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Deborah J. Rumsey
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Published:
April 23, 2019

Statistics Workbook For Dummies with Online Practice

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Overview

Practice your way to a higher statistics score 

The adage that "practice makes perfect" is never truer than with math problems. Statistics Workbook For Dummies with Online Practice provides succinct content reviews for every topic, with plenty of examples and practice problems for each concept, in the book and online.  

Every lesson begins with a concept review, followed by a few example problems and plenty of practice problems. There's a step-by-step solution for every problem, with tips and tricks to help with comprehension and retention. New for this edition, free online practice quizzes for each chapter provide extra opportunities to test your knowledge and understanding. 

  • Get FREE access to chapter quizzes in an online test bank
  • Work along with each chapter or use the test bank for final exam review
  • Discover which statistical measures are most meaningful

Scoring high in your Statistics class has never been easier! 

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About The Author

Deborah J. Rumsey, PhD is a longtime statistics professor at The Ohio State University specializing in statistics education. She authored Statistics For Dummies, Statistics II For Dummies, and Probability For Dummies.

Sample Chapters

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statistics workbook for dummies with online practice

CHEAT SHEET

This cheat sheet is for you to use as a quick resource for finding important basic statistical formulas such as mean, standard deviation, and Z-values; important and always useful probability definitions such as independence and rules such as the multiplication rule and the addition rule; and 10 quick ways to spot statistical mistakes either in your own work, or out there in the media as a consumer of statistical information.
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Articles from
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Statistics and math are very different subjects, but you use a certain amount of mathematical tools to do statistical calculations. Sometimes you can understand the statistical idea but get bogged down in the formulas and calculations and end up getting the wrong answer. Avoid making the common math mistakes that can cost you points on homework and exams.
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As a statistical tool, a t-table lists critical values for two-tailed tests. You then use these values to determine confidence values. The following t-table shows degrees of freedom for selected percentiles from the 90th to the 99th: Degrees of Freedom 90th Percentile (a = .10) 95th Percentile (a = .05) 97.5th Percentile (a = .
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This cheat sheet is for you to use as a quick resource for finding important basic statistical formulas such as mean, standard deviation, and Z-values; important and always useful probability definitions such as independence and rules such as the multiplication rule and the addition rule; and 10 quick ways to spot statistical mistakes either in your own work, or out there in the media as a consumer of statistical information.
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A histogram is a bar graph made for quantitative data. Because the data are numerical, you divide it into groups without leaving any gaps in between (so the bars are connected). The Y-axis shows either frequencies (counts) or relative frequencies (percents) of the data that fall into each group. How to create a histogram To make a histogram, you first divide your data into a reasonable number of groups of equal length.
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Statisticians call a distribution with a bell-shaped curve a normal distribution. You may have heard of a bell curve. A bell curve describes data from a variable that has an infinite (or very large) number of possible values distributed among the population in a bell shape. This basically means a big group of individuals gravitate near the middle, with fewer and fewer individuals trailing off as you move away from the middle in either direction.
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What is categorical data? Basically, it is data in which individuals are placed into groups or categories — for example gender, region, or type of movie. Summarizing categorical data involves boiling down all the information into just a few numbers that tell its basic story.Because categorical data involves pieces of data that belong in categories, you have to look at how many individuals fall into each group and summarize the numbers appropriately.
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