Biostatistics Study Materials

Types of Experimental Designs in Statistics (RBD, CRD, LSD, Factorial Designs)


Experimental design examples

Types of Experimental Designs in Statistics
Completely Randomized Design (CRD), Randomized Block Design (RBD), Latin Square Design (LSD) – Advantages and Disadvantages

In the previous post, we have discussed the Principles of Experimental Designs. There we discussed the concept of Experimental design in statistics and their applications. In the present post, we will discuss different types of statistical experimental designs, its applications, advantages and limitations.

Learn more: Principles of Experimental Designs

Different types of Experimental Designs

Ø  Experimental designs are broadly classified into TWO categories:

(A).   Single-Factor Experiments

(B).  Multi-factor Experiments

(A). Single-Factor Experiments:

Ø  Single factor experiments are those experiments in which only a single factor varies while all others are kept constant.

Ø  Here the treatments consist exclusively of the different levels of the single variable factor.

Ø  All other factors are applied uniformly to all plots.

Ø  Examples of Single-Factor Experimental Designs:

(1). Completely Randomized Design (CRD)

(2). Randomized Block Design (RBD)

(3). Latin-Square Design (LSD)

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Biostatistics Study Materials

Principles of Experimental Designs in Statistics – Replication, Randomization & Local Control


Experimental Research Design

Experimental Designs in Statistics
(The Principles of Experimental Designs in Research Methodology)

What is a statistical experiment?

Ø  An experiment is a plan for the collection and analysis of data.

Ø  “It is a controlled act through which data are collected according to some pre-determined objective”.

Ø The observations obtained from a carefully planned and well-designed experiment in advance only gives valid inferences.

Ø An experimental design which gives the smallest error is supposed to be the best design for a particular type of investigation.

Experimental unit (Experimental Plot):

Ø  The smallest division of the experimental material to which we apply the treatment and can make the observation on it is called experimental unit or experimental plot

Treatments:

Ø  Treatments are the characteristics which are to be investigated through an experiment.

Ø  The treatments are the objects of comparisons in an experiment.

Ø  Example: effects of different fertilizers, the yield of different varieties of a crop, disease resistance of different cultivars etc.

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Biostatistics Study Materials

Hypothesis Testing PPT (Tips and Procedure of Statistical Significance Test)


Biometric PPT

Statistical Hypothesis Testing PPT
(The Test of Hypothesis / Significance – Tips and Procedure)

What is Hypothesis Testing? What is Test Statistic? Statistical Hypothesis, p-Value, What is ‘Test of Hypothesis’, What is the purpose of Hypothesis Testing? What is Hypothesis? Types of Hypothesis, Research Hypothesis, Statistical Hypothesis, Null Hypothesis, Alternative Hypothesis, How to state the statistical hypothesis? Things to remember when constructing the Null Hypothesis, Test Statistic, Decision Rule, Significance Level, Statistical Decision, p-Value

Learn more: Lecture Note on Hypothesis Testing

You can DOWNLOAD the PPT by clicking on the download link below the preview…

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Biostatistics Study Materials

Hypothesis Testing in Statistics – Short Lecture Notes + PPT

What is hypothesis Testing

Statistical Hypothesis Testing
(Statistical Significance Testing – Simple Easy Lecture Notes)

“Truth can be stated in a thousand different ways, yet each one can be true…”
 Swami Vivekananda

What is ‘Test of Hypothesis’?

Ø  Test of Hypothesis (Hypothesis Testing) is a process of testing of the significance regarding the parameters of the population on the basis of sample drawn from it.

Ø  Test of hypothesis is also called as ‘Test of Significance’.

Ø  J. Neyman and E.S. Pearson initiated the practice of testing of hypothesis in statistics.

What is the purpose of Hypothesis Testing?

Ø  The main purpose of hypothesis testing is to help the researcher in reaching a conclusion regarding the population by examining a sample taken from that population.

Ø  The hypothesis testing does not provide proof for the hypothesis.

Ø  The test only indicates whether the hypothesis is supported or not supported by the available data.

What is Hypothesis?

Ø  Hypothesis is a statement about one or more populations.

Ø  It is a statement about the parameters of the population about which the statement is made.

Ø  Example:

$  A doctor hypothesized: “The drug ‘X’ is ineffective in 99% of cases of which it is used”.

$  “The average pass percentage of central university degree programme is 98”.

Ø  Through the hypothesis testing the researcher or investigator can determine whether or not such statements are compatible with the available data.

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Biology Exam Question Papers

Kerala SET Zoology July 2017 Original Solved Question Paper (Download PDF)


Zoology SET 2017 Paper

Kerala SET Exam – July, 2017

Zoology Paper II with Answer Key

Official / Original Previous Year (Old) Solved Question Paper of Kerala State Eligibility Test (K-SET) Examination July, 2017 in Zoology (Life Science) with Answer Key and Explanations as a single Downloadable PDF file. SET Zoology aspirants can freely download the question paper for your exam preparation. Please feel free to inform the admin Admin if you find any mistakes in the answer key. 

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