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Variables are intended for bulk data, while attributes are intended for ancillary data. Another difference is that variables may be multidimensional, while attributes are all scalars or vectors.
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What is Distinguish between intensity and loudness?
the Decibel it measures the loudness and intensity
What is the ability to distinguish between two nearby objects?
Resolving power.
What is Distinguish between Celsius and Fahrenheit?
It is a question requiring you to list the differences between the two temperature scales.
What are two examples to distinguish between organized energy and disorganized energy?
;p;
Why is it important to distinguish between constructive and destructive waves?
dont know bitc
Distinguish between endogenous and exogenous variable?
Endogenous variable is a variable which used in economics for inner side parameters and accelerator coefficient of movement. andExogeneous is outside parameters as taxation,tariff,govt revenues e.t.c
What is the difference between a controlled parameter and a variable parameter?
controlled parameters the factor that stays the same in ALL groups variable parameters the factor(s) that change between control groups and variable groups
What is an invalid result?
An invalid result is an answer that does not fall between a given set of parameters. The parameters can be either constant or variable.
What is the difference between value type parameters and reference type parameters?
When a variable is passed by value, the function receives a copy of the variable. When a variable is passed by reference, the function receives a reference, or pointer, to the original data.
What is the difference between an attribute and a behavior in c plus plus?
An attribute is a class member variable while a behaviour is a class member method.
Distinguish between an independent variable and a dependent variable?
The independent variable is the value being manipulated or changed, while the dependent variable is the observed result of the independent variable being manipulated. "IF" you change the independent variable, "THEN" what happens to the dependent variable?
Distinguish between a variable and a contol?
a variable is the thing that we change during the experiment while control is the thing that we remain it to be constant through the whole experiment.
Researchers use experiments rather than other research methods in order to distinguish between?
Researchers use experiments to distinguish between cause and effect relationships. This involves manipulating one variable (independent variable) and observing the effect on another variable (dependent variable) in a controlled setting. Experiments allow researchers to make direct inferences about the relationship between variables, which is difficult to achieve with other research methods.
What The goal of a scientist is to design an experiment that will be able to distinguish the difference between?
The scientist wants to design an experiment that will demonstrate the effect of the independent variable on the dependent variable. This idea is to show causality between the two.
What is The goal of a scientist is to design an experiment that will be able to distinguish the difference between?
The scientist wants to design an experiment that will demonstrate the effect of the independent variable on the dependent variable. This idea is to show causality between the two.
What goal of a scientist is to design an experiment that will be able to distinguish the difference between what?
The scientist wants to design an experiment that will demonstrate the effect of the independent variable on the dependent variable. This idea is to show causality between the two.
What is the Difference between attribute and variable sampling?
The main difference in taking the samples is that for a variable sample, measurements of a characteristic of interest are taken, and for an attribute sample, one counts the number of units having or not having specific properties (mostly good/bad or number of flaws). Generally, attribute samples are much larger than variable samples and to be useful, need to be very large, when the proportion of bad units (or flaws) is very small.
