Search Results

Prism computes the geometric mean by computing the logarithm of all values, then calculating the mean of the logarithms, and finally taking the antilog.

https://www.graphpad.com/guides/prism/latest/statistics/

The coefficient of variation (CV), also known as “relative variability”, equals the standard deviation divided by the mean. It can be expressed either as a ...

https://www.graphpad.com/guides/prism/latest/statistics/

A logarithmic axis can only plot positive values. There simply is no way to put negative values or zero on a logarithmic axis.

https://www.graphpad.com/guides/prism/latest/user-guide/

Straight lines on graphs with logarithmic axes The nonlinear regression analysis fits the data, not the graph. Since Prism lets you choose logarithmic axes, ...

https://www.graphpad.com/guides/prism/latest/curve-fitting/

Prism provides a number of important options for the multiple t test (and nonparametric tests) analysis, allowing you to choose from one of numerous different ...

https://www.graphpad.com/guides/prism/latest/statistics/

A graph showing mean and SD error bar is less informative than any of the other alternatives, but takes no less space and is no easier to interpret.

GraphPad FAQs

The Hill slope describes the slope of the sigmoidal curve between these two plateaus. The EC50 (or IC50) refer to a concentration of agonist (or antagonist) ...

https://www.graphpad.com/guides/prism/latest/curve-fitting/

Prism 9 introduces a number of great improvements to the Multiple Variables data table. Explore larger data sets using a standard structure.

https://www.graphpad.com/updates/

One-way ANOVA compares the means of three or more unmatched groups. This checklist is specific for performing a one-way ANOVA with no repeated measures.

https://www.graphpad.com/guides/prism/latest/statistics/

Many log(dose) response curves follow the familiar symmetrical sigmoidal shape. The goal is to determine the EC50 of the agonist - the concentration that ...

https://www.graphpad.com/guides/prism/latest/curve-fitting/