Statistics Crash Course Statistics Crash Course

Publisher Description

A crash course in statistics delves into key statistical methods,namely Chi Square, t-test, ANOVA and descriptive statistics. Itequally gives an overview of statistical methods as well asvarious discussions of the statistical tests relating to variousdatabase culled from various sources, like the survey of studentspending on textbooks, etc. Also, detailed demonstration ofvarious data analysis in SPSS was considered via statistical test.Descriptive statistics, being an outstanding aspect of this broadfield, was considered in detail, as well as the field ofnonparametric statistics. Furthermore, this text will look into theOne-Way and the Two-Way statistics.Parametric and nonparametric statistics is a very importantaspect of the subject matter, thereby necessitating their mentionin this text. Mention will be made of their theories and practicalaspect towards enlightening the reader about how each of themis applied in real-life situations. Also, the reader will getenlightened on how each of these statistical methods differs.Aside from the basic concepts of probability that will bediscussed in this text, mentioned will equally be made ofConditional probability, probability description, and discreetrandom variables. Besides, the relationship between probabilitydistribution and continuous random variables will be mentioned.Additionally, the text will discuss the central limit theorem aswell as the sampling distribution of the Sample Mean.As much as possible, this write-up will only focus on the basicsand foundational aspects of the field of statistics since thepurpose is focused mainly on building a foundation on thesubject matter.

GENRE
Science & Nature
RELEASED
2019
November 28
LANGUAGE
EN
English
LENGTH
25
Pages
PUBLISHER
IntroBooks
SELLER
Draft2Digital, LLC
SIZE
186.9
KB
Chaos Theory Chaos Theory
2019
Managerial Economics Crash Course Managerial Economics Crash Course
2019
Project Finance Project Finance
2019
Financial Statement Analysis Fundamentals Financial Statement Analysis Fundamentals
2019
Astrophysics Astrophysics
2019
Quantum Mechanics Quantum Mechanics
2019