Sentence examples for sex variable from inspiring English sources

The phrase "sex variable" can be used in written English when discussing factors that may differ between males and females in a given situation or experiment.
For example, one could write, "The study found that the sex variable had a significant impact on the subjects' response to the treatment." In this sentence, the "sex variable" refers to the gender of the subjects and how it may have influenced the outcome of the study.

Exact(27)

The results show that all parameters have a correct sign and a value statistically different from zero, at a good level of significance, except the "sex" variable in the SP model.

Among the coping strategies, only Religious Practices/Fanciful Thinking showed a significant difference in the sex variable, indicating that women (M = 4.08; DP = 0.61) use this strategy more than men (M = 3.73; DP = 0.86) [t (379) = −4.40; p < 0.001].

Contradictory results were obtained with respect to the sex variable: a female superiority effect on paired position learning was significant in Experiment 1, but this effect was not replicated in Experiment 2. In addition, an articulatory suppression task used in Experiment 2 had a significant effect on recall of different object positions but no effect on recall of identical object positions.

However, the sex variable was not significant.

We expect that the sex variable (Male) should have a negative coefficient.

It also does not (despite calling its sex variable "gender") collect any information on gender identity.

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Similar(33)

These results were not modified by age and sex variables.

The combined-sex behaviors measures are labeled "All sex variables" in Table  4.

Results of the meta-analysis are presented in Tables 33 (drug variables) and 4 (sex variables).

1 Variables entered: age and sex. 2 Variables forced in: age and sex, variables entered stepwise: all independent variables from Table 2-3.

Chi-square tests were used to test independence of HIV-positive status awareness and demographic, drug and sex variables.

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