Contents
How do you know if you accept or 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.
What is an exact binomial test?
The binomial test is an exact test to compare the observed distribution to the expected distribution when there are only two categories (so only two rows of data were entered). In this situation, the chi-square is only an approximation, and we suggest using the exact binomial test instead.
How to see the results of a t test?
For a two-sample (independent) t-test, statistics programs usually display the sample means of each group, mA and mB, and the statistic t, together with an associated degrees-of-freedom ( df ), and the statistic p . For a paired t-test, statistics programs usually display…
When to use the one sample t test?
It is used to check whether two data sets are significantly different from each other or not. One of the variants of the t-test is the one-sample t-test which is used to determine if the sample is significantly different from the population.
What do you need to know about the ttest?
With a ttest, the researcher wants to state with some degree of confidence that the obtained difference between the means of the sample groups is too great to be a chance event and that some difference also exists in the population from which the sample was drawn.
Are there other tests other than the t test?
The t-test is just one of many tests used for this purpose. Statisticians must additionally use tests other than the t-test to examine more variables and tests with larger sample sizes. For a large sample size, statisticians use a z-test. Other testing options include the chi-square test and the f-test.