changes result!
it is basically asking what the definition of responding variable is and the book says, The variable that changes because of the manipulated variable is the responding variable.
The independent variable in an controlled experiment is what you are changing
The independent variable in an controlled experiment is what you are changing (for example, amount of water or sunlight a plant gets). The dependent variable changes because of the independent variable. Its the outcome of the independent variable.
In Spallanzani's experiment, the controlled variable was the type of container used to hold the broth. By using different containers with varying levels of accessibility to air, Spallanzani was able to determine the role of air in the generation of life.
Independent variable
In an experiment or mathematical function, the independent variable is the one that is manipulated or changed to observe its effect on another variable, known as the dependent variable. If "x" is the variable being changed or controlled, then yes, "x" is the independent variable. However, if "x" depends on or is influenced by another variable, then it is not the independent variable. Always consider the specific context to determine the role of "x."
An input variable, often referred to as an independent variable, is a factor or element that is manipulated or controlled in an experiment or model to observe its effect on an output variable or dependent variable. In the context of statistical analysis or machine learning, input variables are the features or predictors used to make predictions or draw conclusions. These variables can be quantitative or categorical and play a crucial role in determining the relationships and patterns within the data.
it acts as a source. a dependent variable that isn't altered by any independent variables.
Temperature can be both an independent variable, where it is manipulated to observe its effect on other variables, or a dependent variable, where it is measured as an outcome of other factors. The role of temperature as a dependent variable or independent variable depends on the specific research context.
In an experimental design, the treatment is typically considered the independent variable that is manipulated by the researcher to observe its effect on the dependent variable. The treatment can vary among different groups or conditions within the experiment, allowing researchers to assess causal relationships. Therefore, while the treatment itself is not a variable in the general sense, it is a specific type of variable that plays a crucial role in the experimental setup.
A control group in an experiment serves as a baseline for comparison against the experimental group. It is not exposed to the treatment or variable being tested, allowing researchers to isolate the effects of the independent variable. By comparing outcomes between the control and experimental groups, scientists can more accurately determine whether the observed effects are due to the treatment or other factors. This helps ensure the validity and reliability of the experiment's results.
to present the starch.