Objectives
The purpose of this course is to elaborate the basic concepts and knowledge about statistics. The course is designed about the importance of statistics in daily life as well as the uses of statistics in different fields of life such as mathematics, agriculture, marketing, finance, geography, mass communication, computer science, engineering, social sciences, and various fields’ medical science, etc.
Learning Outcomes
This course deals with the graphical representation to gives the general knowledge about how can justify the real life problem throw a graphical way. The course gives the guideline about the measure of the location like arithmetic mean, median, mode, harmonic mean, and geometric mean their uses, advantages and disadvantages with various aspects of real life data set. The application of the measure of dispersion is also an important part of this course. The shape of the distribution, method of identifying the shape of the distribution such as skewness and kurtosis are there in the scheme. The basic concepts of the probability theory, the classical probability with their application in various fields, and the different laws of probability are part of this course. This focuses on the conceptual and numerical formation of descriptive statistics.
| Week | Topics and Reading | Book |
| 1 | Introduction of Statistics, nature and scope | Introduction to Statistical Theory part 1 |
| 2 | Organizing of data and classification of data | Introduction to Statistical Theory part 1 |
| 3 | Graphs and charts, Steam-leaf diagram | Introduction to Statistical Theory part 1 |
| 4 | Box and whisker plos and measurement of scales | Introduction to Statistical Theory part 1 |
| 5 | Introduction of measures of central tendency and their uses | Introduction to Statistical Theory part 1 |
| 6 | Athrimatic mean and properties of arithematic mean | Introduction to Statistical Theory part 1 |
| 7 | Median, quantiles and mode | Introduction to Statistical Theory part 1 |
| 8 | Geometric mean and harmonic mean | Introduction to Statistical Theory part 1 |
| 9 | Introduction to measures of dispersion and their types | Introduction to Statistical Theory part 1 |
| 10 | Range, quartile deviation and mean deviation | Introduction to Statistical Theory part 1 |
| 11 | Variance,standard deviation and their properties | Introduction to Statistical Theory part 1 |
| 12 | Moments about origin and moment about mean | Introduction to Statistical Theory part 1 |
| 13 | Measures of skewness and kurtosis | Introduction to Statistical Theory part 1 |
| 14 | Introduction to probability | Introduction to Statistical Theory part 1 |
| 15 | Addtion law of probability | Introduction to Statistical Theory part 1 |
| 16 | Multiplication law of probability | Introduction to Statistical Theory part 1 |
Rcommeded Books
1. Chaudhary, S. M. (2014). Introduction to statistical theory (8th ed.). Lahore: Ilmi Kitab khana.
2. Clark, G. M. & Cooke, D. (1998). A basic course of statistics (4 th ed.). London: Arnold.
Assessment Criteria:
Exam:Mid(30%),Final(50%),
Sessional(20%):Assignment,Presentations,Class Participation,Quizzes
Time Table: BS Regualr
Wednesday(10:00 to 11:00 AM)
Thursday(10:00 to 11:00 AM)
Friday (8:00 to 09:00 AM)
BS-Self Support
Monday(02:00 PM to 03:00 PM)
Tuesday( 03:00 PM to 04:00 PM)
Friday(03:00 PM to 04:00 PM)
Course Material
- Total Lessons 16
- Department Statistics
- About Visit Profile
-
Teacher
Mr. Waseem Athar Haqqani
