The greater the magnitude of T, the greater the evidence against the null hypothesis . This means there is greater evidence that there is a significant difference.
What does it mean when t test is negative?
A negative t value only means . If you reverse order the values in the calculator the T value will be positive. For instance if your data is time related, Like temperature of January Vs May.
Is a high t-value good?
Higher values of the t-value, also called t-score, indicate that a large difference exists between the two sample sets . The smaller the t-value, the more similarity exists between the two sample sets. A large t-score indicates that the groups are different. A small t-score indicates that the groups are similar.
How do you interpret t test results?
The basic format for reporting the result of a t-test is the same in each case (the color red means you substitute in the appropriate value from your study): t (degress of freedom) = the t statistic, p = p value . It's the context you provide when reporting the result that tells the reader which type of t-test was used.
What does it mean to have a high t statistic?
The Estimated Standard Error and the t Statistic (cont.) A large value for t (a large ratio) indicates that the obtained difference between the data and the hypothesis is greater than would be expected if the treatment has no effect .
What does t-value tell you?
The t-value measures the size of the difference relative to the variation in your sample data . Put another way, T is simply the calculated difference represented in units of standard error. The greater the magnitude of T, the greater the evidence against the null hypothesis.
Can the p-value be greater than 1?
Explanation: A p-value tells you the probability of having a result that is equal to or greater than the result you achieved under your specific hypothesis. It is a probability and, as a probability, it ranges from 0-1.0 and cannot exceed one .
What is the maximum T value?
The t-test can be applied to any size ( even n>30 also ). The decision depends on the t-statistic and its degrees of freedom (function of sample size). So you need not to worry about the sample size to make a decision, you can make a decision at any df.
What is considered a big T value?
regarding t-value, The greater the magnitude of T (it can be either positive or negative), the greater the evidence against the null hypothesis . The closer T is to 0, the more likely there isn't a significant difference. more than 1 shows that the null hypothesis is rejected and the difference is significant.
What does a high p-value mean?
High p-values indicate that your evidence is not strong enough to suggest an effect exists in the population . An effect might exist but it's possible that the effect size is too small, the sample size is too small, or there is too much variability for the hypothesis test to detect it.
What does p-value tell you?
A p-value is a measure of the probability that an observed difference could have occurred just by random chance . The lower the p-value, the greater the statistical significance of the observed difference. P-value can be used as an alternative to or in addition to pre-selected confidence levels for hypothesis testing.
When T value is significant?
So if your sample size is big enough you can say that a t value is significant if the absolute t value is higher or equal to 1.96 , meaning |t|≥1.96.
How do you know if p-value is significant?
- A p-value less than 0.05 (typically ≤ 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.
What is the T-value and p-value?
Every t-value has a p-value to go with it . A p-value is the probability that the results from your sample data occurred by chance. P-values are from 0% to 100%. They are usually written as a decimal.
What if p-value is less than alpha?
Using P values and Significance Levels Together
If your P value is less than or equal to your alpha level, reject the null hypothesis . The P value results are consistent with our graphical representation. The P value of 0.03112 is significant at the alpha level of 0.05 but not 0.01.
What does T Stat tell you in regression?
The t statistic is the coefficient divided by its standard error . ... It can be thought of as a measure of the precision with which the regression coefficient is measured. If a coefficient is large compared to its standard error, then it is probably different from 0.
