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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.
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.
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.
How is the null hypothesis used in hypothesis testing?
Statistical tests compare the observed (or more extreme) values against what would be expected if the null hypothesis were true. If the probability of the observation is high you would retain the null hypothesis, if the probability is low you reject the null hypothesis. The thresholds for high or low probability are usually set arbitrarily at 5%, 1% etc. Strictly speaking, when rejecting the null hypothesis, you do not accept the alternative hypothesis because it is possible that neither are true and it is the model itself that is wrong.
What does the researcher hope to do with null hypothesis the opposite of the research hypothesis?
Be able to reject the null hypothesis and accept the research hypothesis
