Types Of Statistical Tests Flashcards
(14 cards)
This test compares the mean of your sample data to a known value
One sample T test
This test is used to compare means derived from unpaired (uncorrelated) samples.
t-test for independent samples
This test is used to compare data which consists of scores that are paired or matched, such as before/after. Specifically, you use a paired t-test to determine whether the mean difference between two groups is statistically significantly different to zero.
T-test for Paired Data
This test is a statistical test used to determine whether two population means are different when the variances are known and the sample size is large. These tests are closely related to 1-tests, but t-tests are best performed when an experiment has a small sample size. Also, t-tests assume the standard deviation is unknown, while this test assume it is known
Z-test
This test is used to test whether a population parameter is significantly different from some hypothesized value
one-sample z-test
This test compares the mean for two samples.
two-sample z-test
This tests for a difference in proportions. This test allows you to compare two proportions to see if they are the same.
two proportion z-test
This test is a statistical calculation which describes the nature of the relationship between two variables. An important thing to remember when using this test is that it does not explain causation. This test merely indicates that a relationship or pattern exists, but it does not mean that one variable is the cause of the other.
correlation
This test is a statistical procedure used by researchers to examine the differences between categorical variables in the same population.
Chi-Square test
a statistical test commonly used to compare observed data with data we would expect to obtain. This test can be conducted when there is one categorical variable with more than two levels.
chi-square goodness-of-fit test
The test is applied when you have two categorical variables from a single population. It is used to determine whether there is a significant association between the two variables.
Chi - square test of independence
is used when you want to compare the means of more than two groups. This statistical tool is actually a more general form of the t-test that is appropriate to use with three or more groups
Analysis of Variance (ANOVA)
Use thsi test when you have collected data about one categorical independent variable and one quantitative dependent variable. The independent variable should have at least three levels (i.e. at least three different groups or categories).
one-way ANOVA
Use this test to analysis to describe the relationships between a set of independent variables and the dependent variable. This test analysis produces a this test equation where the coefficients represent the relationship betwee between each independent variable and the dependent variable. You can also use the equation to make predictions.
Regression
