9781735431109-1735431109-Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries

Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries

ISBN-13: 9781735431109
ISBN-10: 1735431109
Author: Jim Frost
Publication date: 2020
Publisher: Statistics By Jim Publishing
Format: Paperback 255 pages
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ISBN-13: 9781735431109
ISBN-10: 1735431109
Author: Jim Frost
Publication date: 2020
Publisher: Statistics By Jim Publishing
Format: Paperback 255 pages

Summary

Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries (ISBN-13: 9781735431109 and ISBN-10: 1735431109), written by authors Jim Frost, was published by Statistics By Jim Publishing in 2020. With an overall rating of 3.8 stars, it's a notable title among other Data Mining (Databases & Big Data) books. You can easily purchase or rent Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries (Paperback) from BooksRun, along with many other new and used Data Mining books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $5.83.

Description

Learn statistics without fear! Build a solid foundation in data analysis. Be confident that you understand what your data are telling you and that you can explain the results to others! I'll help you intuitively understand statistics by using simple language and deemphasizing formulas. This guide starts with an overview of statistics and why it is so important. We proceed to essential statistical skills and knowledge about different types of data, relationships, and distributions. Then we move to using inferential statistics to expand human knowledge, how it fits into the scientific method, and how to design and critique experiments. Learn the fundamentals of statistics. Why is the field of statistics so vital in our data-driven society? Interpret graphs and summary statistics. Find relationships between different types of variables. Understand the properties of data distributions. Use measures of central tendency and variability. Interpret correlations and percentiles. Use probability distributions to calculate probabilities. Learn about the normal distribution and the binomial distributions in depth. Grasp the differences between descriptive and inferential statistics. Use data collection methodologies properly and understand sample size considerations. Critique scientific experiments-whether it's your own or another researcher's.

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