The average value for t- statistics is 0 if null hypothesis is true.
What is a t – statistics and null hypothesis ?
The t-statistic, which is used in statistics, measures how far a parameter's estimated value deviates from its hypothesized value relative to its standard error.
Through the Student's t-test, it is utilized in hypothesis testing. In a t-test, the t-statistic is used to decide whether to accept or reject the null hypothesis.
It is quite comparable to the z-score, but when the data is small or the standard deviation is unknown, the t-statistic is employed instead.
The default assumption, or null hypothesis, is that the quantity being measured is zero (null). The quantity to be assessed is often the difference between two circumstances.
Trying to determine, for instance, whether there is conclusive evidence that an impact has happened or that samples come from several batches
The t-test yields a t-value of 0 if the sample data precisely match the null hypothesis. The value of the t-value rises as the sample data diverge more and more from the null hypothesis.
Alpha decay will produce a daughter nucleus with more protons and beta decay will produce a daughter nucleus with fewer protons than the parent nucleus has.
