Tools

Statistical calculators

Statistics is a very important discipline in science due to the occurrence of variation. Variation is seen in virtually all our observations: two consecutive spins of a roulette wheel will seldom be identical. But variation can also clearly be seen in biology: the differences in length among individuals of the same age, the differences in blood pressure of a selected group of people at a certain time, and the response of patients (and healthy people) to a new drug. It is therefore imperative that scientific findings, such as "the new drug works better than the old drug", are tested for statistical significance and are not due to chance. In-Silico offers several different online applications to determine the statistical significance of your observations.

ANOVA

ANOVA

The one-way Analysis of Variance (ANOVA) is a statistical technique used to compare means of two or more groups. The ANOVA tests whether the populations of the different groups have the same mean values.

Chi-square test

Chi-square test

Chi-square test is a statistical significance test used in the analysis of categorical data where sample sizes are big. This tool can be used for single or multiple M x N contingency tables.

Fisher's exact test

Fisher's exact test

Fisher's exact test is a statistical significance test used in the analysis of categorical data where sample sizes are small. This tool can be used for single or multiple 2x2, 2x3, 2x4, 3x2, 3x3, and 4x2 contingency tables.

Lilliefors test

Lilliefors test

The Lilliefors test for normality calculates the probability whether the a sample comes from a normally distributed population.

Survival analysis

Survival analysis

The analysis of survival data can be performed using the Kaplan-Meier estimate. In addition, to calculate the difference between survival of two samples, in clinical trails for example, the logrank test can be applied.

F-test

F-test

To test whether the variance of two samples are equal, the analysis of variance (F-test) can be employed. In-Silico offers single sample test of variance and the two-sample F-test of variance to test your hypothesis.

T-test

T-test

The T-test calculator returns the probability whether two samples are from the same two underlying populations by following Student's t distribution. This tool can be used for one- and two-sample T-tests or for the transformation of the T-score to p-value.

Z-test

Z-test

The Z-test calculator returns the likeliness that an observed sample mean is different from a given (hypothesized) population mean. This tool can be used for one- or two-sample means or proportional Z-test or for a Z-score transformation to p-value.