# Quick Answer: What If T Test Is Not Significant?

## What is significance level in t-test?

In statistical tests, statistical significance is determined by citing an alpha level, or the probability of rejecting the null hypothesis when the null hypothesis is true.

For this example, alpha, or significance level, is set to 0.05 (5%).

The formula for the t-test is as follows..

## What does it mean if at test is not significant?

This means that the results are considered to be â€žstatistically non-significantâ€ź 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 is the meaning of not significant?

nonsignificant: not significant: such as. a : insignificant. b : meaningless. c : having or yielding a value lying within limits between which variation is attributed to chance a nonsignificant statistical test.

## When a researcher reports that the result is statistically significant What does this mean?

This means that a â€śstatistically significantâ€ť finding is one in which it is likely the finding is real, reliable, and not due to chance. To evaluate whether a finding is statistically significant, researchers engage in a process known as null hypothesis significance testing.

## What does P value stand for?

What Is P-Value? In statistics, the p-value is the probability of obtaining results at least as extreme as the observed results of a statistical hypothesis test, assuming that the null hypothesis is correct. … A smaller p-value means that there is stronger evidence in favor of the alternative hypothesis.

## What do t tests do?

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. … A t-test looks at the t-statistic, the t-distribution values, and the degrees of freedom to determine the statistical significance.

## How do you know if there is a significant difference?

Start by looking at the left side of your degrees of freedom and find your variance. Then, go upward to see the p-values. Compare the p-value to the significance level or rather, the alpha. Remember that a p-value less than 0.05 is considered statistically significant.

## What does it mean if the t test shows that the results are not statistically significant quizlet?

If p is higher than 0.05, this means that your results are not statistically significant – the likelihood of getting the same result again if the relationship between the two variables is zero is actually pretty high.

## What does P value 0.000 mean?

null hypothesis is trueThe level of statistical significance is expressed as a p-value between 0 and 1. Some statistical software like SPSS sometimes gives p value . 000 which is impossible and must be taken as p< . 001, i.e null hypothesis is rejected (test is statistically significant). ... P value 0.000 means the null hypothesis is true.

## What is a non significant p value?

If the p-value is less than 0.05, we reject the null hypothesis that there’s no difference between the means and conclude that a significant difference does exist. If the p-value is larger than 0.05, we cannot conclude that a significant difference exists. … Over 0.05, not significant.

## What do you do if results are not statistically significant?

A Post Hoc Power Analysis Can Sometimes Help If the result is not statistically significant, adequate sample size and power increase the likelihood that the study can still contribute to the body of knowledge, because a well-designed study offers respectable evidence that a clinically important effect is absent.

## What does the P value tell you?

The p-value, or probability value, tells you how likely it is that your data could have occurred under the null hypothesis. … The p-value tells you how often you would expect to see a test statistic as extreme or more extreme than the one calculated by your statistical test if the null hypothesis of that test was true.

## What does P .05 mean?

Test your knowledge: Which of the following is true? P > 0.05 is the probability that the null hypothesis is true. … A statistically significant test result (P â‰¤ 0.05) means that the test hypothesis is false or should be rejected. A P value greater than 0.05 means that no effect was observed.

## What does an Anova test tell you?

The one-way analysis of variance (ANOVA) is used to determine whether there are any statistically significant differences between the means of three or more independent (unrelated) groups.

## What does it mean by 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: â€śall possibilities remain.â€ť In other words, failure to find a significant difference means …

## What is difference between significant and insignificant?

As adjectives the difference between insignificant and significant. is that insignificant is not significant; not important, consequential, or having a noticeable effect while significant is signifying something; carrying meaning.

## What is difference between significant and significance?

As nouns the difference between significance and significant is that significance is the extent to which something matters; importance while significant is that which has significance; a sign; a token; a symbol.

## When P value is greater than alpha We quizlet?

If the p-value is greater than alpha (p , . 05), then we fail to reject the null hypothesis, and we say the result is statistically nonsignificant. The assumption that the observed data reflect only what would be expected under the sampling distribution is called the null hypothesis, symbolized as H0.

## How do you know if a t test is significant?

Compare the P-value to the Î± significance level stated earlier. If it is less than Î±, reject the null hypothesis. If the result is greater than Î±, fail to reject the null hypothesis. If you reject the null hypothesis, this implies that your alternative hypothesis is correct, and that the data is significant.

## What are non-significant results?

When the probability does not meet that condition, the program result is null, i.e. there is no statistically significant difference between the treatment and control groups. …

## Is 0.05 significant or not?

A p-value less than 0.05 (typically â‰¤ 0.05) is statistically significant. … A p-value higher than 0.05 (> 0.05) is not statistically significant and indicates strong evidence for the null hypothesis. This means we retain the null hypothesis and reject the alternative hypothesis.