homogeneity Synonyms
Strongest:
- sophistication
- complication
- elaborateness
- complexity
- complication
- intricacy
- intricacy
- elaborateness
- sophistication
- complexity
Strong:
- complicatedness
- complexness
- intricateness
- complicacy
- complexness
- complicatedness
- complicacy
- intricateness
Weak:
No Weak antonyms found.
homogeneity Meaning
homogeneity (n)
the quality of being similar or comparable in kind or nature
the quality of being of uniform throughout in composition or structure
homogeneity (n.)
Same as Homogeneousness.
homogeneity Sentence Examples
- The homogeneity of the sample ensures that all observations have similar characteristics.
- The scientist strives for homogeneity in the experimental conditions to minimize confounding variables.
- The data exhibits a surprising lack of homogeneity, suggesting different underlying processes.
- Homogeneity analysis can help identify subgroups within a dataset based on shared traits.
- Researchers aim to achieve homogeneity in treatment groups to ensure fair comparisons.
- The system's homogeneity makes it susceptible to external disturbances that could disrupt its stability.
- The social group's homogeneity fostered a strong sense of community and belonging.
- Homogeneity testing provides insights into the uniformity of populations or distributions.
- The material's homogeneity guarantees consistent properties throughout its volume.
- The lack of homogeneity in the sample may have introduced bias into the results.
FAQs About the word homogeneity
the quality of being similar or comparable in kind or nature, the quality of being of uniform throughout in composition or structureSame as Homogeneousness.
uniformity, unity,homogeneousness, unsophistication,plainness, simplicity
sophistication, complication, elaborateness, complexity, complication, intricacy, intricacy, elaborateness, sophistication,complexity
The homogeneity of the sample ensures that all observations have similar characteristics.
The scientist strives for homogeneity in the experimental conditions to minimize confounding variables.
The data exhibits a surprising lack of homogeneity, suggesting different underlying processes.
Homogeneity analysis can help identify subgroups within a dataset based on shared traits.