Examples of using Two or more variables in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Computer
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Ecclesiastic
Two or more variables.
There can be two or more variables.
Cross tabulation A table of the frequency distribution of two or more variables.
Between two or more variables.
We can ask…'What is the relationship between two or more variables?'?
When there are two or more variables, then each one has a name.
This research isconducted irrespective of the type of relation that exists between two or more variables.
Cross-tabulation results in tables that reflect the joint distribution of two or more variables with a limited number of categories or distinct values.
Students should begin to state some explanations in terms of the relationship between two or more variables.
A multi-variable optimization can do the math for two or more variables to determine what combinations would have achieved the best outcome.
Correlational research: In general, correlational research examines the covariation of two or more variables.
A proposition is a theoretical statement that specifies the connection between two or more variables, informing us how variation in one concept is accounted for by variation in another”.
According to Kerlinger(1973),“Ahypothesis is a conjectural statement of the relation between two or more variables.
An equation involving two or more variables.
IISA Assessment,Consultancy& Research Centre helps you determine whether a causal relationship exists between two or more variables.
Researchers use this quantitative research method to correlate two or more variables using mathematical analysis methods.
Classification approach to organizational culture According to this organizational culture converse to arange of ideas that can be imitate by two or more variables.
Hypothesis development is necessary as it shows a relationship between two or more variables expressed in the form of testable statement.
Some of these methods are used primarily for single-variable studies, while others, such as regression and correlation analysis,are used to make inferences about relationships among two or more variables.
A statistical measure referring to the relationship between two or more variables(events, occurrences etc.).
A strong, or high, correlation implies that two or more variables have an excellent relationship with each other, whereas a low correlation indicates that the variables are barely related.
A/B testing, sometimesknown as split testing, is the process of comparing two or more variables under the same conditions.
Interaction(statistics)- In statistics, an interaction is a term in astatistical model added when the effect of two or more variables is not simply additive.
Correlation techniques are used to explore the relationship and prove the relationship hypothetical two or more variables when the data forming the second variable interval or ratio,and source of data from two or more variables is the same.
Correlation research using instruments to determine whether, and to what extent,there is a relationship between two or more variables that can be quantified.
Hypothesis can be defined as a logically conjectured relationship between two or more variables in the form of tested statement(Sekaran, 2003).
In considering research findings, it is often important to examine not only the main effect of one variable on another,but also interaction effects, in which two or more variables in combination have different effects than when alone.
It has two or more independent variables.