### Contents - [**Articles**](#resources-articles) - [**Glossary Terms**](#resources-glossary_terms) - [**Discussions**](#resources-discussions) - [**Reports**](#resources-reports) # Statistical Analysis Software Resources ##### Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Statistical Analysis Software Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find [articles](#resources-articles) from our experts, [feature definitions](#resources-glossary_terms), [discussions](#resources-discussions) from users like you, and [reports](#resources-reports) from industry data. [ContentsExpand/Collapse Contents](#) - [**Articles**](#resources-articles) - [**Glossary Terms**](#resources-glossary_terms) - [**Discussions**](#resources-discussions) - [**Reports**](#resources-reports) ## Statistical Analysis Software Articles [![How Descriptive Statistics Helps You Better Understand Data](https://learn.g2.com/hubfs/G2CM_FI373_Learn_Article_Images_%5BDescriptive_Statistics%5D_V1b.png "How Descriptive Statistics Helps You Better Understand Data")](https://www.g2.com/articles/descriptive-statistics) [ ### How Descriptive Statistics Helps You Better Understand Data ](https://www.g2.com/articles/descriptive-statistics) When asked about statistical analysis, people throw around words like numbers and research. [ ![Devyani Mehta](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Devyani Mehta") DM ](https://learn.g2.com/author/devyani-mehta) by Devyani Mehta [![What Is Data Sampling? How to See the Bigger Picture](https://sell.g2.com/hubfs/data%20sampling@2x.png "What Is Data Sampling? How to See the Bigger Picture")](https://www.g2.com/articles/data-sampling) [ ### What Is Data Sampling? How to See the Bigger Picture ](https://www.g2.com/articles/data-sampling) When you need an answer and need it fast, wouldn’t it be nice to ask everyone in the world who could help find an answer? [ ![Mara Calvello](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Mara Calvello") MC ](https://learn.g2.com/author/mara-calvello) by Mara Calvello [![Qualitative vs. Quantitative Data: Which to Use in Research?](https://learn.g2.com/hubfs/Qualitative%20vs%20quantitative%20data.png "Qualitative vs. Quantitative Data: Which to Use in Research?")](https://www.g2.com/articles/qualitative-vs-quantitative-data) [ ### Qualitative vs. Quantitative Data: Which to Use in Research? ](https://www.g2.com/articles/qualitative-vs-quantitative-data) Data analysis is broad, exploratory, and downright complex. [ ![Devin Pickell](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Devin Pickell") DP ](https://learn.g2.com/author/devin-pickell) by Devin Pickell [![Correlation vs. Regression: Key Differences and Similarities](https://learn.g2.com/hubfs/G2CM_FI536_Learn_Article_Images-%5BCorrelation_vs_Regression%5D_V1b.png "Correlation vs. Regression: Key Differences and Similarities")](https://www.g2.com/articles/correlation-vs-regression) [ ### Correlation vs. Regression: Key Differences and Similarities ](https://www.g2.com/articles/correlation-vs-regression) We’ve all heard “correlation doesn’t imply causation,” but what does it really mean? [ ![Mara Calvello](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Mara Calvello") MC ](https://learn.g2.com/author/mara-calvello) by Mara Calvello [![Discrete vs. Continuous Data: What’s the Difference?](https://learn.g2.com/hubfs/discrete%20vs%20continuous%20data.png "Discrete vs. Continuous Data: What’s the Difference?")](https://www.g2.com/articles/discrete-vs-continuous-data) [ ### Discrete vs. Continuous Data: What’s the Difference? ](https://www.g2.com/articles/discrete-vs-continuous-data) Data can be complicated. [ ![G2 Staff](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "G2 Staff") GS ](https://learn.g2.com/author/andrew-zangre) by G2 Staff [![What Is Actuarial Science? Discover Courses, Jobs, and Salary](https://learn.g2.com/hubfs/G2CM_FI868_Learn_Article_Images_%5Bcost_estimator%5D_V1b.png "What Is Actuarial Science? Discover Courses, Jobs, and Salary")](https://www.g2.com/articles/actuarial-science) [ ### What Is Actuarial Science? Discover Courses, Jobs, and Salary ](https://www.g2.com/articles/actuarial-science) If you've always had a knack for mathematics and enjoy applying statistical analysis to solve real-world problems, then a career in actuarial science might be perfect for you.  [ ![Mara Calvello](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Mara Calvello") MC ](https://learn.g2.com/author/mara-calvello) by Mara Calvello [![Null Vs. Alternative Hypothesis](https://learn.g2.com/hubfs/null%20vs%20alternative%20hypothesis.png "Null Vs. Alternative Hypothesis")](https://www.g2.com/articles/null-vs-alternative-hypothesis) [ ### Null Vs. Alternative Hypothesis ](https://www.g2.com/articles/null-vs-alternative-hypothesis) Null and alternative hypotheses are assumptions researchers use during statistical analysis to understand relationships between two or more independent and dependent variables or phenomena. Analysts, researchers, and statisticians use statistical analysis software to perform complex null and hypothesis analysis testing.   [ ![Sudipto Paul](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Sudipto Paul") SP ](https://learn.g2.com/author/sudipto-paul) by Sudipto Paul [![How Statistical Analysis Methods Take Data to a New Level in 2023](https://sell.g2.com/hubfs/types%20of%20stats@2x.png "How Statistical Analysis Methods Take Data to a New Level in 2023")](https://www.g2.com/articles/statistical-analysis-methods) [ ### How Statistical Analysis Methods Take Data to a New Level in 2023 ](https://www.g2.com/articles/statistical-analysis-methods) If your business isn’t taking a close look at its data, there’s a whole world of possibilities that you're missing. [ ![Mara Calvello](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Mara Calvello") MC ](https://learn.g2.com/author/mara-calvello) by Mara Calvello [![What Is Regression Analysis? Types, Importance, and Benefits](https://learn.g2.com/hubfs/G2CM_FI416_Learn_Article_Images-%5BRegression_Analysis%5D_V1a.png "What Is Regression Analysis? Types, Importance, and Benefits")](https://www.g2.com/articles/regression-analysis) [ ### What Is Regression Analysis? Types, Importance, and Benefits ](https://www.g2.com/articles/regression-analysis) Businesses collect data to make better decisions. But when you count on data for building strategies, simplifying processes, and improving customer experience, more than collecting it, you need to understand and analyze it to be able to draw valuable insights. Analyzing data helps you study what’s already happened and predict what may happen in the future.  [ ![Devyani Mehta](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Devyani Mehta") DM ](https://learn.g2.com/author/devyani-mehta) by Devyani Mehta [![What Is Statistical Modeling? When and Where to Use It](https://learn.g2.com/hubfs/G2CM_FI095_Learn_Article_Images-%5BStatistical_Modeling%5D_V1a.png "What Is Statistical Modeling? When and Where to Use It")](https://www.g2.com/articles/statistical-modeling) [ ### What Is Statistical Modeling? When and Where to Use It ](https://www.g2.com/articles/statistical-modeling) You can interpret data in multiple ways. [ ![Sagar Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Sagar Joshi") SJ ](https://learn.g2.com/author/sagar-joshi) by Sagar Joshi Show More ## Statistical Analysis Software Glossary Terms [![Spillover Effect](https://learn.g2.com/hubfs/G2CM_GI393_Glossary_Article_Images-%5BSpillover_Effect%5D_V1b.png "Spillover Effect")](https://www.g2.com/glossary/spillover-effect-definition) [Spillover Effect](https://www.g2.com/glossary/spillover-effect-definition) The spillover effect is when an event in one area causes unintended economic, social, or political consequences elsewhere. Explore its types and examples. by Kelly Fiorini [![Background Subtraction](https://learn.g2.com/hubfs/G2CM_GI845_Glossary_Article_Images_%5Bbackground_subtraction%5D_V1a.png "Background Subtraction")](https://www.g2.com/glossary/background-subtraction-definition) [Background Subtraction](https://www.g2.com/glossary/background-subtraction-definition) Background subtraction is a technique professionals use in computer vision for tracking moving objects in real time. Learn more about the process. by Sagar Joshi [![Statistical Analysis](https://learn.g2.com/hubfs/Statistical%20analysis.png "Statistical Analysis")](https://www.g2.com/glossary/statistical-analysis-definition) [Statistical Analysis](https://www.g2.com/glossary/statistical-analysis-definition) What is statistical analysis and why is it important as a software feature? Our G2 guide can help you understand statistical analysis, how it’s used by industry professionals, and its benefits. by Matthew Miller [![Unstructured Data](https://learn.g2.com/hubfs/G2CM_GI769_Glossary_Article_Images-%5BUnstructured_Data%5D_V1a.png "Unstructured Data")](https://www.g2.com/glossary/unstructured-data-definition) [Unstructured Data](https://www.g2.com/glossary/unstructured-data-definition) Unstructured data includes unorganized text, audio, and visual files. Understand the types of data, benefits, and challenges of using it. by Alyssa Towns [![Regression Analysis](https://learn.g2.com/hubfs/G2CM_GI694_Glossary_Article_Images_%5Bregression_analysis%5D-_V1a.png "Regression Analysis")](https://www.g2.com/glossary/regression-analysis-definition) [Regression Analysis](https://www.g2.com/glossary/regression-analysis-definition) Regression analysis displays the relationship between multiple variables. Learn more about its types, benefits, and significance for a business. by Sagar Joshi [![Qualitative Data](https://learn.g2.com/hubfs/G2CM_GI504_Glossary_Article_Images-%5BQualitative_Data%5D_V1b.png "Qualitative Data")](https://www.g2.com/glossary/qualitative-data-definition) [Qualitative Data](https://www.g2.com/glossary/qualitative-data-definition) Qualitative data expresses the subjective qualities of a product, process, or person. Learn more about its types, features, and how to collect this data. by Sagar Joshi [![Random Variable](https://learn.g2.com/hubfs/Random%20variable.png "Random Variable")](https://www.g2.com/glossary/random-variable-definition) [Random Variable](https://www.g2.com/glossary/random-variable-definition) A random variable takes values based on the outcomes of a random experiment or probabilistic distribution. Learn how it works and why it’s important. by Sudipto Paul ## Statistical Analysis Software Discussions 0 Question on: TelmarHelixa [Can brands use their own proprietary audience segments in planning tools?](/discussions/can-brands-use-their-own-proprietary-audience-segments-in-planning-tools) Many brands have internal audience frameworks based on CRM, research or strategic segmentation. Planning tools increasingly need to accommodate client defined audience logic so insights and media decisions align with how the organisation already thinks about consumers. Yes, many brands have proprietary audience definitions that sit alongside syndicated media surveys, often shaped by internal research, CRM strategy or long-term segmentation work. Planning tools are increasingly expected to accommodate these client-defined audience structures so media decisions align with how the organisation already thinks about its consumers, not only how standard survey segments are packaged. In practice, this means being able to reflect a brand’s proprietary audience logic within the same environment used to analyse and plan against established media survey data and allowing teams to evaluate reach, channel mix and scenario outcomes using strategic segments that are specific to the brand. TelmarHelixa supports this through custom audience builds, enabling proprietary audience frameworks to be incorporated into audience insight and cross-media planning workflows across subscribed media surveys. Answered: Elke Cathrall on February 4, 2026 [Your answer](/discussions/can-brands-use-their-own-proprietary-audience-segments-in-planning-tools/comments/new?remote=true) 0 Question on: TelmarHelixa [How do you estimate audience overlap or duplication across channels?](/discussions/how-do-you-estimate-audience-overlap-or-duplication-across-channels) When campaigns span multiple channels, overlap becomes critical. Understanding duplication helps teams avoid double counting, identify incremental reach opportunities and build more efficient cross-channel plans. Audience overlap or duplication is typically estimated