Contents
What is a between sample t-test?
The two-sample t-test (also known as the independent samples t-test) is a method used to test whether the unknown population means of two groups are equal or not.
What are the conditions for a one sample t-test?
Your data must meet the following requirements:
- Test variable that is continuous (i.e., interval or ratio level)
- Scores on the test variable are independent (i.e., independence of observations)
- Random sample of data from the population.
- Normal distribution (approximately) of the sample and population on the test variable.
Can you use percentages in Anova?
Also, this page: http://archive.bio.ed.ac.uk/jdeacon/statistics/tress4.html indicates that ANOVA is not applicable for percentage values, and a transformation is needed.
What is the difference between a percentage and a proportion?
Proportion is the relation or the equality between two ratios or fractions, while the percentage is a ratio or a fraction whose denominator is always 100. The percentage is out of 100. The Proportion is out of any given total.
What is the P-value in a one sample t test?
This p-value describes the likelihood of seeing a sample average as extreme as 21.4, or more extreme, when the underlying population mean is actually 20; in other words, the probability of observing a sample mean as different, or even more different from 20, than the mean we observed in our sample.
What is the formula for one sample t test?
One Sample t-test: Formula A one-sample t-test always uses the following null hypothesis: H0: μ = μ0 (population mean is equal to some hypothesized value μ0) The alternative hypothesis can be either two-tailed, left-tailed, or right-tailed:
What are the requirements for one sample t?
Your data must meet the following requirements: Test variable that is continuous (i.e., interval or ratio level) Homogeneity of variances (i.e., variances approximately equal in both the sample and population) The null hypothesis ( H0) and (two-tailed) alternative hypothesis ( H1) of the one sample T test can be expressed as:
When is a t test appropriate for percentages?
Thomas Hopkins , the issue isn’t that t -test isn’t appropriate for percentages. There are cases where t -test may be (more-or-less) appropriate for percentages. For example, if you had exam grades from each of your 2000 participants. As Jochen Wilhelm suggests, one natural way to handle your set-up is a chi-square test of association.
Can a sample t test be used to compare two groups?
It can not compare sample means between two or more groups. If you wish to compare the means of multiple groups to each other, you will likely want to run an Independent Samples t Test (to compare the means of two groups) or a One-Way ANOVA (to compare the means of two or more groups). Your data must meet the following requirements: