The University of Michigan does offer JMP software to its students. JMP is a statistics software used for applications development and data access, management, analysis, and presentation. The University of Michigan's Stephen M. Ross School of Business uses JMP software for coursework and projects in introductory statistics, data mining, and applied multivariate analysis, among other topics. Students can access JMP for free on their university machines by contacting their local unit IT. They can also purchase JMP from the Tech Shop for personal use.
Characteristics | Values |
---|---|
JMP Software Availability | Available for University of Michigan students |
JMP Software Usage | Used for coursework and projects in introductory statistics, data mining and applied multivariate analysis, applied forecasting, and applied regression |
JMP Software Benefits | Enhances curricula, user-friendly interface, accessible to inexperienced and advanced users, encourages critical thinking, and provides real-world data analysis |
JMP Licensing for Students | Free single-user 12-month license available |
JMP Student Edition | Free, comprehensive statistical analysis and visualization tool, ideal for introductory and advanced statistics courses |
JMP Agreements | Cover each campus individually, including UMDearborn and UMFlint |
JMP Software Access | UmichITAM faculty, staff, and students can receive the software at no cost on university machines by contacting their local unit IT |
JMP Purchase Options | Students can purchase JMP from the Tech Shop for personal equipment |
What You'll Learn
JMP® is a statistics software
JMP is used in applications such as data mining, quality control, design of experiments, and research in science, engineering, and the social sciences. The software is available in five configurations: JMP, JMP Pro, JMP Clinical, JMP Genomics, and JMP Live. It is designed to be intuitive and accessible to users of all levels of experience, from novices to advanced users. JMP is used in academia and industry, with applications in analytics, predictive modelling, machine learning, and data mining across various sectors.
The University of Michigan's Stephen M. Ross School of Business uses JMP software for coursework and projects in introductory statistics, data mining, and applied multivariate analysis, applied forecasting, and applied regression. Students and teams use JMP's analytics to explore data, identify business challenges, uncover patterns, and examine possible solutions, applying these skills in their work environments.
JMP's user-friendly interface and accessibility make it a valuable tool for teaching and learning statistical concepts, providing access to a variety of statistical techniques and graphical tools.
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It's used for coursework and projects at the University of Michigan
The University of Michigan's Stephen M. Ross School of Business uses JMP software for coursework and projects. JMP is a statistics software that offers tools for applications development and data access, management, analysis, and presentation.
JMP is used in coursework and projects in introductory statistics, data mining and applied multivariate analysis, applied forecasting, and applied regression. Students use the software to delve into analytics, explore data, identify business challenges, uncover patterns, and examine possible solutions. They then apply these skills in their work environments.
JMP is particularly useful for students with varying levels of experience in statistics. Its user-friendly interface makes it accessible to inexperienced users, while also offering advanced features for those with more expertise. The software's analytics capabilities enable students to explore data, uncover patterns, and develop critical thinking skills.
The University of Michigan has agreements in place for JMP, and students can obtain the software at no cost for their university machines by contacting their local unit IT. Students can also purchase JMP for their personal machines through the Tech Shop.
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Students can get JMP for free on university machines
Students at the University of Michigan can get JMP for free on their university machines. JMP is a sophisticated analytics software that is used for applications development and data access, management, analysis and presentation.
The University of Michigan's Stephen M. Ross School of Business uses JMP software for coursework and projects in introductory statistics, data mining and applied multivariate analysis, applied forecasting, and applied regression. The software is used by students with varying levels of experience with statistics, from those with little experience to engineers and information specialists. JMP is valued for its user-friendly interface and ability to handle large data sets with thousands of rows quickly and efficiently.
Students at the University of Michigan can take advantage of the free JMP software by contacting their local unit IT. This offer is available to UmichITAM faculty, staff, and students, with individual agreements covering each campus. For example, UMDearborn and UMFlint have signed agreements covering JMP. Students can also purchase JMP from the Tech Shop for personal use.
The JMP Student Edition is a free, comprehensive statistical analysis and visualization tool designed for classroom instruction. It is ideal for both introductory and advanced statistics courses, providing access to a variety of statistical techniques and graphical tools. The student edition is perfect for demonstrating statistical principles, analyzing real-world data, and helping students develop critical thinking skills.
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It's also available for purchase for personal use
The University of Michigan's Stephen M. Ross School of Business uses JMP software for coursework and projects in introductory statistics, data mining and applied multivariate analysis, applied forecasting, and applied regression. The software is also used by students at the University of Michigan’s Stephen M. Ross School of Business, who find it invaluable for exploring data, uncovering patterns, and examining possible solutions.
JMP is a statistics software package offered by software company SAS Institute Inc. that is used for applications development and data access, management, analysis, and presentation. The University of Michigan has agreements in place for JMP that cover each of its campuses individually. Students at the university can receive JMP software at no cost on their university machines by contacting their local unit IT.
JMP also offers free single-user 12-month licenses for students, providing access to a comprehensive statistical analysis and visualization tool designed for classroom instruction. The JMP Student Edition is ideal for both introductory and advanced statistics courses, providing access to a variety of statistical techniques and graphical tools.
In addition to the free student licenses, JMP can also be purchased for personal use. Students at the University of Michigan can purchase JMP from the Tech Shop for their personally-owned equipment. This option allows students to have the software on their personal devices, enabling them to work on their projects and assignments outside of the university environment.
By making JMP available for purchase, students who wish to have the software on their personal devices can do so without having to rely on university-provided machines. This flexibility can be beneficial for students who prefer to work on their own devices or those who may need to work remotely. The purchase option ensures that all students have equal access to the software, fostering a more inclusive learning environment.
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JMP is ideal for both introductory and advanced statistics courses
The University of Michigan's Stephen M. Ross School of Business uses JMP software for coursework and projects in introductory statistics, data mining and applied multivariate analysis, applied forecasting, and applied regression. The software is ideal for both introductory and advanced statistics courses.
JMP is a sophisticated analytics tool that makes statistical discovery accessible. It is a powerful tool for students, whether they are beginners or advanced users. JMP's user-friendly interface and wide range of capabilities make it perfect for teaching and learning statistical concepts. It is a valuable resource for students to develop their critical thinking skills and apply statistical principles to real-world data analysis.
JMP's free Student Edition offers a comprehensive statistical analysis and visualization tool for classroom instruction. It provides access to a variety of statistical techniques and graphical tools, making it ideal for demonstrating statistical principles. The software's menu-driven interface is easy to learn and use, even for those without coding experience.
JMP's capabilities include data import and management, univariate and bivariate data analysis, hypothesis testing, resampling, text exploration, regression, advanced regression and linear models, predictive modelling, machine learning, multivariate data analysis, and more. The software's interactive visualizations and accompanying graphs help users understand complex relationships and share their discoveries clearly.
JMP is an invaluable tool for students at the University of Michigan's Stephen M. Ross School of Business. It enhances their learning experience by providing a user-friendly platform for data exploration, pattern recognition, and problem-solving. With JMP, students can focus on applying statistical knowledge to real-world scenarios rather than struggling with complex software.
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Frequently asked questions
Yes, the University of Michigan has JMP software for students.
JMP is a statistics software used for applications development and data access, management, analysis and presentation.
Students can access JMP for free on their university machines by contacting their local unit IT. They can also purchase JMP from the Tech Shop for personal use.
JMP has a user-friendly interface and is accessible to both novice and advanced users. It offers a wide range of statistical techniques and graphical tools, making it ideal for teaching and learning statistical concepts.