Nothing. The result will be the same. The bias comes with how you interpret the results depending on why you want them to appear that way.
For example, if you were working for a sun tan lotion manufacturing company and developed a new formula in the lab. You could say 'under experimentation with formula X we recorded a significant drop in harmful UVA and UVB ray exposure on the subject' however, you would be bias and neglect to say that the formula removed all the subjects hair and turned them blue.
Bias. If a person lets there bias into a scientific experiment, the results will likely be skewed.
When you anticipate the results of your experiment before beginning, you risk introducing bias into your methodology and interpretation of data. This expectation can lead to confirmation bias, where you may unconsciously seek out or favor evidence that supports your hypothesis while disregarding contrary findings. Additionally, it can limit the exploration of unexpected outcomes, potentially stifling innovation and discovery. Ultimately, a preformed expectation can compromise the integrity and reliability of your experimental results.
People who perform experiments take some care to avoid introducing their personal bias into the results. But even if there is a bias, the same experiment may be done by other people who have other biases or who are more successful in working in an unbiased manner. Eventually, truth will emerge.
The results of a science experiment do not have to match the original hypothesis. Indeed, the results collected in an experiment may be completely different to those that the scientist predicted.
Experimentation in science is done following strict scientific protocols. A basic approach is to first form a hypothesis, which is simply a good guess of what will happen in the experiment. After the experiment you examines the data and compare them with the hypothesis. You then comment on how they may or may not match, and then you could publish the results. It is important that the method of how you conducted the experiment and what that was used is included in the report, so that others might try to duplicate your results. If other scientists do the same experiment and get the same results as you did, your report is then strengthened, and it will therefor gain a higher value of credulity.
Bias. If a person lets there bias into a scientific experiment, the results will likely be skewed.
People who perform experiments take some care to avoid introducing their personal bias into the results. But even if there is a bias, the same experiment may be done by other people who have other biases or who are more successful in working in an unbiased manner. Eventually, truth will emerge.
The results of a science experiment do not have to match the original hypothesis. Indeed, the results collected in an experiment may be completely different to those that the scientist predicted.
Communicate results
Experimentation in science is done following strict scientific protocols. A basic approach is to first form a hypothesis, which is simply a good guess of what will happen in the experiment. After the experiment you examines the data and compare them with the hypothesis. You then comment on how they may or may not match, and then you could publish the results. It is important that the method of how you conducted the experiment and what that was used is included in the report, so that others might try to duplicate your results. If other scientists do the same experiment and get the same results as you did, your report is then strengthened, and it will therefor gain a higher value of credulity.
A confounding variable is a factor in a study that correlates with both the independent and dependent variables, potentially leading to incorrect conclusions about the relationship between them. These variables can affect the outcome of an experiment by introducing bias or confusion into the results.
trend and patter of results.. possibly even a conclusion followed by an evaluation!
When you are doing an experiment you may need to repeat it several times. you average you results afterwards in order to come up with a number or result that is most likely to happen.
Variable
They may publish their results.
anything that is not being tested in an experiment but may affect the results that you get.
For something to become a theory it must be widely recognized as a legitimate way to answer the certain question. The trouble with the results of one experiment is that it may be true or perhaps the results depend on a hidden variable or more. If the results are replicated under slightly different conditions, we become more confident in the generalizing of the results. (Concept: It happened in this experiment vs. it will happen in all similar experiments.)