GraphPad Prism 10.3.1.509 Patch & Serial Key Free Download

 

Description:

GraphPad Prism 10.3.1.509 Patch can be the preferred analysis and charting solution that is specifically designed for scientific research. Join the world’s leading scientists and learn how to use Prism to save time, select better analyses, create elegant graphs, and present research results. GraphPad Prism Full Version is a powerful statistical and scientific graphing software combining data organization with understandable statistics, comprehensive curve fitting, and scientific graphing.

GraphPad Prism 10.3.1.509 License Key provides understandable statistical help when you need it. Press “Learn” from any data analysis dialog and Prism’s online documentation will explain the principles of the analysis to help you make appropriate choices. Once you’ve made your choices, Prism presents the results on organized, easy-to-follow tables. The Prism documentation goes beyond anything you would expect. More than half of it is devoted to thorough explanations of basic statistics and nonlinear curve fitting, to teach you what you need to know to analyze your data appropriately.

GraphPad Prism 10.3.1.509 Features Highlights:

Comprehensive Analysis and Powerful Statistics, Simplified

• Organize Your Data Effectively

GraphPad Prism 10.3.1.509 Crack is specially formatted for the analysis you want to perform, including quantitative and categorical data analysis. This makes it easy to enter data correctly, select the right analysis, and create stunning graphs.

• Perform The Right Analysis

Avoid statistical jargon. In plain language, Prism presents an extensive library of analyses from general to highly specific: t-tests, one-, two- and three-way ANOVA, linear and non-linear regression, dose-response curves, binary logistic regression, survival analysis, and a principal component. analysis and more. Each analysis has a checklist to help you understand the necessary statistical assumptions and confirm that you have selected the appropriate test.

• Get Actionable Help As You Go

Reduce the complexity of statistics. Prism online help exceeds your expectations. At almost every step, you get access to thousands of pages of Prism user manuals. Learn with Prism Academy video tutorials, tutorials, and learning materials. Browse the portfolio of charts and learn how to create different types of charts. Training datasets will also help you understand why you should perform certain analyzes and how to interpret your results.

Work Smarter, Not Harder

• One-Click Regression Analysis

No other program makes curve fitting easier than Prism. Select an equation and Prism does the rest—fit the curve, display a table of results and function parameters, draw the curve on the graph, and interpolate unknown values.

• Focus on Your Research, Not Your Software

GraphPad Prism 10.3.1.509 Serial Key handles the encoding for you. Graphs and results are automatically updated in real-time. Any changes to data and analyses—direct data entry, omission of erroneous data, correction of typographical errors, or change in analysis selection—are instantly reflected in results, graphs, and layouts.

• Automate Your Work Without Programming

Automatically add multiple pairwise comparisons to your analysis with a single click. To adjust the parameters of these lines and stars, simply click the button on the toolbar again. Make adjustments to the data or analysis and the results displayed on the graph will update automatically.

The Fastest Way to Elegantly Graph and Share Your Work

• Countless Ways to Customize Your Graphs

Explore countless ways to represent a single set of data. Choose a visualization style that most clearly conveys the story behind your data. Simply select a graph type and then customize it in real time by changing the data layout, data point style, labels, fonts, colors, and more. The customization options are endless.

• Explore Your Data

Focus your efforts on analyzing the most important data. Customize the way data relationships are represented to efficiently explore large datasets. Did you notice something interesting? Highlight one data point to examine the corresponding properties. With Prisms’ robust data processing capabilities, you can save time and ensure your analysis is based on clean, well-structured data.

• Export Publication-Quality Graphs With One Click

Reduce posting time. GraphPad Prism 10.3.1.509 Keygen allows you to customize the export (file type, resolution, transparency, dimensions, RGB/CMYK color space) according to the requirements of the magazines. Set the default settings to save time.

• Collaboration. Simplified

Avoid those confusing email threads and use Prism Cloud to share, view and collaborate on your Prism projects. Protect the interoperability and reusability of your results with the Prism Open Access File Format. Using industry-standard formats (CSV, PNG, JSON, etc.), you can be sure that your designs can be used outside of Prism to open up new possibilities for your workflows and data integration.

More Effective and Efficient Research

• Greater Collaboration

Use Prism Cloud to avoid those messy email streams. Keep all your discussions in one place with secure control over who has access to your work.

• A More Open Access File Format

By using industry-standard formats (CSV, PNG, JSON, etc.), you can ensure your projects can be used outside of Prism and open up new possibilities for your workflows and data integration.

• Expanded Data Table Capabilities

You can open as many windows as you like and the data is in 2048 columns with 512 sub-columns each. An extended analysis constants dialog allows you to reference additional results for all types of analyses.

• Intelligent Data Wrangling

A new set of tools for preparing data for analysis. Covering data tables with multiple variables, analysis selection and transformation, and extraction and modification functionality.

• Hook Constant Dialog Upgrade

A handy way to establish links between different elements in Prism. The new easy-to-navigate tree structure now spans the entire Prism analysis library.

Featuring Eight Kinds of Data Tables

• XY tables

Used when each data point is defined by a single X and Y value. These types of data are often suitable for linear or non-linear regression models.

