TEXT Book

Introduction to Statistics: An Islamic Approach

PRELIMINARY BACKGROUND IN EXCEL is required for this course: Students can learn basics of EXCEL required for this course from the following webpage: EXCEL LESSONS.

More advanced course: Applied Econometrics, See also, DHSY website for more detailed explanations of Encompassing and the Hendry Methodology.

Course offered in Management Department at Arid Agricultural University started at Feb 22, 2016. Details on: ARID Intro Stats Home Page.

See Also: Bayesian Econometrics

For a description of special features of the course, and an outline, see DESCRIPTION.

There are quizzes (often TWO quizzes) associated with each lecture -- one is a comprehension quiz which tests understanding of the lecture, second is a computational quiz, which asks student to do spreadsheet calculations of concepts developed in the lecture. These quizzes are available with each lecture.

OUTLINE OF COURSE:

Lecture 1: Islamic Approaches to Knowledge = INTRODUCTORY MATERIAL: { First Lecture provides motivation for nature & structure of this radically different approach to statistics}

UNIT 1: DESCRIPTIVE STATISTICS

Introduction to Statistics: An Islamic Approach

Part 1: Descriptive Statistics

Lecture 2: COMPARISONS Part I: Number Facts and Fictions

Lecture 3: COMPARISONS: Part II: Sorting, Ranking and: Percentiles,

Lecture 4: COMPARISONS: Part III: Index Numbers

Lecture 5: Arbitrary Rankings

Lecture 6: REPRESENTING & Bench-Marking (Mean, Median and Mode)

Lecture 7: Measures of Spread, and Outliers.

Lecture 8: Boxplots.

Lecture 9: Histograms

Lecture 10: Densities

Lecture 11: Bivariate Relationships

UNIT TWO: Fundamental of Probability: UNIVARIATE CASE

These lectures are now being replaced by a NEWLY DESIGNED part II for this course:

Introduction to Statistics: An Islamic Approach

Part 2: Probability and Statistics

Lecture 1: Random Samples.

Lecture 2: Bernoulli Sequences.

Lecture 3: Discrete Random Variables.

Lecture 4: Continuous Random Variables.

Lecture 5: Expectations, Moments & MGF.

Lecture 6: Central Limit Theorem.

CONCLUDING LECTURE: Explains why current western methodology is seriously defective:

Lecture XX: Deification of Science

NOTE FOR FUTURE REFERENCE:

MEDIATION, as a topic in path diagrams & causality, should be introduced.