0
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 else can I help you with?
Why was this hyphothesis rejected?
The hypothesis was rejected because the results did not support it based on the data collected during the experiment. The data may have shown no significant difference or opposite results than what was predicted in the hypothesis, leading to its rejection.
The results you expect when you test hypothesis?
You are supposed to assume/expect that nothing happens, or the norm happens. E.g. if you are testing if plants grow more in light, you assume they dont, then see if that expectation is consistent with the result.
Why the blending hypothesis rejected as the method of inheritance?
The blending hypothesis was rejected as the method of inheritance because it could not explain the observed patterns of inheritance, especially the reappearance of traits in later generations that were not visible in the immediate offspring. Additionally, the blending hypothesis does not account for the variation observed in offspring that is more consistent with the principles of Mendelian genetics.
What is it called when scientists state whether their data confirmed or rejected the hypothesis?
Drawing a conclusion apex
In scientific method An hypothesis is accepted when it is above the cut-off value and it is rejected when it is below the cut-off value. If our statistical analysis shows that the significance level i?
If the statistical analysis shows that the significance level is below the predetermined alpha level (cut-off value), then the hypothesis is rejected. This suggests that there is enough evidence to believe that the results are not due to random chance. If the significance level is above the alpha level, then the hypothesis is accepted, indicating that the results are not statistically significant and may be due to random variation.
What is meant by null hypothesis rejected?
It tells us that H1,H0 (alternative )hypothesis is selected
What is Hypothesis H0 and H1?
H0 is the null hypothesis and h1 is the alternative hypothesis
How many types of errors in taking a decision about Ho?
There are two types of errors associated with hypothesis testing. Type I error occurs when the null hypothesis is rejected when it is true. Type II error occurs when the null hypothesis is not rejected when it is false. H0 is referred to as the null hypothesis and Ha (or H1) is referred to as the alternative hypothesis.
What is the symbol for alternative hypothesis?
Either H1 or Ha.
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.
Does the Null hypothesis always include an equality?
Yes; the null hypothesis, H0, always includes an equality. The alternative hypothesis, H1, is >, <, or does not equal.
What is the symbol for research hypothesis?
symbol for research hypothesis are written in two ways . Ha or H1 . both meant to address research hypothesis.
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.
