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About MobStats

In statistics classrooms, students often face challenges when it comes to solving statistical problems and grasping complex statistical concepts. Traditional methods of teaching statistics, such as textbooks and manual calculations, may not provide students with the practical, hands-on experience they need to develop a deep understanding of the subject.
The existing statistical software packages available in the market are often complex and geared towards professional statisticians or researchers. These tools may overwhelm students with their advanced features and steep learning curves, hindering their ability to focus on the core principles of statistics. Furthermore, these software packages may be expensive or require costly licenses, creating barriers to access for students with limited resources.
As a result, students may struggle to connect theoretical concepts to real-world applications, analyze data effectively, and interpret statistical results accurately. This gap in knowledge and practical experience can hinder their academic performance and limit their ability to apply statistical methods in future careers.

This is why I developed brought it to your doorstep. While it is not a replacement to desktop software like SPSS, Excel, etc., it is geared towards bringing their feeling to the "mobile world" community. Say "cheers"! The mobile application is capable of undertaking the following statistical tools (which will constantly be improved upon and more features added):

1. Correlation Analysis
2. Central Tendency: Mean, Harmonic Mean, Geometric Mean, Variance, Sample Variance, Standard Deviation, Sample Standard Deviation
3. Sampling (with and without replacement)
4. Linear Regression
5. Durbin Watson Autocorrelation
6. Multiple Linear Regression
7. Polynomial Regression
8. Binomial Distribution
9. Poisson Distribution
10. Uniform Distribution
11. Normal Distribution
12. Chi-Square Distribution
13. Exponential Distribution
14. Gamma Distribution
15. Chi-Square Distribution Table
16. Standard Normal Table
17. Student T Table
18. One-sample Sign Test
19. Two-sample Sign Test
20. One-sample Runs Test
21. Two-sample Runs Test
22. Time Series Analysis
23. Autocorrelation
24. Randomized Complete Block Design
25. Complete Randomized Design
26. Relative Efficiency
27. Missing Value
28. Balanced Incomplete Block Design
29. In-built calculator

For any suggestion, please send directly to me via [email protected].
And if you love this project you can buy me 2 "green" bottles and a plate of Nkwobi. I hope you enjoy this application.

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