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DISCIPLINE SPECIFIC MINOR COURSES

SEMESTER I

B1 – DISCIPLINE SPECIFIC MINOR COURSE
KU1DSCSTA121: INTRODUCTORY STATISTICS
SemesterCourse TypeCourse LevelCourse CodeCreditsTotal Hours
IMINOR100 – 199KU1DSCSTA121460

Learning Approach (Hours/Week) / Marks Distribution
LecturePractical/InternshipTutorialCEESETotalDuration of ESE (Hours)
4--30701002
Course Description

This course covers statistical methods including data classification, sources of data, sampling techniques, measures of central tendency and dispersion, moments, skewness, and kurtosis, providing a comprehensive understanding of data analysis and interpretation.

Course Prerequisite

HSE level Mathematics/Statistics Courses

Course Outcomes
CO No.Expected OutcomeLearning Domains
1 Students will be able to identify and classify data based on nominal, ordinal, interval, and ratio scales of measurement. R
2 Students will understand the concepts of primary and secondary data and their respective sources. U
3 Students will be able to compare census and sample survey methods, and understand the principal steps involved in a sample survey. An
4 Students will understand and be able to apply simple random sampling, stratified random sampling, and systematic random sampling for data collection. A
5 Students will be able to compute measures of central tendency (mean, median, mode, etc.), dispersion (range, quartiles, standard deviation, etc.), moments, skewness, and kurtosis, and interpret their properties and significance in data analysis E
COURSE CONTENTS
Contents for Classroom Transaction
ModuleDescriptionHoursContents
1 Statistical Methods 12
  1. Different types of data: Scales of measurement - Nominal, ordinal, interval and ratio, Classification of data
  2. Source of data: Primary and Secondary data, their sources
  3. Census and Sampling method: Definitions, Comparison of census method and sample survey method, Principal steps in a sample survey
  4. Probability sampling – simple random sampling, stratified and systematic random sampling, non-probability sampling (concepts only)
2 Measures of Central Tendency 12
  1. Definition and properties of various measures of central tendency
  2. Arithmetic Mean, Median, Mode
  3. Geometric Mean, Harmonic Mean and weighted averages
  4. Partition values - Quartiles, Deciles, Percentiles
3 Measures of Dispersion 12
  1. Definition and properties of various measures of dispersion - Range, Quartile Deviation, Mean Deviation, Standard Deviation
  2. Properties and relative measures of dispersion (Coefficient of range, Coefficient of quartile deviation, Coefficient of variation, Coefficient of mean deviation)
4 Moments 12
  1. Definitions of raw and central moments, calculation of moments
  2. Relationship between raw and central moments
  3. Skewness: Definition and various measures of skewness
  4. Kurtosis - Definition and various measures of kurtosis
5 Open End 12 Practical using MS Excel
History of Statistics, Data entry using MS Excel, Understanding the usage of various statistical and mathematical functions in Excel, Preparation of diagrams and analysis of data using methods explained in Module 2 to 4 by Excel, Preparation and submission of a report.
Essential Readings
  1. Gupta, S. C. & Kapoor, V. K. (1980). Fundamentals of Mathematical Statistics, Sultan Chand & Sons, New Delhi.
  2. Gupta, S. C. & Kapoor, V. K. (1994). Fundamentals of Applied Statistics, Sultan Chand & Sons, New Delhi.
  3. Gupta, S. P. (2004). Statistical Methods, Sultan Chand & Sons, New-Delhi.
Suggested Readings
  1. Mukhopadhyay, P. (1996). Mathematical Statistics, New Central Book Agency (P) Ltd., Kolkata.
  2. Agarwal, B. L. (2006). Basic Statistics, 4th Edition, New Age International (P) Ltd., New Delhi.

SEMESTER I

B2 – DISCIPLINE SPECIFIC MINOR COURSE
KU1DSCSTA122: STATISTICAL METHODS
SemesterCourse TypeCourse LevelCourse CodeCreditsTotal Hours
IMINOR100 – 199KU1DSCSTA122460

Learning Approach (Hours/Week) / Marks Distribution
LecturePractical/InternshipTutorialCEESETotalDuration of ESE (Hours)
4--30701002