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Experiment Design

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Last updated date: 25th Apr 2024
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Introduction of Experiment Design

The experiment design, also referred to as the design of experiment, is a division of the applied statistics which oversees conducting, planning, analysing as well as explaining the controlled tests for estimating factors that control the parameter value of the group of parameters. The experiment design is an analysis tool of influential collections that can be utilised in various experimental situations. 


The experiment design enables the entry of various factors for manipulation to identify their impact on desired response or output. Through the management of various input or entries at the same time, the experiment design determines necessary interactions that could be missed when you are experimenting with one factor at a time. You can examine only the portion of the possible combinations called fractional factorial or all possible combinations called the full factorial.


In Statistics, experiment design can be defined as the design of a research experiment where you determine if a variable exists or not. This research experiment must be analysed under complete regulation and authority of the researcher. Fundamentally the design experiment is used in controlled experiments. These experiments tend to diminish the impact of variables for enhancing the reliability of the outcomes. The experimental unit used in experiment design might involve plants, animals, or a group of people.


The Examples of Experiment Research Design

There are various examples of experimental research design. The example relies on experimental research design types that have been considered. One of the important examples of experimental research design is the lab experiments that might differ in their nature based on the topic of research.


Other examples of experimental research design are Evaluation of exams at the end of the semester, evaluation of the skills of employees in a company or an organization, and evaluation of the different teachers’ teaching methods by schools.


The Various Types of the Experiment Research Design

Some of the different variations of the experimental research design include Quasi-experimental research design, True-experimental research design, and Pre-experimental research design.


The Quasi-experimental design refers to the partial design and it is similar to true experimental design with few differences.  The quasi-experimental design is commonly used in education research where administrators have to permit random selection of the students for the purpose of experimental samples. Some of this experimental design includes time series, counterbalanced design, and no equivalent control group design.


The true-experimental research design is the ideal form for experimental research design since it is based on statistical hypotheses for proving or disproving the hypothesis. This method is mainly used in physical science. Some of the vital factors that need to be satisfied in this method include random variables, easily managed variables by researchers, control groups, and experimental groups.


The Pre-experimental design uses the simplest method for research design in statistics. This method involves single or multiple groups that are put under observation after some specific factors are identified as cause and effect. This method is primarily used for understanding if further investigations are needed for a targeted group.

FAQs on Experiment Design

1. What are the benefits of experimental research design?

There are numerous benefits of the experimental research design for the researchers. This includes researchers having a strong setback for getting desired output and the results tend to be expressive. The researchers can use the findings for similar circumstances or ideas after the analysis of the results. The industry or subject has no impact on the effectiveness of the experimental research. Any industry can utilize this method for research purposes. 

2. What are the drawbacks of the experimental research design?

The drawbacks of the experimental research design are as follows. This design is costly and the risk factor tends to be high. This might include the ethical implications that are hard to ignore.  This is particularly poignant in the field of medical research where the failed trials might cause a patient’s death or could lead to the worsening of health condition. The human responses might be difficult to measure in terms of experimental design.

3. What are the three fundamental principles of the experimental designs?

The three fundamental principles of the experimental designs include Randomization, Replications, and Blocking. Randomization is essentially the random request for experiments that ensure each factor level has an equal opportunity of being impacted by noise factors. Replication is the procedure of repeating experiments that operate in the random sequence for permitting a more accurate estimation of the experimental errors. Blocking is the procedure of arranging the same experiment runs in blocks or groups for allocating the impact of change in the blocking factors. 

4. Can I rely on Vedantu notes for studying or learning about experiment design concepts?

Yes, you can rely on the Vedantu notes related to the experiment design concept. Vedantu provides comprehensive and detailed explanations with samples to help the students or candidates understand the various topics associated with experiment design. These notes are created by highly knowledgeable and qualified people with high levels of proficiency in the subject. These notes also provide solutions to example questions that are important in helping the students brush up on the core concepts.

5. How can I access the Vedantu study material on experiment design concepts?

If you want access to the Vedantu notes on the experiment design concepts then you can download the notes in the form of a PDF file for free. Once you are on the relevant page on the website or app, you can locate the “Download PDF” that is provided there. When you click on that, the Vedantu notes and solutions to the experiment design concepts will be downloaded on your device in PDF format. 

6. What are the Advantages and Disadvantages of Experimental Research Designs?

Advantages of experimental research designs are as follows:

  1. Researchers have a strong set back to get desired results.

  2. The results are expressive.

  3. Researchers can apply their findings to similar ideas or circumstances after analyzing the results.

  4. The subject or industry does not affect the potency of experimental research. Any industry can use it for research purposes.

  5. The cause and effect of the hypothesis can be identified easily. Researchers can further examine the relationship to identify more detailed ideas.

Disadvantages of experimental research designs are as follows:

  1. It is costly . 

  2. The risk factor is high in experimental research design and may include ethical implications that cannot be ignored. This is ordinary in medical research, where failed trials may bring about a patient's death or a worsening health condition.

  3. Experimental research results are not expressive.

  4. Response bias can also be delivered by the topic of the conversation.

  5. Human responses are hard to measure in  experimental design.

7. What are the three Principles of Experimental designs?

The three principles of experimental designs are :

  1. Randomization

  2. Replication

  3. Blocking

Randomization - It is the random requesting of experiments to ensure each level of a factor has an equal opportunity of being affected by noise factors such as the  temperature of power fluctuation.


Replication - It is the process of repeating all or portions of experiments that operate in a random sequence to permit a more accurate estimation of experimental errors along with main and interaction effects.


Blocking- it is the process of arranging the same experiment runs into groups or blocks to allocate the effect of change in blocking factors such as batch, machine, time of day etc. across the experiment and avoid confusion whether the variation in output is due to change in factor level or blocks.