9781793436788-1793436789-Learn Statistics Today: 50 Solved Equations To Easily Explain Statistics! (Content Guide Included)

Learn Statistics Today: 50 Solved Equations To Easily Explain Statistics! (Content Guide Included)

ISBN-13: 9781793436788
ISBN-10: 1793436789
Author: Math Wizo
Publication date: 2019
Publisher: Independently published
Format: Paperback 60 pages
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Book details

ISBN-13: 9781793436788
ISBN-10: 1793436789
Author: Math Wizo
Publication date: 2019
Publisher: Independently published
Format: Paperback 60 pages

Summary

Learn Statistics Today: 50 Solved Equations To Easily Explain Statistics! (Content Guide Included) (ISBN-13: 9781793436788 and ISBN-10: 1793436789), written by authors Math Wizo, was published by Independently published in 2019. With an overall rating of 4.2 stars, it's a notable title among other books. You can easily purchase or rent Learn Statistics Today: 50 Solved Equations To Easily Explain Statistics! (Content Guide Included) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.15.

Description

The One Guide To Finally Make Statistics Easy

This book was made for you… To help you ‘Learn Statistics Today’.

Whether you love or hate math, this guide is used to help you grasp what it is needed to pass Statistics!

Master All Areas of Statistics With Content + 50 Fully Solved Equations…

In this introductory guide, you will easily learn:

  • An overview on data sampling
  • The calculation of measures of central tendency (mean, median, mode, and range).
  • How to calculate the measure of data dispersion (standard deviation) on both a population and on a sample.
  • Calculating the best fit line using the Least Squared Method.
  • Constructing Box-Whisker Plots, and how to calculate the 3 quartile values.
  • All about false positive and false negative results and how to calculate confidence intervals using the data information and z-scores.
  • How to calculate the margin of error and how to conduct Chi square p-values to measure the significance of test results.
  • And Much More!
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