The independent samples t-test is a parametric test, meaning it relies on certain assumptions about the data. (独立样本 t 检验是一种参数检验,这意味着它依赖于对数据的某些假设。) In psychology, the independent samples t-test is often used to compare the effects of different interventions on beh...
Assumptions for the Independent Samples T Test Assumption of Independence:you need two independent, categorical groups that represent yourindependent variable. In the above example of test scores “males” or “females” would be yourindependent variable. ...
In fact, do not be surprised if your data fails one or more of these assumptions since this is fairly typical when working with real-world data rather than textbook examples, which often only show you how to carry out an independent t-test when everything goes well. However, don’t ...
Four assumptions are made while using a t-test: The data collected must follow a continuous or ordinal scale, such as the scores for an IQ test. The data is collected from a randomly selected portion of the total population The data will result in a normal distribution of a bell-shaped ...
In fact, do not be surprised if your data violates one or more of these assumptions. This is not uncommon. However, there are possible solutions to correct such violations (e.g., transforming your data) such that you can still use an independent t-test. Assumptions #4, #5 and #6 are...
independent samples t-test, certain assumptions must be met. An independent samples t-test wasIndependent Sample T Test. Abbott,Martin L. Using statistics in the social and health sciences with SPSS?and Excel? . 2016Kent state university. (2017). Independent Samples t Test. Retrieved from ...
t-Test assumptions Whilet-tests are relatively robust to deviations from assumptions,t-tests do assume that: The data are continuous. The sample data have been randomly sampled from a population. There is homogeneity of variance (i.e., the variability of the data in each group is similar)....
The definition of t-test, different terminologies/ factors involved in conducting t-test like mean, variance, standard deviation, significance level, degree of freedom, t-value, and p-value, assumptions for t-test calculation, different kinds of t-tests, how to do the test for each kind of...
Unfortunately, LS does not estimate the distribution of the errors (the only supposition on the distribution of the errors in LS is that they have common variance, independent on the concentrations [22]; i.e., they are homoscedastic). Further hypotheses and assumptions are required to gather ad...
12.3 ASSUMPTIONS FOR USE OF INDEPENDENT-SAMPLES t TEST Scores for the Y outcome (or dependent) variable should satisfy the following assumptions. 12.3.1 Y Scores Are Quantitative Because we will compute a mean for the Y scores in each group, the scores on the Y outcome variable must be ...