Course11110412037 lectures
Descriptive Statistics with R Software
Prof. Prashant Jha and Prof. Shalabh · IIT Kanpur
Lectures
Week 1: Calculations with R Software
- Lecture 01 : Introduction to R Software
- Lecture 02 : Basics and R as a Calculator
- Lecture 03 : Calculations with Data Vectors
- Lecture 04 : Built-in Commands and Missing Data Handling
- Lecture 05 : Operations with Matrices
Week 2: Introduction to Descriptive statistics, frequency distribution
- Lecture 06 : Objectives, Steps and Basic Definitions
- Lecture 07 : Variables and Types of Data
- Lecture 08 : Absolute Frequency, Relative Frequency and Frequency Distribution
- Lecture 09 : Frequency Distribution and Cumulative Distribution Function
Week 3: Graphics and plots
- Lecture 10 : Bar Diagrams
- Lecture 11 : Subdivided Bar Plots and Pie Diagrams
- Lecture 12 : 3D Pie Diagram and Histogram
- Lecture 13 : Kernel Density and Stem - Leaf Plots
Week 4: Central tendency of data
- Lecture 14 : Arithmetic Mean
- Lecture 15 : Median
- Lecture 16 : Quantiles
- Lecture 17 : Mode, Geometric Mean and Harmonic Mean
- Lecture 18 : Range, Interquartile Range and Quartile Deviation
Week 5: Variation in data
- Lecture 19 : Absolute Deviation and Absolute Mean Deviation
- Lecture 20 : Mean Squared Error, Variance and Standard Deviation
- Lecture 21 : Coefficient of Variation and Boxplots
Week 6: Moments, Association of variables
- Lecture 22 : Raw and Central Moments
- Lecture 23 : Sheppard's Correction, Absolute Moments and Computation of Moments
- Lecture 24 : Skewness and Kurtosis
Week 7: Association of variables
- Lecture 25 : Univariate and Bivariate Scatter Plots
- Lecture 26 : Smooth Scatter Plots
- Lecture 27 : Quantile- Quantile and Three Dimensional Plots
- Lecture 28 : Correlation Coefficient
- Lecture 29 : Correlation Coefficient Using R Software
Week 8: Association of variables, Fitting of Linear Models
- Lecture 30 : Rank Correlation Coefficient
- Lecture 31 : Measures of Association for Discrete and Counting Variables ( Part -1 )
- Lecture 32 : Measures of Association for Discrete and Counting Variables ( Part -2 )
- Lecture 33 : Least Squares Method - One Variable
- Lecture 34 : Least Squares Method - R Commands and More than One Variables
Live Session
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Kanpur
- Department
- Management
- Taught by
- Prof. Prashant Jha, Prof. Shalabh
- Level
- Undergraduate
- Language
- English
- Subjects
- Business and management
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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