Statistics Fundamentals and its Applications

Statistics Fundamentals and its Applications

Learn Theoretical and Practical Applications of DESCRIPTIVE STATISTICS for Data Analysis

What you’ll learn

  • Understand the Basics of Descriptive Statistics

Requirements

  • Interest in Statistics

Description

  • Measures of Central Tendency
    • Arithematic Mean
    • Geometric Mean
    • Harmonic Mean
    • Median
    • Mode
  • Properties and applications of Measures of Central Tendency
  • Arithematic Mean and Geometric Mean of Combined Series
  • Partition Values
    • Quartiles
    • Deciles
    • Percentiles
  • Properties and application of Partition Values
  • Related Theorems
  • Measures of Dispersion-
    • Range
    • Quartile Deviation
    • Mean Deviation
    • Standard Deviation
  • Properties and application of Measures of Dispersion
  • Variance
  • Variance of Combined Series
  • Coefficients of Dispersion
  • Coefficients of Variation
  • Moments
  • Skewness and its coefficients- Karl Pearsons and Bowleys with applications.

Who this course is for:

Course content

13 sections • 36 lectures • 3h 17m total length
  • Introduction
  • Geometric Mean & it’s Applications
  • Median
  • Mode
  • Harmonic Mean
  • Weighted Mean
  • Partition Values
  • Ogives OR Cumulative Frequency Curves
  • Dispersion
  • Measures of Dispersion
  • Coefficient of Dispersion & Coefficient of Variation
  • Moments
  • Skewness

Created by: Amba Kumari Tutor/Lecturer at Udemy

Last updated 3/2020
English
 (Direct Download Available)

(524 ratings)
11,372 students
https://www.udemy.com/course/statistics-fundamentals/

Download link



Friendly Websites





Related Posts

Add a Comment

Your email address will not be published. Required fields are marked *