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What is the minimal number of times that an experiment should be repeated?
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How to write repeated multiplication of a factor by using an exponent?
To write repeated multiplication in an exponential notation, you should write the number that has to be multiplied as the base. Count the number of times that the number is used.
Why should exsperiments be repeated?
They should be repeated to make sure they work u retartd ! who askes that stupid quistion go home . YOLO(: BY : autumn parent
What is the minimum number of data points an experiment should gather?
A minimum of 6 sets of data are needed to make a valid conclusion.
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.
Why can't you test more than one variable in an experiment?
you can't because you will not have the right results to the experiment.In order to make sure you are getting good results from an experiment you should conduct repeated trials, use only one control group, have as many individuals as possible in both the control group and the experimental group, and test only one independent variable at a time.Hope that helped!
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why should an experiment be repeated
Which condition is necessary for an experiment to yield useful data?
similar results should be obtained when the experiment is repeated .
Researchers performing a well-designed experiment should base their conclusions on?
data from repeated trials of the experiment
Why should quantitative experiments be repeated?
Quantitative experiments should be repeated to make sure they are accurate. This also helps to get rid of outliers in the experiment.
What is a repeatable procedure?
An experiment which can be repeated and will yield the same results. Ex. If x+y=z in the experiement if you try the experiment again you should get the same result "z".
What should you do if repeated trials give very different results?
If , in the course of your experiment, you run repeated trials with differing results, it is necessary to ensure that only one variable is changing for each experiment. Recheck the data collected for errors.
What questions should Emma ask the student to find out if the student's conclusion was valid?
I.What types of plants were used in the experiment?II.What was the experiment's control? III.Was the experiment repeated more than once?
How many times should a experiment be repeated before reaching a conclusion?
as much data as possible can be colleced in the time availble
Does an experiment need to be repeatable?
It is only science if it can be repeated, so yes, experiments do need to be repeatable in order for something to be proven. The results of the experiment should be comperable if something is to be learned.
Why do experiments have to be repeatable?
Apex Experimental results are not reliable if they are not repeatable.
How to write repeated multiplication of a factor by using an exponent?
To write repeated multiplication in an exponential notation, you should write the number that has to be multiplied as the base. Count the number of times that the number is used.
When the evidence in a scientific experiment does not support the hypothesis what should the scientist do?
When the evidence in a scientific experiment does not support the hypothesis the scientist:Confirm through repeated experimentation that the evidence is validReject the hypothesisDevelop another hypothesis that is consistent with the valid evidence
