STA1000 (STA1000)

This summary for "Introductory Statistics (STA1000)" covers essential probability distributions, including uniform, binomial, Poisson, exponential, and normal distributions. It provides a clear, concise overview of each distribution's key concepts and applications, making it an invaluable resource for mastering foundational statistical analysis.

This is a comprehensive and detailed note on Introducing probability, Set theory/Probability axioms & theorems/permutations & combinations/ Conditional probability and independence for STA 1000. Quality stuff!! U'll need it!!

These Notes provide a summarized version with step-by-step instructions on how to complete various calculations such as Hypothesis tests, T-Tests etc. Please note the notes teach an approach on how to tackle calculations using Excel (Includes what excel formulas to use and not manual calculation.) I received a distinction for the course and hope these notes can assist you in doing the same!

This testing summary describes all the content about the testing section in STA1000. It is useful to use before practicing the questions as it entails all the content you need to know.

This summary describes everything to know with the distributions component of STA1000. This is useful to use before attempting practicing.

these are notes that cover the entire course with solutions to questions . in depth explanations that cover all topics and would guarantee an a*. Contains both information from lectures , videos , textbook and from tutors.

This summary provides all the definitions, equations and the most important information for STA1000. It provides all the theory for module 1, in a concise summary, that is easy to understand.

This is an Introductory statistics revision pack. It consists of exercise questions along with solutions to help understand statistics. This document is suitable for high school learners so as college students. This pack has been used by the students of the number one university in Africa, The University of Cape Town and has proven to be the most effective in understanding Statistics.

These summaries provide short notes on the most important topics covered in introductory first year University statistical courses. Each chapter contains notes as well as many examples with step-by-step procedures on how to practice the theory. With statistics, it is vital to know your theory but more importantly, how to apply your knowledge! You will find in-depth examples that have explanations and calculations that provide the most perfect self-study to a student.

Effective for exam study