an experiment where only one variable is changed and all others are kept constant down
i don't get it
Did you read the title of the article that Bobpursley posted?
yes and i clicked on it i do not see it
From the above website:
"Biology-Mr.Willets
"Single Variable Experiment
"A single variable experiment is one in which the experimenter (you) changes only one factor (the single variable) in order to see its effect on the experimental subjects. To do this, there must be two groups of subjects. These two groups must be as similar as possible. It is easier to get two groups to be similar if large numbers of subjects are used (the more, the better, within limits of space etc.) Large groups are also helpful because if there is one unusual member of the group, it will not affect the average all that much."
what are devices that increase the five senses' abilities to obtain information
eye glasses
hearing aids
magnifying glasses
telescopes
microscopes
no i think it starts with an i
instruments?
The type of experiment you're referring to is called a controlled experiment. In a controlled experiment, you manipulate one variable while keeping all other variables constant or unchanged to isolate the effect of the variable you're interested in studying.
Here's a step-by-step guide on conducting a controlled experiment:
1. Identify the problem or research question: Clearly define what you want to investigate and what you hope to learn from the experiment.
2. Determine the variables: Identify the independent variable, which is the variable you intend to manipulate or change. Also, identify the dependent variable, which is the variable that responds to the changes in the independent variable. Additionally, identify any other variables that could potentially influence your results; these are called control variables.
3. Design the experimental setup: Determine how you will control the variables and set up the experiment accordingly. This may involve using equipment, creating samples, or setting specific conditions.
4. Establish a control group: Create a control group that serves as a baseline or comparison for the experiment. The control group should not be exposed to the manipulated variable and should represent normal or standard conditions.
5. Define and implement the treatment group: Create one or more treatment groups where the independent variable is changed or manipulated. Ensure that the only difference between the treatment group(s) and the control group is the presence of the manipulated variable.
6. Collect data: Decide on the specific method or tools you will use to collect data. It could involve measurements, observations, surveys, or any other suitable techniques.
7. Perform the experiment: Execute the experiment by applying the predetermined conditions to the control and treatment groups. Record the dependent variable's response for each group.
8. Analyze and interpret the results: Once the experiment is complete, analyze the data you collected. Compare the responses of the control and treatment groups to evaluate the effect of the manipulated variable.
9. Draw conclusions: Based on your analysis, draw conclusions about how the independent variable influenced the dependent variable's outcome. Consider any limitations or sources of error that may have impacted the results.
10. Repeat and validate: To ensure the reliability of your findings, it's essential to repeat the experiment multiple times to validate the results. This helps ensure that your conclusions are accurately representative of the relationship between the variables.
By controlling all variables except for the one you wish to investigate, you can isolate the effect of that particular variable and gain a better understanding of its impact. This method allows researchers to establish cause-and-effect relationships and make meaningful conclusions based on their experiments.