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A hypothesis can be considered more robust and reliable as it is supported by a greater number of repeated trials yielding consistent results. However, there is no fixed number of trials that guarantees acceptance; the validity of a hypothesis also depends on the quality of the data, the experimental design, and the statistical significance of the results. Ultimately, a hypothesis is accepted provisionally based on the weight of evidence rather than a specific count of trials. Continuous testing and peer review are essential for establishing scientific consensus.
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What is a Definition of trials in the scientific method?
It means how many times it is used in or thought of in an expieriment
What is the difference between an observation hypothesis and theory?
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.
What is a hypothesis that has been tested many times and that has been supported by data?
Trials
Explain why a theory is also a hypothesis example of a theory that is a hypothesis supported by repeated experimentation?
A theory is a well-substantiated explanation of some aspect of the natural world that is based on a body of evidence, whereas a hypothesis is a proposed explanation that can be tested through experimentation. A classic example of a theory that began as a hypothesis is the germ theory of disease, which posited that microorganisms cause many diseases. This theory was supported by repeated experimentation and observations, such as Pasteur's work on fermentation and Koch's postulates, ultimately leading to its acceptance as a foundational principle in microbiology and medicine.
Is a theory or a hypothesis?
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.
What is number of 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.
What is numbering 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.
What is a Definition of trials in the scientific method?
It means how many times it is used in or thought of in an expieriment
What is the difference between an observation hypothesis and theory?
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.
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 true hypothesis are rarely rejected as false a theory is basically the same as a hypothesis therios are ideas accepted as most likely true all scientific studies are share?
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.
What is a hypothesis that has been tested many times and that has been supported by data?
Trials
Explain why a theory is also a hypothesis example of a theory that is a hypothesis supported by repeated experimentation?
A theory is a well-substantiated explanation of some aspect of the natural world that is based on a body of evidence, whereas a hypothesis is a proposed explanation that can be tested through experimentation. A classic example of a theory that began as a hypothesis is the germ theory of disease, which posited that microorganisms cause many diseases. This theory was supported by repeated experimentation and observations, such as Pasteur's work on fermentation and Koch's postulates, ultimately leading to its acceptance as a foundational principle in microbiology and medicine.
Is a theory or a hypothesis?
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.
Explain the most widely-accepted hypothesis about how the Moon was formed?
The most widely accepted theory for how Earth's moon was formed is called the impact theory. It says that the moon formed from a collision between Earth and a Mars-sized object about four and a half billion years ago.
What are strongly accepted principles supported by many hypotheses that have been collectively confirmed through repeated research?
The theory of evolution by natural selection is a strongly accepted principle in biology, supported by numerous hypotheses and confirmed through extensive research. Another example is the principle of gravity in physics, which has been tested and confirmed through various experiments and observations. Both of these principles have withstood the test of time and are widely recognized within their respective fields.
Is a hypothesis firm as a theory?
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
