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Description
Many statistical software packages are created by statisticians for statisticians, resulting in tools that are rich in features yet can be daunting for scientists due to complex manuals, technical terminology, and steep costs. However, GraphPad InStat stands out as it is crafted by a scientist specifically for fellow researchers. This user-friendly program allows even those new to statistics to analyze their data efficiently within minutes. InStat provides a streamlined experience for statistical analysis, guiding users through each step of their evaluation. Within just a short time, you will become proficient in using InStat without needing to identify the specific statistical test required for your analysis. The software assists you in selecting the right test by prompting you with questions about your dataset, ensuring a tailored approach. If any uncertainties arise, the comprehensive help screens are available to clarify statistical concepts in easily understandable terms. InStat caters to users of all levels of statistical knowledge, presenting results in straightforward language with minimal technical jargon. Furthermore, the help screens offer a detailed overview of how each statistical test is utilized, making it an invaluable resource for researchers. InStat truly simplifies the process of statistical analysis, making it accessible and effective for everyone.
Description
Oriana for Windows is specifically designed to compute the unique statistics needed for circular data, such as angles or directions expressed in degrees, as well as time-related data like the hours of the day, days of the week, and months of the year. The software provides a range of analytical tools that encompass fundamental statistics, including mean vector calculations and confidence intervals, along with single sample distribution tests like Rayleigh's test, as well as pairwise and multisample assessments such as the Watson-Williams F-Test and chi-squared tests, in addition to examining pairwise correlations. Additionally, it offers various graphical representations of your data, such as rose diagrams, circular histograms, and wind roses, which help in revealing underlying patterns effectively. If your work involves analyzing directional data measured in degrees or you are investigating cyclical occurrences throughout the day, week, month, or year, then you are dealing with circular data that necessitates specialized statistical methods. Therefore, Oriana serves as an essential tool for anyone looking to delve into this type of analysis and visualize their findings clearly. By utilizing Oriana, researchers can uncover significant trends and insights from their circular datasets.
API Access
Has API
API Access
Has API
Integrations
Laby
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
GraphPad Software
Website
www.graphpad.com/scientific-software/instat/
Vendor Details
Company Name
Kovach Computing Services
Country
United Kingdom
Website
www.kovcomp.co.uk
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization