This course will focus on the descriptive portion of statistics, giving an extensive overview of the various ways in which data will be transformed into information.

At the end of this course students will be able to understand:

  • How to collect data through primary and secondary sources
  • How to classify and tabulate data through various ways
  • How to measure central tendency
  • Measure of Dispersion
  • How to construct index numbers
  • How to calculate the probability in certain events

Time of Class:

  • Monday / Tuesday at 11:00am - 12.30pm

Text Book:

Prof. Sher Muhammad Chaudhry & Prof. Dr. Shahid Kamal (2014) Introduction To Statistical Theory, Part-1, Ilmi Kitab Khana

Assessment Criteria

  • Practical                      :  20 
  • Mid Term Exams       :  30
  • Final Term exam       :  50

Rules and Regulations

  • 80 % class attendance is a must.
  • Assignments would not be accepted after the due date.
  • Originality of work would be ensured in case of assignments.

COURSE SCHEDULE

 

Week

Topics and Readings

1.

Observations & Variables

Collection of Data

2.

Classification

Tabulation

3.

Frequency Distribution

Graphical Representation

4.

Diagrams

Diagrams

5.

Graphs

Graphs

6.

Class Test + Booklet Overview

Arithmetic Mean (Grouped)

7.

Arithmetic Mean (Ungrouped)

Geometric mean

8.

Harmonic mean

Mode

MID TERM

9.

Median

Median (Quartiles)

10.

Median (Deciles)

Median (Percentiles)

11.

Merits and Demerits of Various Averages

The Mean Deviation

12.

Variance

Standard Deviation

13.

Probability

Probability

14.

Class Test + Booklet Overview

Construction of Index Numbers of Prices

15.

Un-Weighted Index Numbers

Weighted Index Numbers

16.

Quantity Index Numbers

Consumer Price Index

SOLVED EXERCISE BOOKLET

A project will be held throughout the semester which will consist of making a booklet of solved questions of various exercises given to the students after every class. These questions (exercises) will be according to the lectures delivered with respect to the given course outline.