This is called the p-value. But first, let’s quickly redo this whole process with a bigger sample size. A simple calculator that generates a P Value from a z score. A very small p-value, which is lesser than the level of significance, indicates that you reject the null hypothesis. P Value from Z Score Calculator. Is it high? The significance level, or P-value, is calculated using the t-test, with the value t calculated as: The P-value is the area of the t distribution with n 1 + n 2 − 2 degrees of freedom, that falls outside ± t (see Values of the t distribution table). Use the applet to calculate the P-value for your final test of significance, considering the possibilities that your sample mean comes out to 12, 13, or 14, and considering the two possible alternative hypotheses µ < 15 and µ ≠ 15. F Test Calculator T Test Calculator Z Test Calculator Chi-Square Test Calculator Fill the P-values into the table below. There are many online tools to calculate the p-value. Performing them with no tools is a lot more likely to expose errors in an already vulnerable process. It is generally 0.05. The statistically significant result is attained when a p-value is less than the significance level. Statistical Significance Calculators do calculate statistical significance far more accurately. The level of significance (α) is a pre-defined threshold set by the researcher. Another commonly used significance level is 0.01. The P value in statistics is part of hypothesis testing. If you know the statistic value, choose the relevant distribution otherwise use one for the above test buttons. The statistical significance is calculated as simple as 1 – p, so in this case: 68.16%. It is represented using the symbol (α), alpha. Is it low? Hmm… 68.16%. The sample correlation $$r$$ is a statistic that estimates the population correlation, $$\rho$$. A lot of people are going to do the calculations following this method rather than by hand. On typical statistical test consists of assessing whether or not the correlation coefficient is significantly different from zero. I’ll get back to that soon. More About Significance of the Correlation Coefficient Significance Calculator. The p-value, short for probability value, is an important concept in statistical hypothesis testing.. Its use in hypothesis testing is common in many fields like finance, physics, economics, psychology, and many others.. Knowing how to compute the probability value using Excel is a great time-saver. This is very easy: just stick your Z score in the box marked Z score, select your significance level and whether you're testing a one or two-tailed hypothesis (if you're not … There are tables, spreadsheet programs, and statistical software to help calculate the p-value. 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