In this experiment, you would have two groups of plants: one group that receives fertilizer and one that does not. The independent variable is the fertilizer application, as this is what we are manipulating. The dependent variable is the plant growth, as this is what we are measuring as the outcome of the experiment. Data to collect would include measurements of plant height, number of leaves, and overall plant appearance over a set period of time to determine the effect of fertilizer on plant growth.
answer: compare a plant not given fertilizer to a plant given fertilizer..
to elliminate soures of error
A response variable, also known as a dependent variable, is the outcome or measurement that researchers are interested in studying or predicting in an experiment or observational study. It is influenced by one or more independent variables (predictors or explanatory variables). For example, in a study examining the effect of fertilizer on plant growth, the height of the plants would be the response variable. Analyzing the response variable helps determine the relationship between it and the independent variables.
to elliminate soures of error
To set up a controlled experiment with 100 orchids, first, divide the orchids into three equal groups of 33 plants each: one for weak fertilizer, one for medium fertilizer, and one for high fertilizer concentration. Ensure that all other conditions, such as water, soil type, light, and temperature, are kept constant across all groups. Apply the designated fertilizer concentration to each group while maintaining a consistent watering schedule. Finally, monitor and record the growth and health of the orchids over a predetermined period to evaluate the effects of the different fertilizer concentrations.
The independent variable in this experiment is the different brands of fertilizer being tested. The dependent variable is the rate of plant growth, which will be measured and influenced by the independent variable.
An independent variable is the variable in the experiment that affects the other variable. For example, in an experiment that tests the affect of the amount of fertilizer on plant growth, the amount of fertilizer is the independent variable and the plant growth is the dependent variable. This is because the plant growth DEPENDS on the amount of fertilizer.
The independent variable is the factor that is manipulated or changed in an experiment to observe its effects on a dependent variable. It is considered the cause in a cause-and-effect relationship. In an experiment, researchers deliberately alter the independent variable to test its impact on the outcome. For example, in a study examining the effect of fertilizer on plant growth, the amount of fertilizer used would be the independent variable.
In an experiment, the independent variable is the variable that is manipulated, for example plant fertilizer. The dependent variable is what is observed and measured as a result of the independent variable, for example plant height. Controlled variables are factors that are kept constant for the entire experiment, such as temperature and moisture, so that the observed results are due only to the independent variable. So in an experiment measuring the effect of fertilizer on plant growth, the independent variable would be the fertilizer, the independent variable would be the height measured at specific intervals, and the controlled variable of temperature and moisture would be kept the same for both groups.
The object you are testing in a hypothesisThe Independant or manipulated variable is what 'I' or you are changing....if you are measuring the effect of fertilizer on plant height, the Independant variable is the presence/absence of fertilizer.
A real life example of a variable is If one were to measure the influence of different quantities of fertilizer on plant growth, the independent variable would be the amount of fertilizer used (the changing factor of the experiment).hahahehe Yahoo answeres.com
In an experiment examining the effects of fertilizer and soil on flower production, the independent variables would be the type or amount of fertilizer used and the type or quality of soil. These factors are manipulated to observe their impact on flower production, which would be the dependent variable. By altering these independent variables, researchers can assess how they influence the number or health of the flowers produced.
How much fertilizer will be used and what kind of fertilizer.
It's the level of how much you do in the experiment. Such as when you test a fertilizer, you would do a control test with no cups of fertilizer, and a couple more with 1 cup, 2 cups, 5, 10 50 or whatever you choose.
Why must controls (such as plants given water only) be used in the fertilizer experiment
The independent variable group in an experiment is the group that is manipulated or changed by the researcher to observe its effects on the dependent variable. It is the factor that is deliberately altered to assess its impact, allowing researchers to determine cause-and-effect relationships. For example, in a study testing the effect of different fertilizers on plant growth, the type of fertilizer used would be the independent variable.
Increasing the amount of fertilizer can lead to increased plant growth due to the availability of nutrients. The independent variable in this scenario would be the amount of fertilizer applied to the plant.