Home » How to Convert Your P-Value to a T-Score?

How to Convert Your P-Value to a T-Score?

by deborahjlinares
T Score

The p-value has many uses in business, the most important being to assess the validity of your data and the accuracy of your results and conclusions based on those results. But what does that mean exactly, and how do you calculate a p-value in the first place? To answer these questions, we’ll show you how to convert your p-value to a T score, making it easier to understand and present the significance of your results. First, let’s look at an example of this process from start to finish to understand better how to convert your p-value to a T score.

What is a P-Value?

A p-value is the probability of observing a result at least as extreme as the one observed, assuming that the null hypothesis is true (i.e., assuming there is no real effect). The smaller the p-value, the less likely it is that this result was due to chance. There are different ways to think about a small or large p-value. If you assume that your study has 100% statistical power, then your p-value must be less than 0.05 for it to be considered statistically significant.

What is A T score?

A t score is a statistical measure of the difference between two means. To calculate the t score, you need the two groups’ mean and standard deviation (s). The t score is calculated by dividing the difference in means by dividing it by the standard deviation. For example, if one group has an average height of 5’8 and another group has an average height of 6’2, their difference in means is 3 inches, and their standard deviation would be 2 inches. If we divide our difference in means by our standard deviation, we get .5. In this case, our t score would be 1.5 with p = .5 (1/2).

How to Convert Your P-Value to a T-Score

The INVT Calculator can help you convert your p-value to a t-score. It is free, easy, and quick. Enter your p-value into the calculator and click the Convert button to get your t score. The calculator will also tell you the confidence interval of your t score, along with an interpretation of that interval. For example, if you enter a p (or significance level) of .05, the calculator will tell you that there’s about a 95% chance that your data is not due to chance.

Is the p-value the same as the T score?

No, the p-value is not the same as the T score. A p-value is used to determine the statistical significance of an observed effect. To calculate the t statistic value, you need to find your degrees of freedom and use the following formula: P = b − t, where b is your degrees of freedom and t is the number of samples in each group. The t statistic value can be converted into a z score using this formula: λ = (1/√(1−2*√B))*(z)^2 where ε is your alpha level and Σ corresponds to summing up all numbers in that row.

What is the relationship between P and T?

In statistics, the relationship between p and t is as follows: t=p/sqrt(N), where N is the sample size (e.g., number of observations) in your data set. The INVT calculator can help you calculate this value. On the website, enter 1 for the population means and 10 for the sample standard deviation.

It will tell you that t=0.095, which means that your P value equals 9.5%. Now that you know the result of converting your P value to T-score try using it on some more calculations with the INVT calculator!


To convert your p-value to a t-score, you first need to find the degrees of freedom for your statistical test. The degree of freedom is defined as the number of values that are free to vary in calculating the significance level. For example, if you had 10 people in your study and 3 variables, then there would be degrees of freedom equal to 7 (10 – 3). Next, find the critical value for alpha (a) from the appropriate table and subtract 1. Finally, divide by 2 and add 1. This will give you your t score with one degree of freedom (t1). If you have more than one degree of freedom, take the square root of your t1 and multiply it by two times the number of degrees of freedom. 

Related Posts

Leave a Comment