by modelling how reach builds across channels rather than treating each channel in isolation. Because the same individuals may be reached through multiple media environments, cross-channel planning requires an approach that can account for shared exposure and avoid overstating total audience reach. In practice, this is critical for allocating investment efficiently. Without understanding overlap, plans can concentrate spend on repeated exposure to the same people, increasing frequency rather than delivering incremental reach. Accounting for duplication helps teams reduce wasted exposure (GRPs/Impressions etc) and direct budget toward the channels that contribute net new audience reach. TelmarHelixa supports this through cross-media reach modelling that incorporates duplication and overlap across media types, allowing planners to forecast reach curves and scenario outcomes with a clearer view of how channels interact within a single workflow. Answered: Elke Cathrall on February 4, 2026 [Your answer](/discussions/how-do-you-estimate-audience-overlap-or-duplication-across-channels/comments/new?remote=true) 0 Question on: TelmarHelixa [How do agencies plan and forecast reach for cross-channel media planning?](/discussions/how-do-agencies-plan-and-forecast-reach-for-cross-channel-media-planning) Cross-channel planning requires more than channel-by-channel estimates. Agencies increasingly need to forecast reach holistically, understand duplication across media types and build scenarios that reflect how audiences accumulate across digital and traditional investments. Agencies plan and forecast reach for cross-channel media planning by modelling how different channels contribute to overall audience delivery before a campaign is activated. Rather than relying on separate channel-level estimates, teams need a holistic view of how reach builds across digital and traditional media within a single plan. In practice, this involves creating planning scenarios, testing different channel mixes and using reach curves to see how incremental reach changes as investment shifts across platforms. This allows agencies to make informed decisions about where to allocate budget for maximum total reach and efficient audience growth. TelmarHelixa supports this through cross-media planning workflows that connect audience intelligence directly to reach forecasting, reach curves and scenario planning across media types, enabling planners to build and evaluate cross-channel plans quickly in one environment. Answered: Elke Cathrall on February 4, 2026 [Your answer](/discussions/how-do-agencies-plan-and-forecast-reach-for-cross-channel-media-planning/comments/new?remote=true) - [‹ Prev‹ Prev](/categories/statistical-analysis/resources) - [1](/categories/statistical-analysis/resources) - 2 - [3](/categories/statistical-analysis/resources?discussions_page=3) - [4](/categories/statistical-analysis/resources?discussions_page=4) - [5](/categories/statistical-analysis/resources?discussions_page=5) - [6](/categories/statistical-analysis/resources?discussions_page=6) - … - [22](/categories/statistical-analysis/resources?discussions_page=22) - [23](/categories/statistical-analysis/resources?discussions_page=23) - [Next ›Next ›](/categories/statistical-analysis/resources?discussions_page=3) ## Statistical Analysis Software Reports Mid-Market Grid® Report for Statistical Analysis Summer 2026 G2 Report: Grid® Report Grid® Report for Statistical Analysis Summer 2026 G2 Report: Grid® Report Enterprise Grid® Report for Statistical Analysis Summer 2026 G2 Report: Grid® Report Momentum Grid® Report for Statistical Analysis Summer 2026 G2 Report: Momentum Grid® Report Small-Business Grid® Report for Statistical Analysis Summer 2026 G2 Report: Grid® Report Enterprise Grid® Report for Statistical Analysis Spring 2026 G2 Report: Grid® Report Small-Business Grid® Report for Statistical Analysis Spring 2026 G2 Report: Grid® Report Mid-Market Grid® Report for Statistical Analysis Spring 2026 G2 Report: Grid® Report Grid® Report for Statistical Analysis Spring 2026 G2 Report: Grid® Report Momentum Grid® Report for Statistical Analysis Spring 2026 G2 Report: Momentum Grid® Report