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Can a continuous variable be random?
A continuous random variable is a random variable where the data can take infinitely many values. For example, a random variable measuring the time taken for something to be done is continuous since there are an infinite number of possible times that can be taken.
What apply to continuous random variables?
A random variable X is continuous if possible values comprise either a single interval on the number line or a union of disjoint intervals. Example: If in the study of the ecology of a lake, X, the r.v. may be depth measurements at randomly chosen locations.
Can you have more than one replicate in an experiment?
You can choose to do the design one time or have multiple replicates. The design of an experiment includes a step to determine the number of replicates that you should run. Considerations for replicates: Screening designs to reduce a large set of factors usually don’t use multiple replicates.
Which is an example of replicates and repeats?
Example of replicates and repeats. A manufacturing company has a production line with a number of settings that can be modified by operators. Quality engineers design two experiments, one with repeats and one with replicates, to evaluate the effect of the settings on quality. The first experiment uses repeats.
How are replicates used to detect smaller effects?
If you have more data, you might be able to detect smaller effects or have greater power to detect an effect of fixed size. Your resources can dictate the number of replicates you can run.
Why are replicates important in a prediction model?
If you are trying to create a prediction model, multiple replicates can increase the precision of your model. If you have more data, you might be able to detect smaller effects or have greater power to detect an effect of fixed size. Your resources can dictate the number of replicates you can run.