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stats! Statistics Learning and Decision Tool

Welcome to stats

Welcome to stats

stats! Statistics Learning and Decision Tool

by elizabeth albright
stats! Statistics Learning and Decision Tool
stats! Statistics Learning and Decision Tool
stats! Statistics Learning and Decision Tool

What is it about?

Welcome to stats!, an app that provides an in-depth overview of many statistical topics, from descriptive statistics and t-tests to multiple linear regression and beyond!

stats! Statistics Learning and Decision Tool

App Details

Version
1.0
Rating
(33)
Size
34Mb
Genre
Education Reference
Last updated
October 12, 2014
Release date
October 12, 2014
More info

App Screenshots

stats! Statistics Learning and Decision Tool screenshot-0
stats! Statistics Learning and Decision Tool screenshot-1
stats! Statistics Learning and Decision Tool screenshot-2
stats! Statistics Learning and Decision Tool screenshot-3

App Store Description

Welcome to stats!, an app that provides an in-depth overview of many statistical topics, from descriptive statistics and t-tests to multiple linear regression and beyond!

The app contains information on the underlying concepts, mechanics and interpretations of the major tools of data analysis. When new (or even old) to statistics, it is often a challenge to determine the best test to run, given the question you want to answer and the data you have. This app offers a step-by-step tool to help you make these decisions! Appropriate for students from AP level statistics through undergraduate and graduate coursework, stats! hopes to make learning stats fun.

Designed and developed by Elizabeth A. Albright, PhD an assistant professor of the practice at Duke University and Little Green Software, Durham, NC. The development of this app was inspired by the Dean’s Digital Initiative (2013) at the Nicholas School of the Environment at Duke University.

Topics covered in the app:
- Data types
- Descriptive statistics
- Probability and probability distributions
- Sampling
- Confidence intervals
- Comparison of means
- Power analysis
- Transformations
- Non-parametric tests
- ANOVA
- Simple linear regression
- Multiple linear regression
- Generalized linear models

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