Contents
How do you tell if a mean is statistically different?
Look up the normal distribution in a statistics table. Statistics tables can be found online or in statistics textbooks. Find the value for the intersection of the correct degrees of freedom and alpha. If this value is less than or equal to the chi-square value, the data is statistically significant.
What test will be be using to test the difference in means?
A t-test is a type of inferential statistic used to determine if there is a significant difference between the means of two groups, which may be related in certain features. The t-test is one of many tests used for the purpose of hypothesis testing in statistics.
How to compare two groups for statistical differences?
In the final part of the article, a test selection algorithm will be proposed, based on a proper statistical decision-tree for the statistical comparison of one, two or more groups, for the purpose of demonstrating the practical application of the fundamental concepts.
What does it mean to have a statistically significant difference?
A “statistically significant difference” simply means there is statistical evidence that there is a difference; it does not mean the difference is necessarily large, important, or significant in terms of the utility of the finding.
When to use independent samples in statistical analysis?
An independent samples t-test is used when you want to compare the means of a normally distributed interval dependent variable for two independent groups. For example, using the hsb2 data file, say we wish to test whether the mean for write is the same for males and females. t-test groups = female (0 1) /variables = write.
What does independence of observations mean in statistics?
Independence of observations: the observations/variables you include in your test should not be related (e.g. several tests from a same test subject are not independent, while several tests from multiple different test subjects are independent)