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In Phase II (qualitative), interview protocols were developed based on the outcome sequence of items in Phase I. Nine teachers were interviewed and have their teaching sessions video-recorded.
An outcome sequence ek describes the results of these experiments.
For the same phenomenon exists with almost any unrepresentative outcome sequence.
The second coin's outcome sequence has a heads frequency of zero.
So any such outcome sequence will not be random, even though it quite easily could come about by chance.
So unpredictability of the generating process is a necessary condition on KML-randomness of any concrete outcome sequence.
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Specifically, 126 undergraduate students at a small midwestern university were asked to read, one at a time, 4 scenarios (two with positive and two with negative outcomes) and generate as many alternative-action outcome sequences (i.e., counterfactuals) as they could in 5 min.
Each of these ways of typing the outcome give rise to different outcome sequences, some of which may be random, while others are not.
The theory of randomness for the outcome sequences of such a simple process can be extended to more complicated sets of outcomes.
Let's use the expression 'En' to represent the set of all possible outcome sequences that may result from the sequence of conditions cn.
These events are all part of outcome sequences that are necessarily short, and hence these events are part of Kolmogorov random sequences.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com