Prism Helper-Advanced Prism Guidance

Example

Assistance in selecting the right test for comparing two groups under non-normal distribution conditions.

Scenario

A biomedical researcher has data from two independent groups to compare but is unsure whether to use a t-test or a non-parametric test due to the non-normal distribution of data. Prism Helper can explain the implications of the data's distribution for test selection and guide the user through setting up and interpreting a Mann-Whitney test in Prism.

Example

Helping users understand the output from nonlinear regression models, including the interpretation of fit parameters and their confidence intervals.

Scenario

A pharmacologist is analyzing dose-response curves to determine the concentration of a drug that produces a 50% response (EC50). They need assistance in setting up the curve fitting in Prism, selecting the appropriate model, and interpreting the results to ensure accurate and reliable conclusions. Prism Helper can guide the user through model selection, fitting the curve, and critically evaluating the goodness of fit and parameter estimates.

Example

Assisting in the creation of publication-quality graphs.

Scenario

An environmental scientist wants to visualize the impact of pollution on plant growth. They need to represent complex datasets in a clear and effective manner for publication. Prism Helper can advise on choosing the right type of graph, adjusting aesthetic elements like colors and labels, and optimizing data presentation for clarity and impact.