Description: Data analysis for everyoneWe live in a data-driven world. Students must learn to think critically with and about data, communicate their findings to others, and carefully evaluate others’ arguments. The first two-thirds of Essential Statistics cover the fundamental concepts of exploratory data analysis (data collection and summary) and inferential statistics. The remaining third returns to themes covered earlier and presents them in a new context by introducing additional statistical methods, including estimating population means and analyzing categorical variables. Inspired by the Guidelines for Assessment and Instruction in Statistics Education (GAISE), the authors have crafted the 3rd Edition to reflect the rise of data science — offering new features to prepare students for working with the complex data that surround us.
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Location: Athens, Georgia
End Time: 2024-12-27T20:55:42.000Z
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Item Specifics
All returns accepted: ReturnsNotAccepted
Publication Year: 2020
Type: Textbook
Format: Loose-Leaf Edition
Language: English
Subject Area: Mathematics
Publication Name: Essential Statistics 3rd Edition
Author: Colleen N. Ryan, Rebecca Wong, Robert Gould
Features: Loose-Leaf
Publisher: Pearson Education Canada
Subject: Probability & Statistics / General, General
Number of Pages: 608 Pages
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