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Double-check your procedure and your lab technique. If they're still not what you predicted after eliminating any potential sources of error, then evidently you've learned that your initial premises were wrong, and you'll have to reject your hypothesis since you've proven that it's false.

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Why should an experimenter do after analyzing test results?

After analyzing test results, the experimenter should draw conclusions based on the data, determine whether the results support the hypothesis, and consider the implications of the findings. It is important to communicate the results clearly and accurately in a report or presentation to share the outcomes of the experiment with others.


What procedure helps correct for experimenter bias?

Using double-blind procedures where both the experimenter and participants are unaware of the group assignments can help correct for experimenter bias. This helps ensure that the results are not influenced by the experimenter's expectations or behavior. Additionally, having clear operational definitions, standardized protocols, and using randomization can also help minimize experimenter bias.


What should an experimenter do after analyzing data?

scientist analyes their experiment


What is experimental bias?

Experimenter Bias, also known as Experimenter Expectancy, is made up of all the things an experimenter might unwittingly do to influence the results of an experiment to resemble his hypothesis. You could consider this a self-fulfilling prophecy to some extent.


What are unintended consequences?

Results of an action that were not predicted or planned


Mendel used more than 28000 pea plants in his experiment. How does this large sample size make his results more reliable?

it made his actual results approach the results predicted by probability


Why might a double-blind study yield more reliable results than a single-blind study?

In single blind studies, the experimenter (or observer) is aware of who or what belongs to the control group and the experimental group.In double blind studies, the experimenter is not aware of who/what belongs to which group. This is to eliminate the subjective bias an experimenter may have.


How does a large sample size help to ensure that experimental results are reliable?

It made his actual results approach the results predicted by probability


How did Mendel's large sample size make his results more reliable?

it made his actual results approach the results predicted by probability.


When was Electrical Experimenter created?

Electrical Experimenter was created in 1913.


When did Electrical Experimenter end?

Electrical Experimenter ended in 1931.


What is it called when you want the results of your experiment to come out a certain way?

When someone wants the results of an experiment to come out a certain way, it is called experimenter bias or confirmation bias. This can lead to skewed results and undermine the validity of the experiment.