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You may want to prove that a given statistic of a population has a given value. This is the null hypothesis. For this you take a sample from the population and measure the statistic of the sample. If the result has a small probability of being (say p = .025) if the null hypothesis is correct, then the null hypothesis is rejected (for p = .025) in favor of an alternative hypothesis. This can be simply that the null hypothesis is incorrect.
What else can I help you with?
What is the meaning of a null hypnosis being rejected?
A null hypothesis being rejected means that statistical analysis has provided sufficient evidence to conclude that there is a significant effect or relationship present in the data, contrary to the null hypothesis, which typically posits no effect or relationship. This rejection suggests that the observed results are unlikely to have occurred by random chance alone. In practical terms, this often leads researchers to accept an alternative hypothesis that proposes a specific effect or relationship exists.
What do you call a statement that determines if the null hypothesis is rejected?
it is called structural resources because it has null as word
Is The probability at which the null hypothesis can be rejected with confidence is known as beta?
no
When can a null hypothesis be rejected?
Usually when the test statistic is in the critical region.
What do you call the statement that determines if the null hypothesis is rejected?
The hypothesis test.
Is The probability at which the null hypothesis can be rejected with confidence is known as level of significance?
Yes.
If you do not reject your null hypothesis what conclusion can be rejected?
Temperature does not affect seed germination rate.
Explain what is meant by null hypothesis?
The null hypothesis is an hypothesis about some population parameter. The goal of hypothesis testing is to check the viability of the null hypothesis in the light of experimental data. Based on the data, the null hypothesis either will or will not be rejected as a viable possibility.
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 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.
What is meant by null hypothesis rejected?
It tells us that H1,H0 (alternative )hypothesis is selected
If a test of hypothesis has a type I error probability of 0.01 it means?
It means that, if the null hypothesis is true, there is still a 1% chance that the outcome is so extreme that the null hypothesis is rejected.