• Column tables

Used for data grouped by a single grouping variable (for example, “Treatment vs. control” or “Women vs. men”). Often analyzed using t-tests and one-way analysis of variance.

• Grouped tables

Used for data grouped by two grouping variables (eg, control woman versus treatment for women versus control group of men versus treatment for men). Often analyzed using a two-way analysis of variance.

• Contingency tables

Used for count data grouped by two grouping variables (treatment or control and positive or negative result). Suitable for chi-square analysis and Fisher’s exact test.

• Survival tables

Used to perform a Kaplan-Meier survival analysis. Each row represents a subject or person with an elapsed survival time and outcome.

• Parts of whole tables

Used when it makes sense to ask, “What percentage of the total is each value in the table?”. Used to calculate fractions and build pie charts.

• Multiple variables tables

Used when each row of data is a separate observation and each column is a different variable and supports text values. Can be analyzed directly with multiple linear regression, Cox regression, and others, or restructured into one of the other Prism table types.

• Nested tables

Used when data is organized into hierarchical groups. Analyzed using nested t-tests or nested one-way ANOVA.

More Sophisticated Statistical Analyses

• Perform repeated measures ANOVA – even with missing data

GraphPad Prism 10.3.1.509 Activator will now automatically fit the mixed effects model to complete this analysis.

• Perform simple and multiple logistic regression

Fitting a model to a binary outcome (yes/no, win/lose, pass/fail) based on a single predictor variable (simple logistic regression) or multiple predictor variables (multiple logistic regression)

• Principal Component Analysis (PCA)

Calculate and select the principal components that describe the largest variance in your data. Choose from selection methods, including parallel analysis with Monte Carlo simulation, eigenvalue threshold, variance proportion threshold, and more.

• Multiple t-test (and nonparametric) analyses

Run multiple independent comparison tests with two samples at the same time. Choose from parametric/non-parametric tests and indicate if the data is unpaired/paired.

• Analyze categorical variables with text in Multiple Linear and Multiple Logistic Regression

No coding is required! Prism automatically encodes categorical variables and performs the analysis. Provide a link and organize all levels of categorical variables in the model for clear and readable results.

• Interpolation from multiple linear and multiple logistic regression

Use the specified model to predict the values ​​of the dependent variable based on the data in the data table or use the theoretical values ​​specified in the analysis.

GraphPad Prism 10.3.1.509 Key Features:

Statistical Comparisons

• Paired or unpaired t-tests. Reports P values ​​and confidence intervals.
• Automatically plot volcano (difference vs. P value) based on multiple t-test analysis.
• Non-parametric Mann-Whitney test, including the confidence interval of the median difference.
• Kolmogorov-Smirnov test for comparing two groups.
• Wilcoxon test with median confidence interval.
• Run multiple t-tests at once using false discovery rates (or Bonferroni multiple comparisons) to select which comparisons are discoveries for further investigation.
• Routine or repeated measures ANOVA followed by Tukey, Newman-Keuls, Dunnett, Bonferroni, or Holm-Sidak multiple comparison tests, post-test for trend, or Fisher’s least-value test.
• One-way analysis of variance without the assumption of populations with equal standard deviations using Brown-Forsyth and Welch analysis of variance followed by appropriate comparison tests (Games-Howell, Tamhane T2, Dunnett T3)
• Many tests of multiple comparisons come with confidence intervals and multiplicity-corrected P-values.
• Toeplitz-Geisser correction, so repeated measures of one-, two-, and three-way ANOVA should not assume sphericity. When this is selected, multiple comparison tests also do not assume sphericity.
• Nonparametric one-way Kruskal-Wallis or Friedman analysis of variance with Dunn’s posttest.
• Fisher’s exact test or chi-square test. Calculate the relative risk and odds ratio with confidence intervals.
• Two-tailed analysis of variance, even with missing values ​​in some posttests.
• Two-way analysis of variance with repeated measurements of one or both factors. Multiple comparisons of Tukey, Newman-Keuls, Dunnett, Bonferroni, Holm-Sidak, or Fisher’s LSD testing basic and simple effects.
• Three-way analysis of variance (limited to two levels on two factors and any number of levels on the third).
• Analysis of repeated measures data (one-, two- and three-tailed) using a mixed effects model (similar to repeated measures ANOVA, but with the ability to handle missing data).
• Compare data from nested data tables using a nested t-test or nested one-way ANOVA (using a mixed-effects model).

Nonlinear Regression

• Choose from one of our 105 built-in equations or enter your own. Now includes a family of growth equations: exponential growth, exponential plateau, Gompertz, logistic, and beta (growth then decline).
• Enter differential or implicit equations.
• Enter different equations for different datasets.
• Global non-linear regression – common parameters between datasets.
• Robust non-linear regression.
• Automatic identification or elimination of outliers.
• Compare models using the complementary sum of squares F-test, or AICc.
• Compare parameters between datasets.
• Apply restrictions.
• Weigh the scores differently with several methods and evaluate how well your weighting method worked.
• Accept automatic starting estimates or enter your own.
• Automatically display the curve in the specified range of X values.
• Determine the fit accuracy with SE or CI parameters. Confidence intervals can be symmetrical (traditional) or asymmetric (which is more accurate).
• Quantify inaccuracy symmetry with Hogaard’s asymmetry.
• Plot confidence intervals or prediction ranges.
• Check the normality of the residuals.
• Runs or repeats a model validation.
• Report the covariance matrix or set of dependencies.
• Easily interpolate points from a best-fit curve.
• Match the straight lines to the two datasets and determine the point of intersection and both slopes.

