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What does a non-significant t-test mean?
This means that the results are considered to be „statistically non-significant‟ if the analysis shows that differences as large as (or larger than) the observed difference would be expected to occur by chance more than one out of twenty times (p > 0.05).
What does it mean if there is no significant difference?
Perhaps the two groups overlap too much, or there just aren’t enough people in the two groups to establish a significant difference; when the researcher fails to find a significant difference, only one conclusion is possible: “all possibilities remain.” In other words, failure to find a significant difference means …
What is significant difference in t-test?
The T-test is a test of a statistical significant difference between two groups. A “significant difference” means that the results that are seen are most likely not due to chance or sampling error.
What does it mean if chi square is not significant?
Among statisticians a chi square of . 05 is a conventionally accepted threshold of statistical significance; values of less than . NS indicates that the chi-square is not significant using the . 05 threshold.
What does independent sample t test stand for?
The Independent Samples T-Test is also called the Independent Sample T-Test, Independent T-Test, Two Sample T-Test, Unpaired Samples T-Test, and Student’s T-Test. Every statistical method has assumptions. Assumptions mean that your data must satisfy certain properties in order for statistical method results to be accurate.
Do you have to have 2 independent groups for a t test?
Your 2 groups should be independent (not related to each other) and you should have enough data (more than 5 values in each group). The Independent Samples T-Test is also called the Independent Sample T-Test, Independent T-Test, Two Sample T-Test, Unpaired Samples T-Test, and Student’s T-Test.
When to use the null hypothesis in the independent t-test?
The null hypothesis for the independent t-test is that the population means from the two unrelated groups are equal: H 0: u 1 = u 2. In most cases, we are looking to see if we can show that we can reject the null hypothesis and accept the alternative hypothesis, which is that the population means are not equal:
What do you need to know about the t-test?
The t-test assumes that the variance in each of the groups is approximately equal. Look at the column labeled “Sig.” under the heading “Levene’s Test for Equality of Variances”.