Table of Contents
- 1 What determines if you reject the null hypothesis?
- 2 Do you reject the null if P Alpha?
- 3 What is Alpha in statistics?
- 4 What does it mean if a researcher sets his her Alpha at say .01 and rejects the null hypothesis?
- 5 What type of error is made if you reject the null hypothesis when the null hypothesis is actually true?
- 6 What is alpha value in hypothesis testing?
What determines if you reject the null hypothesis?
After you perform a hypothesis test, there are only two possible outcomes. When your p-value is less than or equal to your significance level, you reject the null hypothesis. The data favors the alternative hypothesis. When your p-value is greater than your significance level, you fail to reject the null hypothesis.
Do you reject the null if P Alpha?
If your p-value is less than your selected alpha level (typically 0.05), you reject the null hypothesis in favor of the alternative hypothesis. If the p-value is above your alpha value, you fail to reject the null hypothesis.
When null hypothesis is not rejected we conclude that?
If the null hypothesis is not rejected, we conclude that H0 is true. You just studied 16 terms!
What is Alpha in statistics?
Alpha is also known as the level of significance. This represents the probability of obtaining your results due to chance. The smaller this value is, the more “unusual” the results, indicating that the sample is from a different population than it’s being compared to, for example.
What does it mean if a researcher sets his her Alpha at say .01 and rejects the null hypothesis?
01 level. If the probability of your observed relationship is less than the set alpha level (e.g., . 01 or . 05) then you will reject the null hypothesis.
When a null hypothesis Cannot be rejected we conclude that?
When we reject the null hypothesis when the null hypothesis is true. When we fail to reject the null hypothesis when the null hypothesis is false. The “reality”, or truth, about the null hypothesis is unknown and therefore we do not know if we have made the correct decision or if we committed an error.
What type of error is made if you reject the null hypothesis when the null hypothesis is actually true?
If we reject the null hypothesis when the statement in the null hypothesis is true, we have made a Type I error. A Type I error occurs if the null hypothesis is rejected when, in fact, the null hypothesis is true.
What is alpha value in hypothesis testing?
Alpha is a threshold value used to judge whether a test statistic is statistically significant. Alpha represents an acceptable probability of a Type I error in a statistical test. Because alpha corresponds to a probability, it can range from 0 to 1.