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Statistics Workbook For Dummies with Online Practice
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About This Book
Practice your way to a higher statistics score
The adage that "practice makes perfect" is never truer than with math problems. S tatistics 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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Part 1
Getting Off to a Statistically Significant Start
IN THIS PART âŚ
Get down to the basics of number crunching.
Make and interpret charts and graphs.
Crank out and understand descriptive statistics.
Develop important skills for critiquing othersâ statistics.
Chapter 1
Summarizing Categorical Data: Counts and Percents
IN THIS CHAPTER
Categorical data is data in which individuals are placed into groups or categories â 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. In this chapter, you practice making, interpreting, and evaluating frequency and relative frequency tables for categorical data.
Counting On the Frequency
One way to summarize categorical data is to simply count, or tally up, the number of individuals that fall into each category. The number of individuals in any given category is called the frequency (or count) for that category. If you list all the possible categories along with the frequency for each, you create a frequency table. The total of all the frequencies should equal the size of the sample (because you place each individual in one category).
See the following for an example of summarizing data by using a frequency table.
Person # | Cellphone | Person # | Cellphone |
1 | Y | 6 | Y |
2 | N | 7 | Y |
3 | Y | 8 | Y |
4 | N | 9 | N |
5 | Y | 10 | Y |
- Summarize this data in a frequency table.
- Whatâs an advantage of summarizing categorical data?
A. Data summaries boil down the data quickly and clearly.
- The frequency table for this data is shown in the following table.
- A data summary allows you to see patterns in the data, which arenât clear if you look only at the original data.
Own a Cellphone? | Frequency |
Y | 7 |
N | 3 |
Total | 10 |
1 You survey 20 shoppers to see what type of soft drink they like best, Brand A or Brand B. The results are: A, A, B, B, B, B, B, B, A, A, A, B, A, A, A, A, B, B, A, A. Which brand do the shoppers prefer? Make a frequency table and explain your answer.
2 A local city government asks voters to vote on a tax levy for the local school district. A total of 18,726 citizens vote on the issue. The yes count comes in at 10,479, and the rest of the voters said no.
- Show the results in a frequency table.
- Why is it important to include the total number at the bottom of a frequency table?
3 A zoo asks 1,000 people whether theyâve been to the zoo in the last year. The surveyors count that 592 say yes, 198 say no, and 210 donât respond.
- Show the results in a frequency table.
- Explain why you need to include the people who donât respond.
4 Suppose that instead of showing the number in each group, you show just the percentage (called a relative frequency). Whatâs one advantage a relative frequency table has over a frequency table?
Relating with Percentages
Another way to summarize categorical data is to show the percentage of individuals who fall into each category, thereby creating a relative frequency. The relative frequency of a given category is the frequency (number of individuals in that category) divided by the total sample size, multiplied by 100 to get the percentage. For example, if you survey 50 people and 10 are in favor of a certain issue, the relative frequency of the âin-fa...
Table of contents
- Cover
- Table of Contents
- Introduction
- Part 1: Getting Off to a Statistically Significant Start
- Part 2: Probability, Distributions, and the Central Limit Theorem (Are You Having Fun Yet?)
- Part 3: Guesstimating and Hypothesizing with Confidence
- Part 4: Statistical Studies and the Hunt for a Meaningful Relationship
- Part 5: The Part of Tens
- Appendix: Tables for Reference
- Index
- About the Author
- Advertisement Page
- Connect with Dummies
- End User License Agreement