PocketStat vs Critical Value Calculator

In this day and age, it is increasingly difficult to separate conjecture from significance. PocketStat is a statistical fact checking tool built to make this discrimination less onerous. Use it to quickly assess statistical claims in manuscripts, seminars, posters, classes, and homework. Do you want to know whether the means of two groups differ from one another? Or if two correlations are differ significantly from each other? Or would you like to estimate the mean of population while only knowing the median? All these questions can be answered with PocketStat. PocketStat also has a number of calculators for everyday statistical tasks. Handy power calculators let you quickly estimate the number of subjects needed for your next study (or determine whether the study you’re evaluating has enough subjects). Use the app to compute the chi-square statistic for a 2 × 2 contingency table. You can also calculate single-sample t-tests. Upgrade to PocketStat Premium and compute chi-squares in matrices as large as 6 × 10, and perform two-sample t-tests (independent and correlated). Sadly, PocketStat can’t resolve truth from…um…alternative truths in all circumstances, but it’s a start. ************IMPORTANT CAVEAT****************** PocketStat does not use statistical libraries, so "p" values are computed by closed form equations. Although these "p" values are quite close to the actual value, they are meant only to be used as estimates, not for publication.

Perform hypothesis testing through our efficient critical value calculator. Critical value calculator, a hands-on tool for statisticians, calculates t-value and z-value with a click. Single t-value calculator and z-value calculator are available for use yet, they do not suffice the needs of students. However, in this critical score calculator you can calculate both critical values. Now you can get rid of tiresome practice of looking through hundreds of t- and z-value tables because critical value calculator calculates them in an instant. How to perform calculations: Calculate t-value 1. Specify the significance level in the given box. 2. Select degrees of freedom. 3. Calculate t-value Calculate z-value 1. Enter the significance level in the input box. 2. calculate p-value You can reset the critical value calculator by pressing “reset” button. Basic definitions: 1. Critical value: It is the cut-off value of the graph generated by the test static and shows the region where test static does not lie. Critical value depends upon the significance level. T tells whether to accept of discard null-hypothesis. 2. Significance level: Significance level or statistical significance determines that the difference in population cannot be only associated with chance. 3. Null hypothesis: A hypothesis that describes no difference between two data. And if any difference is seen it appears only by chance. It is abbreviated as (Ho). 4. T-value: It is the calculated difference in the graph relative to the data. 5. Z-value: It is a cut-off point area under the standard distribution of data.