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NOC:Descriptive Statistics with R Software
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NOC:Descriptive Statistics with R Software
by Professor Dr. Shalabh

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differenc...

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About This Course

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differenc...

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Course Curriculum
8 Sections | 34 Lecture | 22h 48min total length
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NOC:Descriptive Statistics with R Software

Week 1: Calculations with R Software

| 02h 29min total length
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    Lecture 01 : Introduction to R Software?

    22m <?php echo $alt; ?>
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    Lecture 02 : Basics and R as a Calculator?

    17m <?php echo $alt; ?>
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    Lecture 03 : Calculations with Data Vectors??

    33m <?php echo $alt; ?>
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    Lecture 04 : Built-in Commands and Missing Data Handling?

    45m <?php echo $alt; ?>
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    Lecture 05 : Operations with Matrices?

    31m <?php echo $alt; ?>
NOC:Descriptive Statistics with R Software

Week 2: Introduction to Descriptive statistics, frequency distribution

| 02h 42min total length
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    Lecture 06 : Objectives, Steps and Basic Definitions??

    31m <?php echo $alt; ?>
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    Lecture 07 : Variables and Types of Data??

    38m <?php echo $alt; ?>
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    Lecture 08 : Absolute Frequency, Relative Frequency and Frequency Distribution

    46m <?php echo $alt; ?>
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    Lecture 09 : Frequency Distribution and Cumulative Distribution Function??

    46m <?php echo $alt; ?>
NOC:Descriptive Statistics with R Software

Week 3: Graphics and plots

| 02h 29min total length
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    Lecture 10 : Bar Diagrams??

    40m <?php echo $alt; ?>
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    Lecture 11 : Subdivided Bar Plots and Pie Diagrams??

    44m <?php echo $alt; ?>
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    Lecture 12 : 3D Pie Diagram and Histogram

    32m <?php echo $alt; ?>
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    Lecture 13 : Kernel Density and Stem - Leaf Plots??

    32m <?php echo $alt; ?>
NOC:Descriptive Statistics with R Software

Week 4: Central tendency of data

| 02h 58min total length
  • <?php echo $alt; ?>

    Lecture 14 : Arithmetic Mean

    32m <?php echo $alt; ?>
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    Lecture 15 : Median

    32m <?php echo $alt; ?>
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    Lecture 16 : Quantiles?

    29m <?php echo $alt; ?>
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    Lecture 17 : Mode, Geometric Mean and Harmonic Mean

    36m <?php echo $alt; ?>
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    Lecture 18 : Range, Interquartile Range and Quartile Deviation??

    47m <?php echo $alt; ?>
NOC:Descriptive Statistics with R Software

Week 5: Variation in dataction

| 02h 25min total length
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    Lecture 19 : Absolute Deviation and Absolute Mean Deviation?

    47m <?php echo $alt; ?>
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    Lecture 20 : Mean Squared Error, Variance and Standard Deviation

    49m <?php echo $alt; ?>
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    Lecture 21 : Coefficient of Variation and Boxplots??

    48m <?php echo $alt; ?>
NOC:Descriptive Statistics with R Software

Week 6: Moments, Association of variables

| 02h 10min total length
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    Lecture 22 : Raw and Central Moments

    48m <?php echo $alt; ?>
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    Lecture 23 : Sheppard's Correction, Absolute Moments and Computation of Moments

    39m <?php echo $alt; ?>
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    Lecture 24 : Skewness and Kurtosis

    42m <?php echo $alt; ?>
NOC:Descriptive Statistics with R Software

Week 7: Association of variables

| 03h 24min total length
  • <?php echo $alt; ?>

    Lecture 25 : Univariate and Bivariate Scatter Plots??

    42m <?php echo $alt; ?>
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    Lecture 26 : Smooth Scatter Plots??

    26m <?php echo $alt; ?>
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    Lecture 27 : Quantile- Quantile and Three Dimensional Plots??

    26m <?php echo $alt; ?>
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    Lecture 28 : Correlation Coefficient??

    53m <?php echo $alt; ?>
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    Lecture 29 : Correlation Coefficient Using R Software??

    53m <?php echo $alt; ?>
NOC:Descriptive Statistics with R Software

Week 8: Association of variables, Fitting of Linear Models

| 04h 09min total length
  • <?php echo $alt; ?>

    Lecture 30 : Rank Correlation Coefficient??

    53m <?php echo $alt; ?>
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    Lecture 31 : Measures of Association for Discrete and Counting Variables ( Part -1 )?

    47m <?php echo $alt; ?>
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    Lecture 32 : Measures of Association for Discrete and Counting Variables ( Part -2 )

    47m <?php echo $alt; ?>
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    Lecture 33 : Least Squares Method - One Variable??

    54m <?php echo $alt; ?>
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    Lecture 34 : Least Squares Method - R Commands and More than One Variables??

    45m <?php echo $alt; ?>
show 5 more sections
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