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What is Hypothesis Testing of Type I Error?
Rejecting a true null hypothesis.
Does rejecting null hypothesis mens accepting alternate hypothesis?
Yes, usually.
What is an alpha error?
An alpha error is another name in statistics for a type I error, rejecting the null hypothesis when the null hypothesis is true.
When you reject the Null Hypothesis that means that the Null Hypothesis cannot be correct?
No. Rejecting the Null Hypothesis means that there is a high degree of probability that it is not correct. This degree of probability is the critical level that you choose for the test statistic. However, there is still a small probability that the null hypothesis was correct.
What is Type I Error - a false-positive error?
Rejecting a true null hypothesis.
What is Hypothesis Testing of Type I Error?
Rejecting a true null hypothesis.
If you Increasing alpha from 01 to 05 will it increase the probability of rejecting the null hypothesis?
Increasing alpha from .01 to .05 will increase the probability of rejecting the null hypothesis when it is true.
Does rejecting null hypothesis mens accepting alternate hypothesis?
Yes, usually.
What does rejecting your null hypothesis mean?
Rejecting null hypothesis means that rumour of a fact is been experimented in d lab and the reseacher later discovered that hypothesis pseudo i.e fack fact but not a theory
What increases the chances of rejecting null hypothesis?
sample size
What is an alpha error?
An alpha error is another name in statistics for a type I error, rejecting the null hypothesis when the null hypothesis is true.
Is the critical region the values of the test statistics for which the null hypothesis will reject?
The null hypothesis will not reject - it is a hypothesis and is not capable of rejecting anything. The critical region consists of the values of the test statistic where YOU will reject the null hypothesis in favour of the expressed alternative hypothesis.
When you reject the Null Hypothesis that means that the Null Hypothesis cannot be correct?
No. Rejecting the Null Hypothesis means that there is a high degree of probability that it is not correct. This degree of probability is the critical level that you choose for the test statistic. However, there is still a small probability that the null hypothesis was correct.
What is Type I Error - a false-positive error?
Rejecting a true null hypothesis.
Changing the alpha level to .05 from .01 what does it do to the risk of Type 1 error?
This will reduce the type 1 error. Since type 1 error is rejecting the null hypothesis when it is true, decreasing alpha (or p value) decreases the risk of rejecting the null hypothesis.
How do you eliminate type 1 errors?
I believe you have to design a null hypothesis that is very precise in order to avoid false positives ( rejecting the null hypothesis when it is actually true). Tricky question though!
What is Hypothesis Testing of Alpha Value?
Probability of rejecting a true null hypothesis; that is, the alpha value or risk you are willing to take probabilistically speaking.
