0
What else can I help you with?
What is the most important thing about a hypothesis?
The most important thing about a hypothesis is that it is testable and falsifiable. This means that the hypothesis can be supported or rejected based on evidence gathered from experiments or observations.
What is it called when scientists state shearer their data confirmed or rejected the hypothesis?
When scientists state that their data confirmed or rejected a hypothesis, it is typically referred to as "hypothesis testing." This process involves analyzing the collected data to determine whether it supports or contradicts the proposed hypothesis. The outcome can lead to the acceptance or rejection of the hypothesis, contributing to the scientific understanding of the phenomenon being studied.
What does it mean when the null hypothesis is rejected?
When the null hypothesis is rejected, it suggests that there is sufficient evidence to conclude that an effect or difference exists in the data being analyzed. This means that the observed results are unlikely to have occurred by random chance alone, implying that the alternative hypothesis may be true. However, it does not prove the alternative hypothesis; it simply indicates that the null hypothesis is not a plausible explanation for the observed data.
What is it called when scientists state whether their data confirmedor rejected the hypothesis?
When scientists evaluate whether their data confirmed or rejected the hypothesis, it is referred to as hypothesis testing. This process involves analyzing the results of experiments or observations to determine if they support or contradict the initial hypothesis formulated before the research. If the data supports the hypothesis, it may lead to further investigation; if it rejects the hypothesis, researchers may revise their understanding or formulate new hypotheses.
What happens if a hypothesis does not explain an observation?
If a hypothesis does not explain an observation, it may be rejected as a valid explanation for that particular phenomenon. Scientists typically revise or discard hypotheses that fail to account for observed data in order to develop more accurate models and theories. This iterative process helps refine our understanding of the natural world.
What is Rejected Hypothesis?
It is when you know that your hypothesis is wrong.
What causes a hypothesis to be rejected?
A hypothesis will be rejected if it fails the necessary testing required for it to become a scientific theory.
What is the most important thing about a hypothesis?
The most important thing about a hypothesis is that it is testable and falsifiable. This means that the hypothesis can be supported or rejected based on evidence gathered from experiments or observations.
Why can an accepted hypothesis be rejected at a later date?
The answer to the question why is this: It can be rejected at a later date because it is falsifiable in nature if it is a good hypothesis. If you meant to ask HOW it can be rejected, the answer is by way of further experimentation that rules out some or all of the hypothesis as stated.
What do you call the statement that determines if the null hypothesis is rejected?
The hypothesis test.
Are hypothesis often rejected?
no. you need to have solid proof that it exist.. else it will be rejected.
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.
How is H1 hypothesis rejected?
H1 hypothesis is rejected when the p-value associated with the test statistic is less than the significance level (usually 0.05) chosen for the hypothesis test. This indicates that the data provides enough evidence to reject the alternative hypothesis in favor of the null hypothesis.
What is the difference between a Type I error and a Type II error in hypothesis testing?
In hypothesis testing, a Type I error occurs when a true null hypothesis is incorrectly rejected, while a Type II error occurs when a false null hypothesis is not rejected.
Can hypothesis be supported or rejected by through experimentation?
yes
What is meant by null hypothesis rejected?
It tells us that H1,H0 (alternative )hypothesis is selected
Are you hypotheses rejected or accepted?
Hypotheses can be either rejected or accepted based on the results of an experiment or study. If the evidence supports the hypothesis, it is accepted; if the evidence contradicts it, the hypothesis is rejected. Ultimately, the decision is based on statistical analysis and the strength of the data collected.
