### Basics Statistics (STAT-5212)

Introduction

This Subject is based on Basic Statistics.Statistics is important for library and Information Sciences because it helps to estimate, predict, test hypothesis and make wise decisions. Statistics does not only help to present data but most importantly to interpret such data.The largest benefit of Statistics  is that you can simulate, with pretty high confidence - behavioral patterns to situations that you don't have at hand.Statistical knowledge helps you use the proper methods to collect the data, employ the correct analyses, and effectively present the results. Statistics is a crucial process behind how we make discoveries in science, make decisions based on data, and make predictions.Statistics is a datum that can be represented numerically.  Statistics is also the science of collecting, organizing, processing, analysing and interpreting data. Through statistics we get meaningful information out of massive amount of data for communication and research. .With the knowledge of statistics, librarians can adequately interpret raw data to their audience.

Course Pre-requisite

Statistics is a topic within applied mathematics. Students are encouraged to refresh their basic mathematical skills prior to the course, or alternatively, to be prepared to spend some extra effort on mathematics during the course.

Learning Outcomes:

• Students will summarize data visually and numerically.
• Students will create quantitative models to solve real world problems in appropriate contexts.
• Students will clearly communicate quantitative ideas both orally and in writing to a range of audiences.

Syestem Evaluation:

• Assignments 10%
• Class Attendance/Class Participation/Presentation  10%
• Mid Term Paper 30%
• Final Term 50 %

RECOMMENDED BOOK:

• Fundamentals of Statistics by H. Mulholland C. R. Jones
•  Introduction to Statistics by Sher.Muhammad Chaudhary.

Contents:

• Introduction to Statistics, Uses of Statistical Information
•  Applications of Statistics , Imporatance of  Statistics
• Collection of data,Classification of data, Observation and Variable
• Measurement Scales,Error of Measurement
• Presentation of Data, Basic Principle of Classification
• Types of Tables, Frequency Distribution, Construct a Grouped Frequency Distribution
• Class Boundaries, Class Limits, Class Mark
• Stem and leaf Display ,Graphical Representation, Diagrams and Graphs
• Introduction to Central Tendency,Criteria of a Satisfactory Averages
• Types of Averages,Median,Mode,Quantile
• Box and Whisker Plot
• Introduction to Measure of Dispersion(Range,Quartile deviation)
• Variance and Standard Deviation
• Trimmed and Winsorized Mean
• Moments,Skewness,Kurtosis
• Describing a Frequency Distribution

Class Time

BS III Reg

Tuesday 08:00 AM - 09:30 AM

Thursday 08:00 AM - 09:30 AM

BS III SS

Monday 01;00 PM - 2;30 PM

Tuesday 02:30 PM - 04:00 PM