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JMP VS nQuery Sample Size Software

Compare JMP VS nQuery Sample Size Software and see what are their differences

JMP logo JMP

JMP is a data representation tool that empowers the engineers, mathematicians and scientists to explore the any of data visually.

nQuery Sample Size Software logo nQuery Sample Size Software

nQuery is the #1 clinical trial design software of choice for researchers who want to conduct sample size determination and power analysis for clinical trials. 50K+ users and trusted by the FDA, EMA & other agencies.
  • JMP Landing page
    Landing page //
    2023-04-12
  • nQuery Sample Size Software Landing page
    Landing page //
    2023-08-24

JMP features and specs

  • User-friendly Interface
    JMP offers a drag-and-drop interface that is intuitive and easy to navigate, making it accessible for both beginners and advanced users.
  • Comprehensive Data Visualization
    The software provides robust tools for data visualization, enabling users to create a wide variety of charts, graphs, and plots that can help in understanding complex data sets.
  • Advanced Statistical Analysis
    JMP includes a wide range of advanced statistical techniques, such as regression analysis, ANOVA, and multivariate methods, which are suitable for rigorous data analysis.
  • Integration with R and Python
    The software supports integration with R and Python, allowing users to leverage additional functionalities not available in JMP alone.
  • Interactive Data Exploration
    JMP enables interactive data exploration, allowing users to dynamically manipulate data sets and instantly see the results of their changes.
  • Quality Control Features
    The software includes numerous quality control tools, making it ideal for industries where maintaining high standards is critical.

Possible disadvantages of JMP

  • Cost
    JMP is a commercial software with a relatively high price point, which may be a barrier for small businesses or individual users.
  • Learning Curve
    Despite its user-friendly interface, JMP has a steep learning curve for those unfamiliar with statistical analysis and data visualization techniques.
  • Resource Intensive
    The software can be resource-intensive, requiring significant computational power and memory, especially when handling large datasets.
  • Limited Collaboration Features
    JMP lacks extensive features for real-time collaboration compared to some of the more modern data science platforms.
  • Package Ecosystem
    While JMP is powerful, its ecosystem of add-ons and packages is not as extensive as that of R or Python, which might limit its utility for some specialized tasks.
  • OS Compatibility
    JMP is primarily designed for Windows and MacOS. Users on other operating systems might face compatibility issues or may need to use workarounds.

nQuery Sample Size Software features and specs

  • Comprehensive Features
    nQuery offers a wide range of statistical tools and features for sample size and power analysis, making it suitable for various types of clinical trials and research studies.
  • User-Friendly Interface
    The software provides an intuitive and easy-to-use interface, which helps researchers and statisticians streamline their analysis without extensive training.
  • Reliable Output
    nQuery is known for providing accurate and dependable sample size calculations, which are essential for designing effective research studies.
  • Extensive Support and Resources
    As a well-established tool, nQuery offers comprehensive documentation, tutorials, and customer support, aiding users in maximizing the softwareโ€™s potential.
  • Regular Updates
    The software receives consistent updates, ensuring it remains up-to-date with the latest statistical methods and research needs.

Possible disadvantages of nQuery Sample Size Software

  • Cost
    nQuery can be expensive, particularly for small organizations or individual researchers, which can be a barrier to access.
  • Learning Curve
    Despite its user-friendly interface, mastering all the functionalities of nQuery may require time and effort, especially for users with limited statistical background.
  • Software Limitations
    Some users might find specific limitations in advanced functionalities compared to certain specialized tools tailored for niche statistical analyses.
  • Dependency on Updates
    While regular updates are beneficial, they may lead users to dependency on the softwareโ€™s evolution for new features, potentially complicating long-term research planning.

Analysis of JMP

Overall verdict

  • Overall, JMP is a highly regarded software package, especially among users in academic, engineering, and scientific research fields. It is considered excellent for visual data exploration and is often praised for its ability to handle complex statistical tasks with relative ease. However, some users may find it expensive, and it may not be the best option for those seeking free or open-source alternatives.

Why this product is good

  • JMP (jmp.com) is considered a strong choice for statistical analysis due to its comprehensive suite of tools for data visualization, exploratory data analysis, and analytic modeling. It is particularly known for its interactivity and user-friendly interface which helps make complex data more understandable. JMP supports a wide range of data analysis techniques and provides robust support for design of experiments (DOE), which is highly valued in research and development settings.

Recommended for

  • Researchers and analysts who require advanced statistical capabilities
  • Engineers and quality professionals involved in Six Sigma and other quality improvement initiatives
  • Academics and students looking for an educational tool offering rich functionality for data analysis
  • Organizations with a focus on design of experiments and predictive modeling

JMP videos

Review Of The UAD Marshall JMP 2203 Plug-in From Universal Audio

More videos:

  • Demo - Marshall JMP-1 - In Depth Demo by Leon Todd
  • Review - Marshall JMP 1 Watt Combo - Blues Harmonica Amp Review

nQuery Sample Size Software videos

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Category Popularity

0-100% (relative to JMP and nQuery Sample Size Software)
Technical Computing
87 87%
13% 13
Data Dashboard
88 88%
12% 12
Numerical Computation
79 79%
21% 21
Statistics
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare JMP and nQuery Sample Size Software

JMP Reviews

25 Best Statistical Analysis Software
JMP is a top-rated tool for data exploration and analysis, delivering dynamic data visualization and an extensive selection of statistical tools to empower users to make well-informed decisions based on their findings.
Top 10 Free Statistical Analysis Software 2023
5. JMP Scripting Language (JSL) scripting is supported for automation, customisation, and expanding functionality.
9 Best Analysis Software for PC 2023
JMP is a software analysis software that can perform data manipulations and mining. It is a perfect alternative to MS Excel, which is famous for visualization. JMP is available on a free-trial and premium-based plan. The trial plan allows the user to interact with the software before deciding whether to purchase it.
Source: pdf.wps.com

nQuery Sample Size Software Reviews

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What are some alternatives?

When comparing JMP and nQuery Sample Size Software, you can also consider the following products

IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

Stata - Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.

RStudio - RStudioโ„ข is a new integrated development environment (IDE) for R.

GraphPad Prism - Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.

Base SAS - Base SAS Software is an easy-to-learn fourth-generation programming language for data access, transformation and reporting.

KNIME Analytics Platform - Predictive Analytics