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The Resource Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist, Howard Wainer, National Board of Medical Examiners

Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist, Howard Wainer, National Board of Medical Examiners

Label
Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist
Title
Truth or truthiness
Title remainder
distinguishing fact from fiction by learning to think like a data scientist
Statement of responsibility
Howard Wainer, National Board of Medical Examiners
Creator
Contributor
Author
Subject
Genre
Language
eng
Cataloging source
NhCcYBP
Dewey number
001.4/2
Index
index present
LC call number
BF441
LC item number
.W29 2016
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Label
Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist, Howard Wainer, National Board of Medical Examiners
Link
http://site.ebrary.com/lib/byuprovo/docDetail.action?docID=11128596
Instantiates
Publication
Note
Description based on print version record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
Machine generated contents note: Part I. Thinking Like a Data Scientist: 1. How the rule of 72 can provide guidance to advance your wealth, your career and your gas mileage; 2. Piano virtuosos and the four-minute mile; 3. Happiness and causal inference; 4. Causal inference and death; 5. Using experiments to answer four vexing questions; 6. Causal inferences from observational studies: fracking, injection wells, earthquakes, and Oklahoma; 7. Life follows art: gaming the missing data algorithm; Part II. Communicating Like a Data Scientist: 8. On the crucial role of empathy in the design of communications: genetic testing as an example; 9. Improving data displays: the media's, and ours; 10. Inside-out plots; 11. A century and a half of moral statistics: plotting evidence to affect social policy; Part III. Applying the Tools of Data Science to Education: 12. Waiting for Achilles; 13. How much is tenure worth?; 14. Detecting cheating badly: if it could have been, it must have been; 15. When nothing is not zero: a true saga of missing data, adequate yearly progress, and a Memphis charter school; 16. Musing about changes in the SAT: is the college board getting rid of the bulldog?; 17. For want of a nail: why worthless subscores may be seriously impeding the progress of western civilization
Dimensions
unknown
Extent
1 online resource.
Form of item
online
Isbn
9781316491195
Isbn Type
(electronic bk.)
Media category
computer
Media MARC source
rdamedia
Reproduction note
Electronic reproduction.
Specific material designation
remote
System control number
(OCoLC)ocn936414467
Label
Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist, Howard Wainer, National Board of Medical Examiners
Link
http://site.ebrary.com/lib/byuprovo/docDetail.action?docID=11128596
Publication
Note
Description based on print version record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
Machine generated contents note: Part I. Thinking Like a Data Scientist: 1. How the rule of 72 can provide guidance to advance your wealth, your career and your gas mileage; 2. Piano virtuosos and the four-minute mile; 3. Happiness and causal inference; 4. Causal inference and death; 5. Using experiments to answer four vexing questions; 6. Causal inferences from observational studies: fracking, injection wells, earthquakes, and Oklahoma; 7. Life follows art: gaming the missing data algorithm; Part II. Communicating Like a Data Scientist: 8. On the crucial role of empathy in the design of communications: genetic testing as an example; 9. Improving data displays: the media's, and ours; 10. Inside-out plots; 11. A century and a half of moral statistics: plotting evidence to affect social policy; Part III. Applying the Tools of Data Science to Education: 12. Waiting for Achilles; 13. How much is tenure worth?; 14. Detecting cheating badly: if it could have been, it must have been; 15. When nothing is not zero: a true saga of missing data, adequate yearly progress, and a Memphis charter school; 16. Musing about changes in the SAT: is the college board getting rid of the bulldog?; 17. For want of a nail: why worthless subscores may be seriously impeding the progress of western civilization
Dimensions
unknown
Extent
1 online resource.
Form of item
online
Isbn
9781316491195
Isbn Type
(electronic bk.)
Media category
computer
Media MARC source
rdamedia
Reproduction note
Electronic reproduction.
Specific material designation
remote
System control number
(OCoLC)ocn936414467

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