Kurtosis - Pedigogy

Course Content

Few Important questions

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Few important questions

Introduction to statistics

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Some terminologies

Statistical tools for analyzing and presenting the qualitative data

Sampling Methods

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Sampling Methods/Techniques

Types of Probability sampling

Difference between Strata and Clusters

Types of Non-Probability sampling

Few other types of sampling techniques

Types of event sampling

Sampling distribution of mean

Levels of Data Measurement

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Some key points to remember

Standard deviation

Inferential statistics

Test for hypothesis

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Types of t-test

Unpaired t-test

Chi-square test

Parametric and Non-parametric test

Phi-coefficient

Analysis of variance (ANOVA)

Statistical tests

Correlation and Regression

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Correlation coefficient

Method of finding correlation coefficient

Regression analysis

Types of regression analysis

Covariance analysis

Difference between correlation and Regression

Some consideration in interpreting correlation

Design of experiments

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Completely randomized design ( CRD):

Randomized Block design ( RBD or RCBD):

Latin square design or Least square difference (LSD)

Factorial experiment

Difference between CRD and RCBD

Measuring gains in RCBD

Important terminologies related to experimental designs

Principle of experimental design

Significance of replication and randomization in experiments

Types of environments

Normal distribution ( Gaussian distribution)

Characteristics of a Normal distribution

Difference between Normal distribution and standard normal distribution

P-value ( Probability value)

Degree of freedom and how does it affect the precision

Learn Agricultural Statistics with Rahul

Kurtosis

It is the measurement of more or less peaked relative to the normal distribution.
Useful in decision-making.
Kurtosis coefficient measures how different a given distribution is from a normal distribution.

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