The phrase "a sequence of trials" is correct and usable in written English.
It can be used in contexts related to experiments, testing, or processes that involve multiple attempts or iterations.
Example: "In the study, we conducted a sequence of trials to determine the effectiveness of the new drug."
Alternatives: "a series of tests" or "a chain of experiments."
Limiting relative frequencies, we have seen, must be relativized to a sequence of trials.
Your goal is to use all your puzzle-solving abilities to tackle a sequence of trials created by someone known only as "The Craftsman".
We called a move a modification to the current better solution during a sequence of trials.
To quantify performance on the linear track, we parsed the running behavior into a sequence of "trials".
For example, the serial reaction time task [11] presents observers with a sequence of trials, where each trial involves only one stimulus, eliminating any need to select the target from distractors.
Consider a sequence of trials that delivers the same instruction on 50 consecutive trials.
A previous study looking into managing patients using an approach of a sequence of trial-and-error treatments based on a presumptive hierarchy of possible diagnoses has shown that this is a feasible option [ 14].
We investigate two effects of recent theoretical interest – item-context facilitation (occurring when items studied together are tested together) and test-position interference (with performance decreasing over a sequence of test trials) – and one effect of long-standing interest – decreasing performance as study-test lag increases.
This produced a sequence of 41 trials for the first run, and 40 plus one trial for the second run, with the extra trial in the second run being equivalent to the last trial in the first run, placed at the beginning to maintain counterbalancing across all conditions.
The bounds characterize the behavior of the algorithms over any sequence of trials, where each trial consists of an example and a desired outcome interval (any value in the interval is an acceptable outcome).
A binomial distribution with parameters n and p is used to model the number of non-conforming items in a sequence of n trials for an attribute quality characteristic, in which p denotes the process fraction non-conforming.
