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What is the significance of a hypothesis?
The significance test is the process used, by researchers, to determine whether the null hypothesis is rejected, in favor of the alternative research hypothesis, or not.
What is test statistic?
This is used in statistic to know whether to accept or reject a null hypothesis or alternative hypothesis
What iS Sig. (2-tailed)?
Sig. (2-tailed), or the two-tailed significance level, is a statistical measure used in hypothesis testing to determine the probability of observing a test statistic as extreme as the one obtained, assuming the null hypothesis is true. It evaluates both directions of the effect, indicating whether the results are significantly different from the null hypothesis in either direction. A common threshold for significance is 0.05; if the Sig. (2-tailed) value is less than this, the null hypothesis is typically rejected.
Explain null hypothesis versus alternative hypothesis?
The null hypothesis is that there is no change in the population mean while the alternative hypothesis is that there is a change in the mean. The null hypothesis is stated as Ho:Mu=? in statistics while the alternative hypothesis is stated as Ho:Mu(<,>,≠)? depending on whether you are looking for mu to be greater, less than, or not equal to population mean.
When the null hypothesis is true then the t statistics will have an average value of?
There can be no proper answer since it is not known whether the alternative hypothesis is one sides or two sided.
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 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 is it called when scientists state whether their data confirmed or rejected the hypothesis?
Drawing a conclusion apex
What it called when scientists state whether their data confirm or rejected the hypothesis?
Stating a conclusion.
What is it call when scientist states whether data confirmed or rejected the hypothesis?
Drawing a conclusion apex
Can a hypothesis that has been rejected be of any value to scientists?
Yes. But usually a hypothesis (if, then, because statement) is changed overtime to establish a conclusion on the investigation. The point of the collection of the data is to show whether or not the hypothesis was supported, and if not needs to be corrected/modified. Certain parts may still be helpful/kept but in most cases it is changed
How do scientists determine whether to accept or reject their hypothesis?
Scientists determine whether to accept or reject their hypothesis by conducting experiments and collecting data to test its predictions. They analyze the results statistically to assess if the evidence supports the hypothesis or not. If the data consistently contradicts the hypothesis, it is rejected; if it aligns with the predictions, the hypothesis may be accepted or revised accordingly. Peer review and replication of results by other scientists further validate the findings.
How do scientists determine whether a hypothesis is supported?
Scientists determine whether a hypothesis is supported by conducting experiments or observations that yield data related to the hypothesis. They analyze the results using statistical methods to assess if the data aligns with the predictions made by the hypothesis. If the evidence consistently supports the hypothesis across multiple trials and is reproducible, it is considered supported; otherwise, it may be rejected or revised. Ultimately, peer review and further experimentation contribute to validating the findings.
What is the significance of a hypothesis?
The significance test is the process used, by researchers, to determine whether the null hypothesis is rejected, in favor of the alternative research hypothesis, or not.
How do scientists decide whether or not to reject or accept a hypothesis?
if the hypothesis is proven to be correct or incorrect
What is it called when a scienstist states whether their data corfirmed or rejected the hypothesis?
drawing a conclusion.
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.
