No, because the two populations from which the samples are selected do not appear to have equal variances.
<h3><u>What is an fMRI?</u></h3>
Functional magnetic resonance imaging (fMRI), a sort of noninvasive brain imaging technique, was created in the early 1990s and uses changes in blood flow to identify brain activity.
An fMRI can show which area of the brain is engaged when you lift your arm or even merely think about something. This knowledge can be used by medical professionals and researchers to recognize, monitor, and treat a variety of illnesses.
<u>What is an fMRI used for?</u>
fMRIs are often employed in both clinical and academic settings. With the use of this technology, we can comprehend the function of the brain both in a healthy state and one that is ill.
Uses for an fMRI include:
- plan for surgery or other therapies by identifying conditions
- look for anomalies
- determining which brain areas control vital activities.
- analyze how ailments and injuries including cancer, concussions, and epilepsy affect cognitive function.
- the effectiveness of a medicine.
Learn more about fMRIs with the help of the given link:
brainly.com/question/12078873
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Answer:
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Explanation:
One of the example would be C<span>hanging the data to support the hypothesis.
Changing data to support the hypothesis woulld definitely make the studies turn into wrong direction every course of the way.
If the study is being done for mass consumption (such as development of new drugs) , this type of behavior could could cause a lot of health risks to many people (even death)</span>