What is a p-value anyway?: 34 stories to help you actually understand statistics
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boston [u.a.]
Addison-Wesley
2010
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| Edition: | 1. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis Inhaltsverzeichnis |
| Physical Description: | XII, 212 S. zahlr. Ill. und graph. Darst. 24 cm |
| ISBN: | 9780321629302 0321629302 |
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MARC
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| 245 | 1 | 0 | |a What is a p-value anyway? |b 34 stories to help you actually understand statistics |c Andrew Vickers |
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Record in the Search Index
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| adam_text | Titel: What is a p-value anyway?
Autor: Vickers, Andrew
Jahr: 2010
Contents
Introduction
How to Read this Book......................................ix
1 I teil a friend that my job is more fun than you d think: What is
statistics?..............................................1
Describing Data
2 So Bill Gates walks into a diner: On means and medians.........4
3 Bill Gates goes back to the diner: Standard deviation
and interquartile ränge....................................i
4 A skewed shot, a biased referee............................12
5 You can t have 2.6 children: On different types of data...........16
6 Why your high school math teacher was right: How to draw
a graph................................................21
Data Distributions
7 Chutes-and-ladders and serum hemoglobin levels: Thoughts
on the normal distribution.................................26
8 If the normal distribution is so normal, how come my data
never are?.............................................32
9 But I like that sweater: What amount of fit is a good enough
fit?...................................................37
Variation of Study Results: Confidence Intervals
10 Long hair. A Standard error of the older male..................41
11 How to avoid a rainy wedding: Variation and confidence
intervals..............................................46
12 Statistical ties, and why you shouldn t wear one: More on
confidence intervals.....................................50
vi Contents
Hypothesis Testing
13 Choosing a route to cycle home: What p-values do for us........54
14 The probability of a dry toothbrush: What is a p-value anyway?.... 57
15 Michael Jordan won t accept the null hypothesis:
How to interpret high p-values.............................61
16 The difference between Sports and business: Thoughts
on the t test and the Wilcoxon test..........................64
17 Meeting up with friends: On sample size, precision and
Statistical power........................................70
Regression and Decision Making
18 When to visit Chicago: About linear and logistic regression.......77
19 My assistant turns up for work with shorter hair: About
regression and confounding...............................84
20 I ignore my child s cough, my wife panics: About specificity
and sensitivity..........................................90
21 Avoid the sales: Statistics to help make decisions..............95
Some Common Statistical Errors, and What TheyTeach Us
22 One better than Tommy John: Four Statistical errors, some
of which are totally trivial, but all of which matter a great deal.....99
23 Weed control for p-values: A Single scientific question
should be addressed by a Single Statistical test...............102
24 How to shoot a TV episode: Statistical analyses
that don t provide meaningful numbers......................105
25 Sam, 93 years old, 700 pound Florida super-granddad:
Two common errors in regression..........................110
26 Regression to the Mike: A Statistical explanation
of why an eligible friend of mine is still Single.................116
27 OJ Simpson, Sally Clark, George and me: About conditional
probability.............................................119
28 Boy meets girl, girl rejects boy, boy Starts multiple testing.......124
Contents vii
29 Some things that have never happened to me: Why you
shouldn t compare p-values...............................130
30 How to win the marathon: Avoiding errors when measuring
things that happen over time..............................133
31 The difference between bad statistics and a bacon sandwich:
Are there rules in statistics?............................139
32 Look at your garbage bin: It may be the only thing you need
to know about statistics..................................142
33 Numbers that mean something: Linking math and science......147
34 Statistics is about people, even if you can t see the tears........151
Discussion Section Answers................................154
Credits and References.....................................209
Index....................................................211
|
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| genre_facet | Einführung |
| id | DE-604.BV040454718 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:24:17Z |
| institution | BVB |
| isbn | 9780321629302 0321629302 |
| language | English |
| lccn | 2009030057 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025302302 |
| oclc_num | 699914905 |
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| owner | DE-19 DE-BY-UBM |
| owner_facet | DE-19 DE-BY-UBM |
| physical | XII, 212 S. zahlr. Ill. und graph. Darst. 24 cm |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Addison-Wesley |
| record_format | marc |
| spelling | Vickers, Andrew Verfasser aut What is a p-value anyway? 34 stories to help you actually understand statistics Andrew Vickers 1. ed. Boston [u.a.] Addison-Wesley 2010 XII, 212 S. zahlr. Ill. und graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Statistik (DE-588)4056995-0 gnd rswk-swf Statistical hypothesis testing Probability measures (DE-588)4151278-9 Einführung gnd-content Statistik (DE-588)4056995-0 s DE-604 DE-601 pdf/application http://www.gbv.de/dms/bowker/toc/9780321629302.pdf Inhaltsverzeichnis HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025302302&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Vickers, Andrew What is a p-value anyway? 34 stories to help you actually understand statistics Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4151278-9 |
| title | What is a p-value anyway? 34 stories to help you actually understand statistics |
| title_auth | What is a p-value anyway? 34 stories to help you actually understand statistics |
| title_exact_search | What is a p-value anyway? 34 stories to help you actually understand statistics |
| title_full | What is a p-value anyway? 34 stories to help you actually understand statistics Andrew Vickers |
| title_fullStr | What is a p-value anyway? 34 stories to help you actually understand statistics Andrew Vickers |
| title_full_unstemmed | What is a p-value anyway? 34 stories to help you actually understand statistics Andrew Vickers |
| title_short | What is a p-value anyway? |
| title_sort | what is a p value anyway 34 stories to help you actually understand statistics |
| title_sub | 34 stories to help you actually understand statistics |
| topic | Statistik (DE-588)4056995-0 gnd |
| topic_facet | Statistik Einführung |
| url | http://www.gbv.de/dms/bowker/toc/9780321629302.pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025302302&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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