
IBM SPSS Statistics Base Campus Edition 1-Year Subscription for Mac/Windows (Download)
$253.00
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SKU: D0F9FZX
Eligibility: Schools Only
Empower your academic institution with just one license - simple and hassle-free access for every user.
IBM SPSS Statistics for academic institutions offers an all-in-one solution to enhance research, teaching, and learning across the board. Tailored to address the unique challenges of academic institutions, it offers a scalable solution that provides affordable access and meets the diverse needs of every user.
Reimagine what your institution can achieve:
- University-wide research - Enable collaborative, impactful research with shared analytics for students and faculty.
- Data-driven planning - Inform strategic decisions with insights from enrollment, performance, and retention data.
- Enhanced curriculum - Integrate data analysis into courses, building practical, career-ready skills.
- Insightful feedback analysis - Easily analyze campus surveys to improve student and faculty experiences.
Included in the Base Edition are:
- Statistics Base
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Data Preparation: IBM® SPSS® Data Preparation performs advanced techniques to streamline the data preparation stage, delivering faster, more accurate data analysis results.
- Choose from an automated data preparation procedure for fast results or select other methods to prepare more challenging datasets.
- Identify suspicious or invalid cases, variables and data values.
- View patterns of missing data, summarize variable distributions and more accurately work with algorithms designed for nominal attributes.
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Bootstrapping: The IBM® SPSS® Bootstrapping module makes bootstrapping, a technique for testing model stability, simpler for you to use.
- Estimates the sampling distribution of an estimator by resampling with replacement from your original sample.
- Estimates standard errors and confidence intervals for a population parameter such as the mean, median, proportion, odds ratio, correlation coefficient, regression coefficient and more.
- Controls the number of bootstrap samples, sets a random number seed and indicates whether a simple or stratified method is appropriate.