Data Analysis

October 23, 2020 | Updated: October 29, 2020
Author: Paul Grinder, Okanagan College

This resource covers the following learning objectives: explain the uses and misuses of statistics; demonstrate an understanding of mean, median, mode, range, quartiles, percentiles, standard deviation, the normal curve, z scores, sampling error, and confidence intervals; graphically present data in the form of frequency tables, line graphs, bar graphs, and stem and leaf plots; and design and conduct a statistics project, analyze the data and communicate your observations about the data. This textbook was written for Adult Basic Education (ABE) Advanced Level Mathematics.

Subject Areas
Adult Basic Education, Math

Tell us you are using this Open Textbook

Support for adapting an open textbook

Need help?
Visit our help page

Textbooks flagged as accessible meet the criteria noted on the Accessibility Checklist

textbook cover image
“Warm data” ( by beachmobjellies ( is under a CC BY-SA 2.0 Licence (

Get This Book

Select a file format

Creative Commons License
Data Analysis by Paul Grinder, Okanagan College is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.

Similar Textbooks

There are currently no reviews for this book.

Be the first to request to review this textbook