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:
- Those who want to clear fundamentals of statistics
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)
11,372 students
https://www.udemy.com/course/statistics-fundamentals/
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