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They are experiments which are designed in such a way as to provided maximum information about the effects on the dependent variable of explanatory (independent) variables, separately as well as their interactions, with the smallest number of experimental subjects. Latin squares and Graeco-Latin squares are some of the better known examples.

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Q: What is designed experiment in statistics?
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What question was spallazanis experiment designed to answer?

Spallanzani's experiment was designed to disprove the spontaneous generation of microbes in the air.


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Counting statistics experiments are useful in math. This is what helps with numbers.


What is a factor in statistics?

A factor in statistics can be defined as a variable which will affect the results of an experiment. This is mainly an aspect which is independent.


Does an observational study or a designed experiment allow the researcher to claim causation between and explanatory variable and a response variable?

designed experiment


The aim of an experiment should be in the form of a what?

An experiment should be designed to answer a specific question.


Why in the experiment the two known resistance are kept equal?

It depends on what the experiment is designed to do!


How the role of statistics is used in research?

Statistics is used to design the experiment (what type of data needs to be obtained and how much), then statistics is used to analyze the data (make inferences and draw conclusions).


How many variables does a properly designed experiment have?

One


Researchers performing a well-designed experiment should base their conclusions on?

data from repeated trials of the experiment


Which best explains why replicating an experiment should be done by someone other than the person who original did the experiment?

It shows that the experiment is designed properly.


What is the useful of counting statistics experiment in nuclear lab?

Counting statistics experiments in nuclear lab helps with science. This helps learn of numbers and measurements.


If a related measures experiment and matched subject experiment both produce t statistics with degrees of freedom of 20 which experiment used more subjects?

The matched subject because the experiment involves pairs which halves the df.