Positive Control vs Negative Control | Experimental Group

Are you conducting an experiment and wondering what types of control groups to use? In this video, we'll discuss the differences between positive and negative controls, and how they can help you interpret your results.

First, we'll introduce the concept of experimental group types, including the experimental group, control group, positive control, and negative control. Then, we'll dive into examples of positive and negative controls and how they differ.

Positive controls are groups that receive treatment with a known response, usually a desirable or expected response. For example, if you're testing a new antibiotic, you might use a positive control that receives a standard antibiotic with a well-established efficacy. By comparing the results of your experimental group to the positive control, you can determine if your treatment is working as intended.

Negative controls, on the other hand, are groups that do not receive the treatment and are used to establish a baseline for what should happen in the absence of the treatment. For example, if you're testing a new vaccine, you might use a negative control that receives a placebo injection. By comparing the results of your experimental group to the negative control, you can determine if any observed effects are due to the treatment or simply random chance.

Chapters
00:00 Intro
00:21 What is control
01:18 Positive control
02:05 Negative control
02:53 Example

Understanding the differences between positive and negative controls is crucial for designing experiments that produce reliable results. So whether you're a student or a seasoned researcher, this video will give you the knowledge you need to use control groups effectively in your experiments.
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