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Describe the experiment you would perform to test your hypothesis?
Wiki User
∙ 10y ago
It depends entirely on what the hypothesis is.
Wiki User
∙ 10y ago
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If your experiment does not support your hypothesis then you should change your data to support your hythesis?
No. It just means that what you hypothesized would happen didn't. You shouldn't change anything. A hypothesis is simply a guess on what will happen, so if your guess isn't true that's okay.
What is the 95 percent confidence interval for statistics?
In statistics you have an experiment which will consist of one or more measurements. These measurements are converted to some statistic: it could be the sample mean, variance, maximum or something else. If you repeated the experiment, the value of this statistic would also change.If your hypothesis is true - whether in terms of the distribution or its parameters - and you repeated the experiment many times, you should expect the statistic to fall within the confidence interval (CI) in 95% of your trials. Even if the hypothesis is true, you should expect random variations to cause your statistic to lie outside the CI in 5% of cases.If you have a result that falls outside the 95% CI, it could be because you were unlucky and hit upon one of the 5% of rogue cases or that your hypothesis was incorrect. In this case you play the odds and conclude that your [null] hypothesis was incorrect.In statistics you have an experiment which will consist of one or more measurements. These measurements are converted to some statistic: it could be the sample mean, variance, maximum or something else. If you repeated the experiment, the value of this statistic would also change.If your hypothesis is true - whether in terms of the distribution or its parameters - and you repeated the experiment many times, you should expect the statistic to fall within the confidence interval (CI) in 95% of your trials. Even if the hypothesis is true, you should expect random variations to cause your statistic to lie outside the CI in 5% of cases.If you have a result that falls outside the 95% CI, it could be because you were unlucky and hit upon one of the 5% of rogue cases or that your hypothesis was incorrect. In this case you play the odds and conclude that your [null] hypothesis was incorrect.In statistics you have an experiment which will consist of one or more measurements. These measurements are converted to some statistic: it could be the sample mean, variance, maximum or something else. If you repeated the experiment, the value of this statistic would also change.If your hypothesis is true - whether in terms of the distribution or its parameters - and you repeated the experiment many times, you should expect the statistic to fall within the confidence interval (CI) in 95% of your trials. Even if the hypothesis is true, you should expect random variations to cause your statistic to lie outside the CI in 5% of cases.If you have a result that falls outside the 95% CI, it could be because you were unlucky and hit upon one of the 5% of rogue cases or that your hypothesis was incorrect. In this case you play the odds and conclude that your [null] hypothesis was incorrect.In statistics you have an experiment which will consist of one or more measurements. These measurements are converted to some statistic: it could be the sample mean, variance, maximum or something else. If you repeated the experiment, the value of this statistic would also change.If your hypothesis is true - whether in terms of the distribution or its parameters - and you repeated the experiment many times, you should expect the statistic to fall within the confidence interval (CI) in 95% of your trials. Even if the hypothesis is true, you should expect random variations to cause your statistic to lie outside the CI in 5% of cases.If you have a result that falls outside the 95% CI, it could be because you were unlucky and hit upon one of the 5% of rogue cases or that your hypothesis was incorrect. In this case you play the odds and conclude that your [null] hypothesis was incorrect.
What is the next step in an experiment if the results are statistically significant?
Assuming you have done all of the necessary analysis and graph plotting, the next stage would be to write up your results in a report and derive an equation to describe the trend. Then repeating the experiment to ascertain whether the results are repeatable would be a good idea!
Why must a controlled experiment have one manipulated variable?
a controlled experiment must have only one manipulated variable becuase if the experiment had multiple manipulated variables then it would not be a controlled experiment anymore it would be a manipulated Deseret experiment
Is there an experiment to see if pollination is required for fruit formation?
If you're asking if it would be possible to design and perform such an experiment, certainly it would. It would probably involve tying bags or something around the flowers of a fruiting plant to prevent pollination from occurring and then seeing whether or not any fruit developed from those flowers. If you're asking if anyone is actually doing so currently... not that I know of.
Describe an experiment that would test the hypothesis that bees come from the buried horns of a bull?
TRY AT OWN RISK!
When would you have to restate your hypothesis?
If, through your experiment, your original hypothesis is falsified.
Salt melt ice and what is the hipotheses of this experiment?
Hypothesis: Sprinkle Salt on ice would melt the ice. Null-Hypothesis: Sprinkle Salt do ice do not melt the ice. Theory behind hypothesis: (explain what any why you believe the salt do or interact to melt the ice like if it exert heat from solution) Hypothesis is just write the sentence describe what would you believe in the result and what might be the cause of what is going on. You then design experiment base on your hypothesis.
What would be the best thing to do if you run an experiment and find out the hypothesis is incorrect?
Reject the hypothesis.
How would you describe the nebular hypothesis?
no
When in a science inquiry would scientists find out if their hypothesis is supported?
When their hypothesis for the conducted experiment is accurate.
Is a scientific hypothesis a accepted if there is no way to demonstrate that the hypothesis is wrong?
If you develop an experiment that truly demonstrates that the hypothesis is wrong*, then the hypothesis will lose its acceptance in the scientific community.* Such an experiment would have to be repeatable by other scientists AND accepted by interested scientists as a proof that the hypothesis is wrong.
Is a scientist hypothesis accepted if there is no way to prove that they hypothesis is wrong?
If you develop an experiment that truly demonstrates that the hypothesis is wrong*, then the hypothesis will lose its acceptance in the scientific community. * Such an experiment would have to be repeatable by other scientists AND accepted by interested scientists as a proof that the hypothesis is wrong.
What is formulating a new question called in a science experiment?
A new question in an experiment would be a revised hypothesis.
Where do you use hypothesis?
You would use a hypothesis during an experiment. The experiment does not necessarily have to be of science, though the term hypothesis is primarily used for such category.wordnet.princeton.edu/perl/webwn defines hypothesisas# a proposal intended to explain certain facts or observations # guess: a message expressing an opinion based on incomplete evidence A hypothesis is seen in the beginning of an experiment, stating a prediction by the one(s) conducting and carrying out the experiment. The rest of the experiment, or procedure with data, then serves to prove the hypothesis a true and possible prediction, or to be incorrect. The outcome of the experiment is what determines if the stated hypothesis is a successful and true proposal.The hypothesis's success or failure is recorded in the conclusion section of the experiment, located reasonably at the end.-youFITCH.
How would you test for your hypothesis?
You would test your hypothesis by predicting what the results of your experiment will be so it's like a type of prediction. Another way is what do you think the outcome will be.
How would a scientist deal with an experiment that looked as if it were not going to support the hypothesis?
by doing an ecperment
