly indicating which course requirement is being submitted (for example "GEE-DIS Quiz No. 1"). Then, in the body of the mail, write your full name, course, year, and block section (I encourage you to do this in formal and complete sentences). The reason why it is required to write in 1/4 sheets is to enhance visibility. (Photos of whole-sized paper are sometimes difficult to read). You are allowed to use as many 1/4 sheets as you would need.

Subject to circumstances, major exams will be conducted in the campus. This shall be properly arranged and instructions shall be announced to you.

• Rice University (2013). Introductory statistics. Rice University. Access for free here.
• Griffiths (2009). A brain-friendly guide: Head first Statistics. O'Reilly Media.
• Anderson, et al. (2018). Statistics for business and economics. Cengage Learning.