Get The EPUB Reasoning with Statistics How to Read Quantitative Research
Copy Link Download : https://sdl.anmtresawapo43.com/?book=0155068156 Book Description: This text is designed to help students become knowledgeable readers of cross-curriculum quantitative research literature. It provides a clear inviting view of quantitative research strategies for those students who may or may not have a mathematical background. The authors impart a conceptual understanding rather than teach calculational methods. The text can be used as a supplement for a basic statistics course or for any course requiring students to read and digest quantitative research literature. Examples are cross-curriculum and generic. Its strength is that it is very brief and doesn't overwhelm with too much detail.
Copy Link Download :
https://sdl.anmtresawapo43.com/?book=0155068156
Book Description:
This text is designed to help students become knowledgeable readers of cross-curriculum quantitative research literature. It provides a clear inviting view of quantitative research strategies for those students who may or may not have a mathematical background. The authors impart a conceptual understanding rather than teach calculational methods. The text can be used as a supplement for a basic statistics course or for any course requiring students to read and digest quantitative research literature. Examples are cross-curriculum and generic. Its strength is that it is very brief and doesn't overwhelm with too much detail.
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Reasoning with Statistics: How to Read
Quantitative Research
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Author : Peter R. Monge
Pages : 240 pages
Publisher : Cengage Learning
Language :
ISBN-10 : 0155068156
ISBN-13 : 9780155068155
Sipnosis Books
This text is designed to help students become knowledgeable readers of cross-curriculum quantitative
research literature. It provides a clear inviting view of quantitative research strategies for those students who
may or may not have a mathematical background. The authors impart a conceptual understanding rather
than teach calculational methods. The text can be used as a supplement for a basic statistics course or for
any course requiring students to read and digest quantitative research literature. Examples are crosscurriculum
and generic. Its strength is that it is very brief and doesn't overwhelm with too much detail.
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