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What else can I help you with?
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
What is the directional and non-directional hypothesis testing?
In statistical hypothesis testing you have a null hypothesis against which you are testing an alternative. The hypothesis concerns one or more characteristics of the distribution. It is easier to illustrate the idea of directional and non-directional hypothesis. In studying the academic abilities of boys and girls the null hypothesis would be that boys and girls are equally able. One directional hypothesis would be that boys are more able. The non-directional alternative would be that there is a gender difference. You have no idea whether boys are more able or girls - only that they are not the same.
When would you have to restate your hypothesis?
If, through your experiment, your original hypothesis is falsified.
Which sentence was the most likely hypothesis for the experiment?
The most likely hypothesis for the experiment was that increasing the temperature would speed up the reaction.
What would be the best thing to do if you run an experiment and find out the hypothesis is incorrect?
Reject the hypothesis.
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.
When in a science inquiry would scientists find out if their hypothesis is supported?
When their hypothesis for the conducted experiment is accurate.
Should flemings hypothesis be supported or rejected based on the experiment?
To determine whether Fleming's hypothesis should be supported or rejected based on an experiment, one would need to analyze the results of the experiment in relation to the hypothesis. If the data from the experiment aligns with the predictions made by Fleming's hypothesis, then it should be supported. However, if the results contradict the hypothesis, it may need to be rejected or revised.
What is a logical statement about what will happen in an experiment if the hypothesis is supported?
If the hypothesis is supported in an experiment, the expected outcome or result predicted by the hypothesis will likely be observed. This would provide evidence to validate the hypothesis and support the initial reasoning or explanation provided.
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.
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
