top of page

MCA206: Statistical and Numerical Methods (Jan - June 2023)

Table of Content
01 - Evaluation Scheme
02 - Lecture Resources
03 - Lab Experiments

Evaluation Scheme

Evaluation Scheme.PNG

Lecture Resources

  • Topic01 - Frequency distribution; Measure of central tendency and dispersion.  |  Link
  • Topic02 - Basic concepts of probability and its properties | Link
  • Topic03 - Random variable | Link
  • Topic04 - Additive and multiplicative theorem of probability | Link
  • Topic05 - Conditional probability and independent events | Link
  • Topic06 - NA | Link
  • Topic07 - NA | Link

Lab Resources

General Instructions
  • All experiments are mandatory.
  • Evaluation will be based on experiments performed during lab
​​​
  • Lab01
    • Basics of R - Part 1
      • Install R and R Studio and Practice "Basics of R" | Link​
  • Lab02
    • Basics of R - Part 2
      • Practice Chapter 5 and Chapter 6 from "05 - R for Everyone - Advanced Analytics and Graphics" book | Link
  • Lab03
    • Basics of R - Part 3
      • Explore and Practice Chapter 6, 7, 8, 9, and 10 from "05 - R for Everyone" book | Link​
  • Lab04
    • Basics of R - Part 4
      • Practice Chapter 11, 12, and 13 from "05 - R for Everyone" book | Link
  • Lab05
    • Advance of R - Part 1
      • Practice Chapter 14, 15, 16, 17, 18 and 19 from "05 - R for Everyone" book | Link
  • Lab06
    • Random Number Generation using LCM​
    • Perform experiment in the appended assignment | Link
bottom of page