INTRODUCTION TO STATISTICS

COURSE OUTLINE PRESENTATION

PREPARED BY: ANIQA KASHIFLECTURER CCS

IBA

COURSE DESCRIPTION The course content includes: types of data,

frequency distributions, measures of central tendency and dispersion, exploratory data analysis, introduction to set and probability theory, events and laws of probability, independence, conditional probability, discrete and continuous random variables, Binomial distribution, Poisson distribution, Normal distribution, index numbers and time series analysis.(IBA prog. Ann. 2009-10).This course will also introduce the use of statistical soft ware packages like SPSS and MINITAB for data inputting, exploration and data analysis.

PRE-REQUISITE: MTS-105 (college Algebra)

Text Books

A. Introductory Statistics by Neil A.Weiss 4th or 5th Edition

B. Introduction to Statistics by Ronald A. Walpole 3rd edition

Reference Book

C. Introduction to Statistical Theory Part 1 by Prof. Sher M. Choudhry and Dr. Shahid Kamal

Teaching aid

•Hand outs•Articles•Visual aids like

• White board• Multi media presentations and demos• Overhead projector slides

•Small class room activities

OUTLINE OF COURSE CONTENTS

What is Statistics?; Descriptive and Inferential Statistics; Significance of statistics and application of Statistics in key functional areas of business; Introduction to key terms; Methods of Sampling

TITLE CHAPTER(S)

SESSION(S)

Nature of Statistics

A1 1-2

Types of variables; Types of data; Organization and graphical presentation of discrete and continuous data;

TITLE CHAPTER(S)

SESSION(S)

Descriptive Statistics

A2, B3.1, B3.2

2-4

Measures of central tendency and dispersion for grouped and ungrouped data; Chebyshev theorem; Z-Scores; Quantiles; Outliers; Exploratory data analysis.

TITLE CHAPTER(S)

SESSION(S)

Descriptive Measures

A3, B2, B3.3,B3.4

5-8

Sets; Events and relationship between events; laws of probability; Conditional and marginal probability; independent and dependent events; Mutually exclusive and exhaustive events; Total probability and Bayes Theorem; Counting techniques; application of counting techniques to the probability.

TITLE CHAPTER(S)

SESSION(S)

Probability Concepts

A4, B4 9-12

Random variables; mean and variance of random variable; discrete and continuous random variables; Binomial distribution; Poisson distribution; Poisson approximation to binomial distribution; mean and variance of binomial and Poisson distribution

TITLE CHAPTER(S)

SESSION(S)

Discrete Random Variables

A5 13-15

Normal random variable; normal probability plots; standard normal distribution; normal approximation to binomial distribution

TITLE CHAPTER(S)

SESSION(S)

Normal Distribution

A6 16-17

Simple linear regression; scatter diagram; error sum of square, regression sum of square ; coefficient of determination and coefficient of correlation

TITLE CHAPTER(S)

SESSION(S)

Descriptive Methods in Regression and Correlation

A13.1,A13.2,A13.3,A13.4,C10

18-20

Simple and aggregative price indices; weighted price indices; weighted aggregative indices (Laspeyers price index, Paasches price index, Fishers Ideal price index); Consumer Price Index (CPI),; Applications of CPI; CPI computation methodology in Pakistan

TITLE CHAPTER(S)

SESSION(S)

Index Numbers C5; Handouts 21-23

Decomposition of time series using the multiplicative model; Seasonally adjusted values; Forecasting

TITLE CHAPTER(S)

SESSION(S)

Time Series Analysis

Handouts 24-26

TITLE CHAPTER(S)

SESSION(S)

Introduction to Minitab and SPSS

Handouts and lab

27-28

Entering the data; exploring and summarizing the data; modifying the data; data analysis

Marks Distribution

Quizzes 10 marks ( best n-1)Assignments 10 (weighted average of all the assignments)Term Examinations 40 Final Examination 40

Total 100

QUIZ METHODOLGY AND GRADING Each quiz will carry 3.33 marks and the final grade will be

averaged out of 10 points.

Generally, the class will be divided into odd and even columns. Separate quizzes will be given to the odd column students and even column students in order to ensure that no unfair means are used by the students.

Some of the quizzes shall be pre-announced and some will be taken at a random surprise basis to test the student’s understanding and comprehension of the previous lectures, assignments or advance assignments of reading.

Students are requested to read and understand the discipline rules given in the program prospectus regarding the use of unfair means in assignments/quizzes/examination.

Quiz duration approx= 10-15 mins

GRADING POLICY OF ASSIGNMENTS

1. All the assignments shall be graded and a weighted average grade will be awarded to the students for the assignments.

2. Each assignment shall be graded according to the following grid:

- + + +A 9.0 9.5 9.8 10.0B 8.0 8.5 8.8 C 7.0 7.5 7.8 D 6.0 6.5 6.8

3. An ‘F” is a ‘0’.

4. Any assignment submitted after the due date shall not be accepted for grading. If any assignment is found to be copied then the respective student(s) shall be awarded with an ‘F” in the respective assignment.

5. The final grade of all the assignments shall be computed as follows:

Suppose student X was given 5 assignments during the course in a semester. Student X submitted all the 5 assignments on time to the teacher for grading. The graded assignments were given the following grades: A++ , A- , B, C+, and D.

A++ 10.00

A- 9.00

B 8.50

C+ 7.80

D 6.50

Total of All X Assignments 41.80

Total of All Assignments 50.00

Percentage 0.836

total points for each assignment 10.00

% age * total points for each assignment 8.36

Final grade 8.36

Internet Resources

www.statsoftinc.com/textbook/stathome.htmlhttp://davidmlane.com/hyperstat/http://www.xist.org/default1.aspx (for global data)www.statpak.gov.pk (for national data)

Counseling Hours

Monday and Thursday by appointment

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