INTRODUCTION

This course describe the concepts of data analysis, presentation, counting techniques and demonstrates the basic concept of statistics. They easily describe the real life applications of statistics as well as the use of statistics in their field. From this, students easily deal with the big data. Furthermore, some basic knowledge of regression are also described in this course . 

COURSE CODE: STAT-300

CREDIT HOURS: 02

PREREQUISITES: None

COURSE LEARNING OUTCOMES

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

• The students  will be able to understand data analysis, modeling and predictions in their respective fields. 
• The content of this course covers all the descriptive statistics and probability models along with some basic touch of regression analysis.

TEXT BOOKS: The recommended text books for this study is:

1. William Navidi, Statistics for Engineers and Scientists. ISBN- 13: 978-0073376332, John Wiley, New York, USA, (2010). 
2. John Schuenemeyer, Larry Drew Statistics for Earth and Environmental Scientists. John Wiley, New York, USA, (2011). 

COURSE CONTENTS

• Introduction to Statistics. 
• Graphical Representations. 
• Measure of Central Tendencies. 
• Quantiles with Interpretation (for ungrouped data). 
• Measures of Dispersion. 
• Basic Probability Theory. 
• Regression. 
• Estimation. 
• Testing of hypothesis. 
• ANOVA
• Chi-Square for Association test. 

COURSE ASSESSMENT

• Final Term Exam: 50 Marks
• Mid Term Exam: 30 Marks
• Sessional: 20 Marks
  • Quiz: 05 Marks
  • Assignment: 05 Marks
  • Project & Presentation: 10 Marks

CLASS TIMING

• BS 6th EX-PPP LHR Campus (Tuesday: 2:00 - 3:00 PM)
• BS 6th EX-PPP LHR Campus (Thursday: 5:00 - 6:00 PM)