The phrase "achieved a statistically" is not complete on its own but is correct and usable in written English when part of a larger context.
You can use it when discussing results or findings that have been validated through statistical analysis.
Example: "The study achieved a statistically significant result, indicating a strong correlation between the variables."
Alternatives: "obtained a statistically" or "reached a statistically".
Training sessions were repeated until the subjects had achieved a statistically significant correct choice frequency of ≥71% (binomial test: P < 0.05, N = 21 trials) in two consecutive sessions.
The worry intervention achieved a statistically significant reduction in worry which was maintained at two month follow up.
We split the whole sample into three groups: those that achieved a statistically significant positive reaction, those for which the reaction was significantly negative, and those for which there was no significant reaction.
The 50%50%% mixture achieved a statistically higher yield (dry weight and average leaf area) compared to all other treatments, whilst compost alone led to the lowest shoot growth.
The proposed hybrid algorithm achieved a statistically significant gain in performance compared to the baselines.
Similarly, the rate of long-term disability (8 vs 20.9%) achieved a statistically significant difference between groups.
We present an empirical evaluation which shows that our approach achieves a statistically significant improvement over alternative review ranking schemes.
It shows that in return for almost £1bn given to 46 national sports governing bodies since 2009, just five – athletics, boxing, cycling, mountaineering and table tennis – have managed to achieve a statistically significant increase in the number of people playing every month since the bid was won.
In this paper, a disturbance estimation approach is exploited within an OMBRE framework (DEOMBRE) in order to achieve a statistically satisfactory estimation of the model parameters, thus avoiding (or reducing) constraint violations even in the presence of systematic modelling errors.
The biologically-motivated, hybridized variant of ABC achieves a statistically superior performance on majority of the tested benchmark instances, as compared to some of the most prominent state-of-the-art algorithms, as is demonstrated through a detailed experimental evaluation and verified statistically.
In this paper, a novel experiment design approach (DE-OMBRE) is presented, where a model updating policy including disturbance estimation (DE) is embedded within an OMBRE strategy in order to achieve a statistically satisfactory estimation of the model parameters as well as to estimate the possible discrepancy between the real system and the model being identified.
