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Statistical Analysis Software
STEM reviews and summary
STEM is a practical Excel macro package designed to facilitate statistical testing on summary or aggregate data directly within the familiar Microsoft Excel environment. It provides a set of tools to run common statistical tests without requiring the original raw dataset, working instead on summarized figures like means, counts, or proportions. A key feature is that it formats its output in a way that is easily transferable to Microsoft PowerPoint for creating presentation-ready graphs and charts, streamlining the process of moving from analysis to reporting. STEM is aimed at business professionals, consultants, market researchers, and students who frequently work with summary data in Excel and need to perform quick statistical checks or create prese...
Best for
STEM is aimed at business professionals, consultants, market researchers, and students who frequently work with summary data in Excel and need to perform quick statistical checks or create presentations. It is ideal for users who are comfortable with Excel but may not have access to or need for full-featured standalone statistical software.
Starting price
Pricing not listed
Category
Statistical Analysis Software
Vendor
Princeton National Surveys
Key takeaways
Our verdict
Our verdict is that STEM is a clever and highly practical niche tool that leverages the ubiquity of Excel. It provides valuable, time-saving functionality for performing statistical tests on summary data and directly supports the common workflow of creating presentations, making it a useful add-in for specific analytical and reporting tasks.
Quick facts
STEM at a glance
Overall rating
5/5
Reviews
1
Starting price
Pricing not listed
Vendor
Princeton National Surveys
Founded
1965
Location
United States
Category
Statistical Analysis Software
Ratings
STEM ratings
Ratings in this section summarize available rating data. Software reviews are shown separately when users submit reviews.
Decision notes
STEM pros and cons
Potential strengths
- Clear buyer-fit positioning is available in the profile data.
Points to verify
- Confirm current pricing, contract terms, and included plan details with the vendor.
- Confirm product-specific availability for category-level features before buying.
- There are no written reviews for this software yet.
Buyer fit
Who uses STEM?
STEM is aimed at business professionals, consultants, market researchers, and students who frequently work with summary data in Excel and need to perform quick statistical checks or create presentations. It is ideal for users who are comfortable with Excel but may not have access to or need for full-featured standalone statistical software.
Feature research
STEM features
These are common features buyers compare in Statistical Analysis Software. Product-specific availability should be confirmed with the vendor.
Data Relationship Mining
A rule-based machine learning approach to uncover significant relationships between variables in extensive datasets.
Observed Distribution Parameter Estimation
A statistical procedure that uses an observed distribution to estimate parameters of an underlying distribution.
Visual Data Reporting
The use of visual elements like charts and graphs to represent complex data sets.
Predictive Forecasting
Predict future outcomes using historical data and current market trends.
Multi-Variable Data Analysis
Involves the analysis of data sets containing multiple variables.
Predictive Data Modeling
Utilize historical data trends to forecast future outcomes and behaviors.
Variable Relationship Analysis
An analytical method to determine the relationship between independent and dependent variables.
Data Analytics & Reporting
Monitor and analyze numerical metrics and performance data through visual reports.
Process Quality Statistics
Utilizes statistical methodologies to aid in and uphold process quality control.
Normal Distribution Sampling
Evaluates a method's performance by drawing a random sample from a normal distribution.
Event Duration Analysis
Analyzes the anticipated timeframe leading up to the occurrence of one or multiple events.
Chronological Data Sequence
A sequence of data points arranged chronologically.
Pricing
STEM pricing
Starting price
Pricing not listed
Visit Website
Pricing model: Per Feature
Pricing can change. Confirm current plans and terms with the vendor.
Compare
STEM alternatives
Compare STEM with other Statistical Analysis Software tools that buyers often evaluate.
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SigmaXL by SigmaXL
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NumXL by Spider Financial
NumXL is a user-friendly statistical and econometric analysis tool that operates as an add-in within Microsoft Excel. It brings advanced analytical capabilities directly into the f...
Software reviews
STEM software reviews
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FAQ
STEM FAQs
STEM is a practical Excel macro package designed to facilitate statistical testing on summary or aggregate data directly within the familiar Microsoft Excel environment. It provides a set of tools to run common statistical tests without requiring the original raw dataset, working instead on summarized figures like means, counts, or proportions. A key feature is that it formats its output in a way that is easily transferable to Microsoft PowerPoint for creating presentation-ready graphs and charts, streamlining the process of moving from analysis to reporting.
STEM is aimed at business professionals, consultants, market researchers, and students who frequently work with summary data in Excel and need to perform quick statistical checks or create presentations. It is ideal for users who are comfortable with Excel but may not have access to or need for full-featured standalone statistical software.
Pricing can change. Confirm current plans and terms with the vendor.
STEM is listed in Statistical Analysis Software.
STEM is listed with Princeton National Surveys as the vendor.
Buyers often compare STEM with other Statistical Analysis Software tools such as SPSS, OriginPro, GraphPad Prism, Statistix. Review ratings, pricing, and fit before choosing.
Yes. Use the Write a review button on this page to submit a software review for STEM.
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