Survival Analysis

• Kaplan-Meier survival analysis. Perform a non-parametric survival analysis for different groups and compare the calculated survival curves for each group with a log-rank test (including a trend test).
• Regression of proportional Cox hazards. Perform a semiparametric survival analysis that allows you to include additional continuous or categorical predictor variables (covariates). Automatically generate survival curve plots for any set of predictor variable values.

Principal Component Analysis

• Selection of components using parallel analysis (Monte Carlo simulation), Kaiser criterion (eigenvalue threshold), variance proportion threshold, etc.
• Automatically generated scree charts, loading charts, dual charts, and more.
• Use the results in subsequent applications such as Principal Component Regression.

Graph of multiple variables

• Specify the variables that define the coordinates of the axes, color, and size.
• Create bubble charts.

Column Statistics

• Descriptive statistics calculation: minimum, maximum, quartiles, mean, SD, SEM, CI, CV, skewness, kurtosis.
• Mean or geometric mean with confidence intervals.
• Frequency distributions (bin to histogram), including cumulative histograms
• Normality testing by four methods (new: Anderson-Darling).
• Test for lognormality and probability of sampling from a normal (Gaussian) distribution versus a lognormal distribution
• Create a QQ plot as part of a normality test.
• One sample t-test or Wilcoxon test to compare the column mean (or median) to the theoretical value.
• Determine outliers using the Grubbs method or the ROUT method.
• Analyze a stack of P values ​​using Bonferroni’s multiple comparisons or FDR approach to identify “significant” findings or findings.

Simple Linear Regression and Correlation

• Compute the slope and intercept with confidence intervals.
• Draw a regression line through the specified point.
• Suitable for reproducing Y values ​​or average Y values.
• Check the deviation from linearity with a run test.
• Calculate and display residuals in four different ways (including a QQ plot).
• Compare the slopes and intersection points of two or more regression lines.
• Interpolate new points along the standard curve.
• Pearson or Spearman correlation (non-parametric).

Generalized Linear Models (GLMs)

• Create models that relate multiple independent variables to a single dependent variable using the new multivariable datasheet.
• Multiple linear regression (when Y is continuous).
• Poisson regression (when Y is considered; 0, 1, 2, …).
• Logistic regression (when Y is binary; yes/no, pass/fail, etc.).
• Clinical (diagnostic) laboratory statistics
• Blend-Altman plots.
• Receiver Operator Characteristics (ROC) curves.
• Deming regression (linear regression type II).

Simulators

• Simulation of XY, Column, or Contingency tables.
• Repeat the analysis of the simulated data as a Monte Carlo analysis.
• The plot of functions from the equations you choose or enter and the parameter values ​​you choose.
• Other Calculations
• The area under the curve with a confidence interval.
• Data conversion.
• normalize.
• Define outliers.
• Normality tests.
• Transpose tables.
• Subtract the baseline (and concatenate the columns).
• Calculate each value as part of its row, column, or total.

What’s new in GraphPad Prism 10.3.1?

(Released on 28-08-2024)

Analysis Bug Fixes:

• Fixed an issue in which Prism would crash while performing an Unpaired t-test from a grouped data table with error values and data that contained several data sets.
• Fixed an issue in which blank results were incorrectly displayed in the Outliers tab of the Nonlinear Regression analysis after adding empty data sets to the data table.

Graphing Bug Fixes:

• (Mac) Fixed the issue in which the area fill of XY graphs appeared corrupted if some points were out of the Y-axis limits.
• (Mac) Fixed the issue of unexpected data points appearing on interleaved bar graphs for which symbols were enabled.

Other Bug Fixes:

• Fixed the issue in which it was impossible to open files with undefined parameters for disabled transforms.
• Fixed the “hierarchical clustering” link in the Dendrogram section of the Format Graph dialog.
• (Windows) Fixed the issue in which Prism would crash while performing the undo action to revert the magic operation for a graph with CLD labels and a non-default color scheme.
• (Windows) Fixed the issue in which Prism would crash while typing text over the existing text of floating notes.
• (Mac) Fixed the issue in which Prism would crash while switching to the Dendrogram tab of the Format Graph dialog if previously the Dendrogram data object was disabled for the default Dendrogram graph from Hierarchical Clustering and the graph type was changed to Heatmap using the Change Graph Type dialog.
• (Mac) Fixed the issue in which Prism would crash while changing the orientation of a dendrogram created for the hierarchical clustering sample data.

Operating System:

• Windows XP
• Windows Vista
• Windows 7
• Windows 8, 8.1
• Windows 10

Screenshots:

GraphPad Prism 10.3.1.509 with Keygen Full Version Free Download from the links given below

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