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To be more sure of their results. Say you are testing the effects of aspirin on Heart disease. If you only tested two people (one that got aspirin and one that got a placebo) there are an enormous number of reasons why the two people could be different BESIDES getting aspirin or placebo. If you tested 1000 that got aspirin and 1000 that got placebo and the two groups differed, it should be because of the aspirin (the other possible explanations should cancel-out in such a large sample, why would all the people with the worst heart health or all the men end-up in one group?). The larger the "sample size" the more sure we will be that the effect was actually due to the aspirin. This also enables us to look not at the effect of aspirin on an individual (something that is very unstable and varies a lot from person to person) but the effect of aspirin on a GROUP. An effect that is far more stable. In general, the more variable the effects, the larger the sample you will need. Physics and Chemistry usually deal with very stable effects, so they need a small sample. Psychology, Sociology and other Social Sciences usually deal with very variable effects, so they need LOTS of people to be sure the effects they see are real. In general, the larger the sample is, the more accurate our results are. Large samples also ensure a normal distribution and other advantages for statistical testing, but these samples must be RANDOM samples or they do not mean what we think they do.
Wiki User
∙ 14y ago
Wiki User
∙ 14y agothe variable is responsible for any changes and the more accurate the data collected are likely to be.
Wiki User
∙ 12y agoScientists might conduct multiple trial experiments rather than rely on a single trial because if there are different out comes you can choose the most common one.
Wiki User
∙ 11y agoscientists use many individuals I their experiment because the more individuals are tested ,the smaller the effect of a difference between individuals will be
Wiki User
∙ 8y agoScientists might conduct multiple trial experiments rather than rely on a single trial. This is because the trial might have had kinks or it could have been a fluke.
Wiki User
∙ 8y agotheir results are more likely to be reliable
Wiki User
∙ 11y agobecause
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Why is it important to have as many subjects as possible in a scientific investigation?
Test groups should be as large as possible to eliminate the influence of undetected differences in the test subjects.
Why do scientists test other scientists conclusions?
Lots of different scientists test the same things to compare different conclusions.
How do scientists test hypotheses?
Scientists test hypothesis by setting up an experiment. They choose a independent and a dependent variable and test the experiment.
What do scientists test?
if your referring to the scientific method, scientists test the dependent variable
What were early scientists not able to do to their theroies?
early scientists were not to test their theroies
Why do scientists try to test large groups of individuals in control and experiment groups?
There are always possibilities that certain persons respond differently to scenarios presented in experiments. So, in order to get a better correlation between variables and outcomes, and to be able to determine outliers in the statistical data, the sample population in each is made as large as possible in each group.
Why do scientists like to use fruit flies for experiments?
The reason scientists like to use Fruit Flies for experiments, it because they have such a short life, that it won't really matter if you accidentally kill it. Also, when scientists conduct an experiment, they like to test it on large groups. Fruit flies can create 500 hundred babies in less than two weeks.
Why do scientists try to test large groups of individuals in control and experimental groups?
Testing large groups rules out statistical anomalies. For example, one could flip a coin and have it be heads twice in a row. From this example, it might be deduced that the coin only lands on heads. If one flips the coin several thousand times, they would likely see a relatively close amount of heads and tails being flipped.
How scientists test hypothheses?
To test hypotheses, scientists create experiments.
Why is it important to have as many subjects as possible in a scientific investigation?
Test groups should be as large as possible to eliminate the influence of undetected differences in the test subjects.
Why do scientists test other scientists conclusions?
Lots of different scientists test the same things to compare different conclusions.
How do scientists test hypotheses?
Scientists test hypothesis by setting up an experiment. They choose a independent and a dependent variable and test the experiment.
What do scientists test?
if your referring to the scientific method, scientists test the dependent variable
What were early scientists not able to do to their theroies?
early scientists were not to test their theroies
What do scientists form and test?
hypotheses
Why is important for scientists to share information?
So that other scientists can test what you told them.
What can scientists build to test their hypotheses?
models
