Course or series
Descriptive Statistics with R Software
NPTEL — National Programme on Technology Enhanced Learning
Lecture 01 : Introduction to R Software
“Lecture 01 : Introduction to R Software” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 02 : Basics and R as a Calculator
“Lecture 02 : Basics and R as a Calculator” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 03 : Calculations with Data Vectors
“Lecture 03 : Calculations with Data Vectors” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 04 : Built-in Commands and Missing Data Handling
“Lecture 04 : Built-in Commands and Missing Data Handling” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 05 : Operations with Matrices
“Lecture 05 : Operations with Matrices” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
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Lecture 06 : Objectives, Steps and Basic Definitions
Introduces the purpose of descriptive statistics, the distinction between a sample and a population, and numerical and graphical ways to summarise variation. The instructor explains that the course focuses on implementing these tools in R.
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Lecture 07 : Variables and Types of Data
Explains types of variables and data using examples such as clothing sizes and prices. The inspected passages also distinguish sources of data, including surveys and primary and secondary collection.
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Lecture 08 : Absolute Frequency, Relative Frequency and Frequency Distribution
Builds absolute and relative frequency tables, moving from category counts to proportions. The checked R material shows how table and length operations implement the denominator used in the summary.
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Lecture 09 : Frequency Distribution and Cumulative Distribution Function
Groups observations into intervals and constructs frequency and cumulative-frequency summaries. The inspected race-time example uses R operations such as cut and table to show how grouping decisions become calculations.
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Lecture 10 : Bar Diagrams
Creates bar diagrams from frequency tables and relative frequencies. The inspected examples show how category counts, denominators, labels and graphical parameters affect the resulting display in R.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 11 : Subdivided Bar Plots and Pie Diagrams
“Lecture 11 : Subdivided Bar Plots and Pie Diagrams” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
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Lecture 12 : 3D Pie Diagram and Histogram
Demonstrates three-dimensional pie diagrams and then introduces histograms for grouped numerical data. The inspected histogram passage distinguishes the roles of bar height and width, followed by R labelling options.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 13 : Kernel Density and Stem - Leaf Plots
“Lecture 13 : Kernel Density and Stem - Leaf Plots” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
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Lecture 14 : Arithmetic Mean
Develops the arithmetic mean for raw and grouped observations, including weighted calculations. The inspected R examples address missing entries and show that the values included in the calculation determine the result.
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Lecture 15 : Median
Explains the median through ordered observations and partitioning a distribution. The inspected material compares grouped calculations with R output and demonstrates the treatment of missing entries.
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Lecture 16 : Quantiles
Introduces quantiles, quartiles and percentiles, including the difference between a value and its position in a distribution. The checked R material exposes options for probabilities, calculation type and missing observations.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 17 : Mode, Geometric Mean and Harmonic Mean
“Lecture 17 : Mode, Geometric Mean and Harmonic Mean” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
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Lecture 18 : Range, Interquartile Range and Quartile Deviation
Shows why distributions with a similar centre can have different spreads. The inspected examples calculate the range and interquartile range in R and discuss how these summaries use different parts of the observations.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 19 : Absolute Deviation and Absolute Mean Deviation
“Lecture 19 : Absolute Deviation and Absolute Mean Deviation” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 20 : Mean Squared Error, Variance and Standard Deviation
“Lecture 20 : Mean Squared Error, Variance and Standard Deviation” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 21 : Coefficient of Variation and Boxplots
“Lecture 21 : Coefficient of Variation and Boxplots” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 22 : Raw and Central Moments
“Lecture 22 : Raw and Central Moments” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 23 : Sheppard's Correction, Absolute Moments and Computation of Moments
“Lecture 23 : Sheppard's Correction, Absolute Moments and Computation of Moments” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 24 : Skewness and Kurtosis
“Lecture 24 : Skewness and Kurtosis” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
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Lecture 25 : Univariate and Bivariate Scatter Plots
Introduces scatterplots for paired numerical observations, including study-hours and marks examples. The inspected R sequence discusses labels, plot types and display choices when showing a relationship.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 26 : Smooth Scatter Plots
“Lecture 26 : Smooth Scatter Plots” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 27 : Quantile- Quantile and Three Dimensional Plots
“Lecture 27 : Quantile- Quantile and Three Dimensional Plots” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
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Lecture 28 : Correlation Coefficient
Introduces covariance and the correlation coefficient as descriptions of a linear relationship between two numerical variables. The inspected passages use cross-products and discuss the symmetry of the association.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 29 : Correlation Coefficient Using R Software
“Lecture 29 : Correlation Coefficient Using R Software” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 30 : Rank Correlation Coefficient
“Lecture 30 : Rank Correlation Coefficient” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 31 : Measures of Association for Discrete and Counting Variables ( Part -1 )
“Lecture 31 : Measures of Association for Discrete and Counting Variables ( Part -1 )” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 32 : Measures of Association for Discrete and Counting Variables ( Part -2 )
“Lecture 32 : Measures of Association for Discrete and Counting Variables ( Part -2 )” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 33 : Least Squares Method - One Variable
“Lecture 33 : Least Squares Method - One Variable” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
NPTEL — National Programme on Technology Enhanced Learning
Lecture 34 : Least Squares Method - R Commands and More than One Variables
“Lecture 34 : Least Squares Method - R Commands and More than One Variables” is listed in Descriptive Statistics with R Software. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.