Decoding Data: Basic Concepts of Statistics (Generic Elective Course)

Paper Code: 
24GSTT301
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This course would help the student to understand the statistical concepts, including data types, data presentation, measures of central tendency and dispersion, and correlation analysis, enabling them to effectively analyze and interpret data in various contexts.

 

Course Outcomes: 

Course

Course Outcomes

Learning and teaching strategies

Assessment Strategies

Course Code

Course Title

24GSTT301

Decoding Data: Basic Concepts of Statistics

CO 1: Examine the fundamental concepts and scope of statistics, and understand the significance of different types of data in statistical analysis.

CO 2: Explore various methods of data presentation for summarizing and communicating statistical information.

CO 3: Analyze and interpret measures of central tendency and comprehend their applications and limitations in data analysis.

CO 4: Evaluate measures of dispersion to understand data variability and their importance in statistical analysis.

CO 5: Demonstrate the types of correlation and evaluate its significance for analyzing relationships between variables.

CO6: Contribute effectively in course-specific interaction.

Approach in teaching:

Interactive Lectures,

Group Discussion,

Classroom Assignment

Problem Solving Sessions

 

Learning activities for the students:

Assignments

Seminar

Presentation

Subject based Activities

Classroom Quiz

Assignments

Class Test

Individual Presentation

 

12.00
Unit I: 
Definition, Scope of Statistics & Types of Data

Applications of statistics in various fields. Types of Data: Qualitative & Quantitative, Discrete & Continuous, Geographical & Chronological, Primary & Secondary.

 

12.00
Unit II: 
Presentation of Data

Tabular representation: frequency distribution tables. Graphical representation: histograms, bar charts, pie charts, and box plots.

 

12.00
Unit III: 
Measures of Central Tendency

Mean, Median, Cumulative Frequency & Ogive Curve, and Mode. Properties (without proof), Limitations and Applications of measures of central tendency.

 

12.00
Unit IV: 
Measures of Dispersion

Range, Standard Deviation, and Coefficient of Variation.

 

12.00
Unit V: 
Correlation

Types of Correlation, Karl Pearson coefficient of correlation and Properties of correlation coefficient.

 

Essential Readings: 
  • Goon, A.M., Gupta, M.K. and Dasgupta, B. (1991): Fundamentals of Statistics, Volume I, The World Press Pvt    Ltd, Calcutta
  • Agrawal, B.L. (2013): Basic statistics, New Delhi: New Age publishers.
  • Gupta, S.C. and Kapoor, V.K. (2000): Fundamentals of Mathematical Statistics, S Chand & Company, New Delhi.
  • Mood Alexander M., Graybill Frankline and Boes Duane C. (2007): Introduction to Theory of Statistics, Mc Graw Hill & Company Third Edition

 

SUGGESTED READINGS

  • Sharma, G.C. and Jain, Madhu (2001): Essential Mathematics, Galgotia Publications Pvt Ltd.
  • Yule, G.Udny and Kendall,M.G. (1999): An Introduction to the theory of Statistics,14th Edition.
  • Hooda, R.P. (2002): Introduction to Statistics: Macmillan India Ltd. 1st edition.
  • Speigel M.R., (1967): Theory and Problem of Statistics, Schaum’s Series.

 

e-RESOURCES:

 

JOURNALS:

  • Sankhya The Indian Journal of Statistics, Indian Statistical Institute
  • Aligarh Journal of Statistics, Department of Statistics and Operations Research, Aligarh Muslim University
  • Afrika Statistika, Saint-Louis Senega University
  • International Journal of Statistics and Reliability Engineering, Indian Association for Reliability and Statistic
  • Journal of the Indian Society for Probability and Statistics, Indian Society for Probability and Statistics
  • Journal of the Indian Statistical Association, Indian Statistical Association
  • Statistica, Department of Statistical Sciences Paolo Fortunato, University of Bologna
  • Statistics and Applications, Society of Statistics, Computer and Applications
  • Stochastic Modeling and Applications, MUK Publications and Distributions

 

Academic Year: 
2024-2025
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