Learn Statistics (Offline)
Learn Statistics (Offline) Summary
Learn Statistics (Offline) is a ad-supported Android app in Education by Alpha Z Studio. Released in Dec 2021 (4 years ago). It has about 38.1K+ installs and 76 ratings with a 3.33★ (mixed) average. Based on AppGoblin estimates, it reaches roughly 573 monthly active users and generates around $<10K monthly revenue (0% IAP / 100% ads). Store metadata: updated Jan 29, 2025.
Recent activity: 101 installs this week (360 over 4 weeks) showing above average growth View trends →
Store info: Last updated on Google Play on Jan 29, 2025 .
3.33★
Ratings: 76
Screenshots
App Description
learn complete statistics from here.
What is Statistics
Statistics is the science concerned with developing and studying methods for collecting, analyzing, interpreting and presenting empirical data. Statistics is a highly interdisciplinary field; research in learn statistics finds applicability in virtually all scientific fields and research questions in the various scientific fields motivate the development of new statistical methods and theory. In developing methods and studying the theory that underlies the methods statisticians draw on a variety of mathematical and computational tools.
Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. In applying statistics to, e.g., a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied.
Statistics is a form of mathematical analysis that uses quantified models, representations and synopses for a given set of experimental data or real-life studies.
This app Learn statics consists a lot of good topics that will help you to learn fast. the list of topics are given below
- Tutorials
- Introduction of Statistics
- Probability
- Population & Organization
- Hypothesis.
- Linear Regression
- Sampling
- Correlation
- Variables
Statistics is the discipline of study that includes the collection, organization, analysis, interpretation and presentation of data.
