Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions

Jim Frost

ISBN 10: 173543115X / ISBN 13: 9781735431154

Published by Statistics By Jim Publishing, 2020

: Este libro es una guía intuitiva para la prueba de hipótesis, un proceso crucial en la toma de decisiones basada en datos. Explica cómo utilizar las pruebas de hipótesis de manera efectiva, cuándo aplicar cada prueba de manera confiable y cómo interpretar los resultados correctamente. Aprenderás a seleccionar el tipo de prueba adecuado para responder a tus preguntas, probar medias, medianas, varianzas, proporciones, distribuciones, recuentos y correlaciones para datos continuos y categóricos, y a identificar valores atípicos. También cubre temas como ANOVA, tasas de error y métodos paramétricos y no paramétricos. Incluye ejemplos de pruebas de hipótesis y acceso a conjuntos de datos descargables para practicar. EAN: 9781735431154 Tipo: Libros Categoría: Tecnología|Educación|Ciencias Título: Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions Autor: Jim Frost Editorial: Statistics By Jim Publishing Idioma: en Páginas: 381 Formato: tapa blanda. Seller Inventory # Happ-2025-06-09-8977226f

Synopsis:

The world produces more data than ever. Are you ready for it?

In today’s data-driven world, you hear about making decisions based on data all the time. Hypothesis testing plays a crucial role in that process, whether you’re in academia, business, or data science. Without hypothesis tests, you risk making bad decisions.

Chances are high you’ll need to understand these tests to analyze your data and evaluate the work of others.

Build the knowledge for effective hypothesis testing! Know when to use each test, how to use them reliably, and how to interpret the results correctly!

• Understand why you need hypothesis tests and how they work.
• Effectively use significance levels, p-values, confidence intervals.
• Select the correct type of test to answer your question.
• Learn how to test means, medians, variances, proportions, distributions, counts, correlations for continuous and categorical data, and find outliers.
• One-Way ANOVA, Two-Way ANOVA, and interaction effects.
• Check assumptions to obtain reliable results.
• Manage the error rates for false positives and false negatives.
• Understand sampling distributions, the central limit theorem, and statistical power.
• Know how t-tests, F-tests, chi-squared, and post hoc tests work.
• Learn about differences between parametric, nonparametric, and bootstrapping methods.
• Examples of many hypothesis tests.
• Access free downloadable datasets so you can try it yourself.

About the Author

Jim Frost has extensive experience using statistical analysis in academic research and consulting projects. He’s been performing statistical analysis on-the-job for over 20 years. For 10 of those years, he was at a statistical software company helping others make the most out of their data. Jim loves sharing the joy of statistics. To help with this process, he has his own website and writes a regular column for the American Society of Quality's Statistics Digest.

About the Author: Jim Frost has extensive experience using statistical analysis in academic research and consulting projects. He's been performing statistical analysis on-the-job for over 20 years. For 10 of those years, he was at a statistical software company helping others make the most out of their data. Jim loves sharing the joy of statistics. In addition to writing books, he has his own statistics website and writes a regular column for the American Society of Quality's Statistics Digest. Find him online at statisticsbyjim.com.

Bibliographic Details

Title: Hypothesis Testing: An Intuitive Guide for ...
Publisher: Statistics By Jim Publishing
Publication Date: 2020
Binding: Soft cover
Condition: Muy bueno