Sentence examples for a statistically significant difference in response from inspiring English sources

The phrase "a statistically significant difference in response" is correct and usable in written English.
It can be used in contexts involving research, statistics, or data analysis to indicate that the observed difference in responses is unlikely to have occurred by chance.
Example: "The study revealed a statistically significant difference in response between the control group and the experimental group."
Alternatives: "a meaningful difference in response" or "a notable difference in response."

Exact(4)

The other responses did not have a statistically significant difference in response between the two groups.

This third question is the only one of this grouping with a statistically significant difference in response between the student groups (one-tailed N-1 two proportion test, p = 0.004 with the minority students more likely to agree).

A statistically significant difference in response rate is not required in this trial design.

A post ad hoc analysis showed a statistically significant difference in response among platinum-sensitive, -resistant, and -refractory populations (61%, 42%, and 15%, respectively), though no differences were noted in the duration of response or time to progression between the three platinum response groups [36].

Similar(56)

There was no statistically significant difference in response to treatment between the two groups (P = 0.185).

There was also a statistically significant difference in domain scores among the different responses to the anchors.

There were no statistically significant differences in response by political party affiliation.

No statistically significant differences in response (P = 0.582) or survival (P = 0.290) data were seen.

There were no statistically significant differences in responses between the two groups.

There were no statistically significant differences in responses to any question between the two groups.

Finally, Mann-Whitney U tests were conducted to test for statistically significant differences in responses between men and women.

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