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What does it mean to have independent samples?
independence of observations
Independent samples/groups (i.e., independence of observations) There is no relationship between the subjects in each sample. This means that: Subjects in the first group cannot also be in the second group. No subject in either group can influence subjects in the other group.
What does dependent and independent mean in statistics?
An independent event is an event in which the outcome isn’t affected by another event. A dependent event is affected by the outcome of a second event.
What are independent and dependent samples?
Dependent samples are paired measurements for one set of items. Independent samples are measurements made on two different sets of items. When you conduct a hypothesis test using two random samples, you must choose the type of test based on whether the samples are dependent or independent.
What are t-tests for independent and paired samples?
Two-sample t-tests for a difference in mean involve independent samples (unpaired samples) or paired samples. Paired t-tests are a form of blocking, and have greater power than unpaired tests when the paired units are similar with respect to “noise factors” that are independent of membership in the two groups being compared.
How do you measure an independent variable?
The dependent variable is what is being measured in an experiment or evaluated in a mathematical equation and the independent variables are the inputs to that measurement. In a simple mathematical equation, for example: a = b/c the independent variables, b and c , determine the value of a .
What is independent sample in statistics?
Independent samples are samples that are selected randomly so that its observations do not depend on the values other observations. Many statistical analyses are based on the assumption that samples are independent. Others are designed to assess samples that are not independent.