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It means how many times it is used in or thought of in an expieriment
A hypothesis is an 'educated guess' based on observation and common sense. A theory is a commonly-accepted hypothesis that has held under the pressure of testing by many different scientists.
Trials
Evolution is an observed and observable fact. The theory of evolution by natural selection explains many things about evolution. The theory generates testable hypothesis, as any good theory does. Remember, theory is the highest concept in science.
After making careful observations,scientists construct a hypotesis and a scientific theory is a statement that supported by many scientific observations. so a theory is firm, because a scientific theory is an explanation of a broad range of related phenomena based on repeated testing of a hypothesis
Trials
Number of trials is how many times you test your hypothesis. When you are doing trials the end result may come out differently every time.
Number of trials is how many times you test your hypothesis. When you are doing trials the end result may come out differently every time.
It means how many times it is used in or thought of in an expieriment
A hypothesis is an 'educated guess' based on observation and common sense. A theory is a commonly-accepted hypothesis that has held under the pressure of testing by many different scientists.
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.
Theories are ideas accepted as most likely true. Theories are basically hypotheses which have been tested many times by many people and are found to be true.
Trials
Evolution is an observed and observable fact. The theory of evolution by natural selection explains many things about evolution. The theory generates testable hypothesis, as any good theory does. Remember, theory is the highest concept in science.
After making careful observations,scientists construct a hypotesis and a scientific theory is a statement that supported by many scientific observations. so a theory is firm, because a scientific theory is an explanation of a broad range of related phenomena based on repeated testing of a hypothesis
After making careful observations,scientists construct a hypotesis and a scientific theory is a statement that supported by many scientific observations. so a theory is firm, because a scientific theory is an explanation of a broad range of related phenomena based on repeated testing of a hypothesis
A scientific theory must be based on many repeated correct experiments; also this theory must be related with other accepted theories.