Are these people a worker in a farm? Which is the Independent and Dependent variable and Control group.

What people? What farm? What is the hypothesis?

Maybe this information might help.

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.

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To determine whether these people are workers on a farm, we would need more specific information about the context or situation.

If we assume that we have a group of people and we want to investigate whether or not they work on a farm, we can design a study to collect data. In this case, the independent variable would be the variable that is manipulated or controlled by the researcher. It is the variable that we think might have an effect on the dependent variable. In this scenario, the independent variable could be the job title or occupation of the individuals, specifically whether they are classified as farm workers or not.

The dependent variable is the variable that we are interested in measuring or observing to see if it is affected by the independent variable. In this case, the dependent variable would be whether or not the individuals work on a farm.

To establish a control group, we would take a representative sample of the study population and randomly assign individuals to groups. The control group would consist of individuals who do not work on a farm, while the experimental group would be made up of individuals who do work on a farm. By comparing the two groups, we can determine if there is a significant difference in the proportion of farm workers.

Remember, the information provided is based on an assumption about the scenario. To accurately determine the independent variable, dependent variable, and control group, it is crucial to have specific details about the research study or situation.