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One scale-dependent phenomena that can be studied at a microscopic scale is the behavior of individual molecules in a chemical reaction. By focusing on molecular interactions, researchers can gain insights into reaction mechanisms and the factors that influence reaction rates and product formation.

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1y ago

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Why do you think that astronomy is considered to be an Earth science?

Astronomy is one of the space sciences, but it is often combined academically, into the category of Earth and Space sciences, both of which are involved in large scale observations about the universe in which we live. Astronomers study planets in general (among other celestial objects), and the Earth is a planet.


What are independent variables?

Independent variables are factors in a study that are manipulated or controlled by the researcher in order to observe their effect on the dependent variable. They are variables that are believed to influence the outcome of an experiment or study.


What are the three types of earthquake scales?

If referring to Map Scale types 1. Ratio Scale (1:24,000) 2. Written Scale (One inch represents one mile) 3. Graphic Scale (Scale Bar)


Which is the odd one out and why tropical cyclone tornado hurricane typhoon?

The odd one out is a tornado. Hurricanes and typhoons are both strong tropical cyclones and their own weather systems. A tornado is neither tropical nor a cyclone, but is instead a small-scale weather event that is dependent on a larger parent storm.


Microbiology is the study of what?

"Micro" means small, in terms of size or scale. "Biology" simply means living things. Therefore, study of microbiology would indicate studying small living things. Usually, uni cell membrane is one example. Just thing that study of microbiology studies living things that can only be observed by microscope.

Related Questions

Does a bi variate study have two dependent variables?

It does not have to. It is simply a study where two variables have a joint probability density function. There is no requirement for both variables to be dependent - one may be dependent on the other (which is independent).


What is a Latitudinal Research or Study?

Quick answer: A research study that focuses on phenomena from roughly the same time period (e.g. a latitudinal study of Arabic morphology, for instance, would examine different Arabic dialects all contemporary to one another). This approach is different from a longitudinal study, which would examine the way a phenomenon (or phenomena) develops over time (also called a "diachronic" study) (e.g. a longitudinal study of Arabic morphology would examine a dialect from one point in time and compare it with dialects from an earlier period).


What is the definition for a dependent variable?

A dependent variable is a variable in an experiment or study that is measured or observed to see how it is affected by changes in the independent variable. It is the outcome or response that is being studied or predicted.


Having 2 people on one insurance policy does this raise the rates?

Yes it does. Its on a sliding scale dependent on age, experience and history of the riders.


The study of the distribution of objects across Earth's surface and the processes by which human and environmental phenomena move from one place to another is?

I believe it's spatial analysis


What is a correlation study?

It is a study where two variables, each on a continuous scale, are measured against each other without accounting for which variable is acting as the independent or dependent variable. It just measures whether an increase or decrease in one variable has a significant effect on the other. (Example: Measuring extraversion to levels of happiness. If a person is more extroverted, studies have shown that they are also more happy and vice versa.)


How many dependent variables should you have?

The number of dependent variables you should have depends on the research question and the complexity of the study. In general, it's advisable to focus on one or two primary dependent variables to maintain clarity and coherence in your analysis. Having too many dependent variables can complicate interpretation and may lead to issues with statistical power. However, if your study is designed to explore multiple outcomes, ensure that each variable is theoretically justified and relevant to your hypothesis.


Does the dependent variable change because of the independent variable?

Yes, the dependent variable is the one that is being measured or tested in an experiment, and its values are expected to change in response to manipulations of the independent variable. The relationship between the independent and dependent variables is the main focus of a scientific study.


What is the differences between independent and dependent variables?

One is dependent and one is independent


How many dependent variables are in an experiment?

The number of dependent variables in an experiment can vary depending on the research design and objectives. Typically, an experiment may focus on one primary dependent variable to measure the effect of an independent variable. However, researchers can include multiple dependent variables if they aim to assess various outcomes or effects. Ultimately, the specific number will depend on the goals of the study.


What variable can not stand alone?

A dependent variable cannot stand alone, as it relies on the influence of one or more independent variables. In an experiment or study, the dependent variable is the outcome that researchers measure to see how it changes in response to manipulations of the independent variable. Without the context of an independent variable, the dependent variable lacks meaning or relevance.


What conclusion can be drawn only from an experimental study?

An experimental study allows researchers to establish causal relationships between variables by manipulating one or more independent variables and observing the effect on a dependent variable. This control over variables enables conclusions about cause and effect that cannot be drawn from observational studies, where confounding factors may influence the results. Therefore, only from an experimental study can one confidently conclude that changes in the independent variable directly cause changes in the dependent variable.