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At what number do you reject the null hypothesis?
If there is less than a 5% chance of a result as extreme as the sample result if the null hypothesis were true, then the null hypothesis is rejected. When this happens, the result is said to be statistically significant .
Do you reject the null hypothesis at the 1% level?
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.
When to reject or reject the null hypothesis?
Let’s return finally to the question of whether we reject or fail to reject the null hypothesis. If our statistical analysis shows that the significance level is below the cut-off value we have set (e.g., either 0.05 or 0.01), we reject the null hypothesis and accept the alternative hypothesis.
Can a hypothesis be rejected at the significance level?
Alternatively, if the significance level is above the cut-off value, we fail to reject the null hypothesis and cannot accept the alternative hypothesis. You should note that you cannot accept the null hypothesis, but only find evidence against it.
What happens when the null hypothesis is higher than the critical value?
That is, it entails comparing the observed test statistic to some cutoff value, called the ” critical value .”. If the test statistic is more extreme than the critical value, then the null hypothesis is rejected in favor of the alternative hypothesis.
What are the different types of null hypothesis?
Generally, there are two types of hypothesis. One is a null hypothesis and another is an alternate hypothesis. In probability and statistics, the null hypothesis is a comprehensive statement or default status that there is zero happening or nothing happening.