UNIVERSITY OF SARGODHA
DEPARTMENT OF AGRICULTURAL ECONOMICS
COURSE OUTLINE FALL 2020-21
Course Title: STATISTICAL METHODS FOR ECONOMISTS
Course Code: AE-307
Credit Hours: 3(2-1)
Instructor: Hanzala Zulfiqar
Email: [email protected]
DESCRIPTION & OBJECTIVES
The objective of this course is to introduce the student to statistics. After completing the course, students will be able to apply the statistical tools and techniques in the field of Agricultural Economics.
READINGS
TEXT BOOKS:
REFERANCE MATERIAL:
CONTENTS
Index numbers, the concept of Index Numbers, Different types of indices and their uses; Random Variables and their distribution, probability and Density function, Estimation of Parameters, Properties of Estimators, Confidence interval of means and proportions, Variance of normal distribution, Variance and Covariance, Hypothesis testing, Chi Square Test, Analysis of Variance (ANOVA), Correlation, Introduction to Regression Analysis; Application of software to various estimation techniques.
COURSE SCHEDULE
Week |
Topics and Readings |
1. |
Index numbers, the concept of Index Numbers “Statistics for Business and Economics”, Anderson et al., Page no: 951-959 |
2. |
Types and Uses of Index Numbers “Statistics for Business and Economics”, Anderson et al., Page no: 959-966 |
3. |
Probability and its distribution “Statistics and Econometrics”, Salvatore and Reagle, Page no.: 36-62 |
4. |
RandomVariable and Distribution Functions “An Introduction to the Science of Statistics: From Theory to Implementation”, page no.: 111-127 |
5. |
Overview of Estimation “An Introduction to the Science of Statistics: From Theory to Implementation”, page no.: 213-230 |
6. |
Method of Moment “An Introduction to the Science of Statistics: From Theory to Implementation”, page no.:231-240 |
7. |
Unbiased Estimation “An Introduction to the Science of Statistics: From Theory to Implementation”, page no.: 241-260 |
8. |
Interval Estimation “An Introduction to the Science of Statistics: From Theory to Implementation”, page no.: 281-300 |
9. |
Hypothesis Testing “An Introduction to the Science of Statistics: From Theory to Implementation”, page no.: 303-340 |
10. |
Variance Analysis “Statistics for Business and Economics”, Anderson et al., Page no: 545-582 |
11. |
Chi-Square test “Statistics” 4th Edition, Spiegel and Stephens, Page no.: 294-299 |
12. |
Correlation “Statistics” 4th Edition, Spiegel and Stephens, Page no.: 345-381 |
13. |
Multiple and Partial Correlation “Statistics” 4th Edition, Spiegel and Stephens, Page no.: 282-402 |
14. |
Simple Linear Regression “Statistics for Business and Economics”, Anderson et al., Page no: 951-959 |
15. |
Multiple Linear Regression “Statistics for Business and Economics”, Anderson et al., Page no: 951-959 |
16. |
Regression Analysis (Model Building) “Statistics for Business and Economics”, Anderson et al., Page no: 951-959 |
RESEARCH PROJECT/ ASSIGNMENTS
1: After practical save all outputs in a MS word document and submit this assignment before next class.
ASSESSMENT CRITERIA
Sessional: 08 (Class Attendance:4, Assignments: 4)
Mid Term Test: 12
Final Term Test: 20+20
RULES AND REGULATIONS
1: The format and due dates of the assignments and midterms will be discussed during the first week of classes. Late assignments will not be accepted. The final exam will be descriptive and practical will be computer based.
2: 80 % class attendance is required to get 2 Marks.
Time Table | ||||||||
Day | 8:00-8:50 | 8:50-9:40 | 9:40-10:30 | 10:30-11:20 | 11:20-12:10 | 12:10-1:00 | 2:00-2:50 | 2:50-3:40 |
Tuesday | AE-307 (P) | |||||||
Thursday | AE-307 (T) | |||||||
Friday | AE-307 (T) |