Design an experiment that could be carried out to compare the rates of corrosion of iron.
What are the independent and dependent variiables?
Here is some information on dependednt and independent variables.
When you compare something it must be compared with something else. You don't say waht that is. compare rates corrosion Fe with what?
It looks as if DrBob222 forgot to post the information. Here is an explanation plus some additional material on the experimental method.
An independent variable is the potential stimulus or cause, usually directly manipulated by the experimenter, so it could also be called a manipulative variable.
A dependent variable is the response or measure of results.
Extraneous variables — other than the independent variable — potentially can affect the dependent variable, so they must be controlled. If possible, you try to keep them constant between the experimental and control group.
The experimental group receives the independent variable.
The control group is similar to experimental, except it does not receive the independent variable. Extraneous variables are balanced between experimental and control groups.
Types of experiments
1. Single blind gives the control group a placebo — a substance that is inert, it has no physical effect. Subjects don't know if they are in experimental or control group to reduce placebo effect, a change in behavior solely due to believing that you are getting the independent variable.
2. Double blind keeps both subjects and experimenter ignorant of group setup. Distribution of the independent variable and placebo are controlled by third party. This controls for experimenter bias and self-fulfilling prophecy, which means that experimenters with particular expectations are likely to consciously or unconsciously to bias the experiment and influence it to conform to their expectations.
As an example, suppose you want to find out if fluorides reduce dental cavities. You would find two groups, trying to control the extraneous variables. Extraneous variables are found by surveying previous research in the area. In this case, you would match the groups in terms of previous history of cavities, diet and dental hygiene habits including how and how often they brush their teeth.
The experimental group would get toothpaste with the independent variable, the fluoride, while the control group would not have the fluoride in their toothpaste. The toothpaste without the fluoride would be the placebo.
The dependent variable would be the number of cavities after participating in the experiment for a time. The dependent variable indicates the results, but it is not the results. At the end of the experiment, both groups could have no change in cavities or one of the groups could have a greater reduction in cavities. (Of course, if the fluoride increased cavities, you wouldn't want to use it.) All of these varied results would be indicated in terms of the dependent variable.
If only the subjects do not know who is getting the fluoride, it is a single blind experiment. If both the subjects and experimenter do not know, it is a double blind.
I hope this helps a little more. Thanks for asking.
To design an experiment to compare the rates of corrosion of iron, you would need to set up different test conditions and measure the rate of corrosion under each condition. Here's a step-by-step guide for conducting such an experiment:
1. Prepare several iron samples: Start by obtaining identical iron samples of the same size and shape. Ensure that they are clean and free from any corrosion or rust.
2. Set up different test conditions: Create different environments or conditions in which you will expose the iron samples. For example, you could test the corrosion rates in fresh water, saltwater, acidic solutions, or different atmospheric conditions (like high humidity or exposure to air pollutants).
3. Independent variable: The independent variable is the factor that you manipulate or change in the experiment. In this case, the independent variable would be the different test conditions you created (e.g., fresh water, saltwater, acidic solutions, atmospheric conditions). Each condition would represent a different treatment group.
4. Expose the iron samples to the test conditions: Place each iron sample in the corresponding test condition. Ensure that all samples are exposed to the same conditions for an equal duration of time. You might want to consider setting up multiple replicates for each condition to ensure reliable results.
5. Measure the corrosion rate: After a specific time period (e.g., days, weeks, months), remove the iron samples from each test condition. Assess the extent of corrosion on each sample using various methods, such as visual inspection, weight loss measurements, or corrosion tracking techniques.
6. Dependent variable: The dependent variable is the factor that is being measured or observed in response to the independent variable. In this experiment, the dependent variable is the corrosion rate of the iron samples. You can quantify this rate by comparing the degree of corrosion or the weight loss for each sample.
7. Analyze the results: Compile the data obtained from each test condition and calculate the corrosion rate for each sample. You can then compare the rates between the different conditions to draw conclusions about the impact of each variable on the corrosion of iron.
By following these steps and identifying the independent variable (different test conditions) and the dependent variable (corrosion rate), you can conduct an experiment to compare the rates of corrosion of iron.