2^k factorial experiment design

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SUMMARY

The discussion centers on the 2^k factorial experiment design, specifically with k=2, where two factors (a and b) are investigated at two levels each, resulting in four combinations. The term "replicates" refers to the three observations made for each combination, indicating that the experiment was performed three times to ensure reliability in the results. The user seeks clarification on the concept of replicates and how it extends to scenarios with k=3, where the number of combinations increases to eight.

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  • Understanding of factorial design in experiments
  • Familiarity with statistical concepts such as replicates
  • Knowledge of experimental factors and levels
  • Basic grasp of statistical analysis methods
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Statisticians, researchers in experimental design, and students studying statistics will benefit from this discussion, particularly those focusing on factorial experiments and data reliability through replicates.

physea
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Hello!

In this webpage:
https://onlinecourses.science.psu.edu/stat503/node/35

it describes the 2^k factorial experiment design. I understand that k is the number of factors that we are investigating (in this case two, a and b), 2 are the levels of each factor (+/-) and 2^k=4 is the number of the all possible combinations of these factors (null, a, b, ab).

However, I don't understand what he means with "You can see that we have 3 observations at each of 4 = 2k combinations for k = 2. So we have n = 3 replicates." What are these three observations for each combination and why they are called replicates?

What happens in k=3 etc situations with these replicates?

thanks!
 
Chemistry news on Phys.org
The replicates are simply the number of times the experiment was performed. For each of the ##2^k## combinations, the reaction was carried out 3 times and the yield measured each time.
 

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