Luis Saldanha (Canada Lâ Universite du Quebec a Montreal), Neil J. Hatfield (USA Pennsylvania State University), Egan J Chernoff (Canada University of Saskatchewan)
The Learning and Teaching of Statistics and Probability
A Perspective Rooted in Quantitative Reasoning and Conceptual Coherence
46,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in über 4 Wochen
Melden Sie sich
hier
hier
für den Produktalarm an, um über die Verfügbarkeit des Produkts informiert zu werden.
Luis Saldanha (Canada Lâ Universite du Quebec a Montreal), Neil J. Hatfield (USA Pennsylvania State University), Egan J Chernoff (Canada University of Saskatchewan)
The Learning and Teaching of Statistics and Probability
A Perspective Rooted in Quantitative Reasoning and Conceptual Coherence
- Broschiertes Buch
Filled with practical learning activities to adopt within your classroom, this book places reasoning about quantification at the core of learning and teaching statistics.
Andere Kunden interessierten sich auch für
- Luis Saldanha (Canada Lâ Universite du Quebec a Montreal)The Learning and Teaching of Statistics and Probability170,99 €
- Katie Walsh (Ireland Talking Buddies)The Reading Aloud Resource Book174,99 €
- BLAM UKGlobal Black Narratives for the Classroom: Britain and Europe23,99 €
- Jim NobleMathematics Lessons to Look Forward To!14,99 €
- Ronald T. KneuselThe Art of Randomness30,99 €
- Fay LewisMastery and Depth in Primary Mathematics123,99 €
- Fay LewisMastery and Depth in Primary Mathematics21,99 €
-
-
-
Filled with practical learning activities to adopt within your classroom, this book places reasoning about quantification at the core of learning and teaching statistics.
Produktdetails
- Produktdetails
- IMPACT: Interweaving Mathematics Pedagogy and Content for Teaching
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 152
- Erscheinungstermin: 8. Dezember 2023
- Englisch
- Abmessung: 156mm x 235mm x 14mm
- Gewicht: 264g
- ISBN-13: 9780367654863
- ISBN-10: 0367654865
- Artikelnr.: 68712407
- IMPACT: Interweaving Mathematics Pedagogy and Content for Teaching
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 152
- Erscheinungstermin: 8. Dezember 2023
- Englisch
- Abmessung: 156mm x 235mm x 14mm
- Gewicht: 264g
- ISBN-13: 9780367654863
- ISBN-10: 0367654865
- Artikelnr.: 68712407
Luis Saldanha is a professor of Didactics of Mathematics in the department of mathematics at l'Université du Québec à Montréal, Canada. His research focuses on mathematical thinking, specifically the development of students' statistical reasoning in relation to their engagement with instruction designed to foster their understanding of statistical concepts. Neil J. Hatfield is an assistant research professor in the Department of Statistics at Pennsylvania State University, U.S.A. His main research interests focus on cognition related to the concept of distribution; the teaching of statistics, data science, and probability; and diversity, equity, and inclusion in STEM. Egan J. Chernoff is a professor of Mathematics Education at the University of Saskatchewan, Canada. His editorial affiliations include Statistics Education Research Journal; The Mathematics Enthusiast; Mathematical Thinking and Learning; Journal of Mathematical Behavior; Canadian Journal of Science, Mathematics, and Technology Education; and more. Caterina Primi is a full professor in Psicometria at the Faculty of Psychology at the University of Florence, Italy. She is an experienced teacher of graduate, post-graduate, and PhD level courses in statistics, research methods, and psychological testing.
Introduction
1. Individual Cases, Attributes, and Data
2. Collections of Cases, Attributes of Collections, and Measures of Such Attributes
3. Samples, Populations, and Quantifying their Variation
4. Processes, Randomness, and Probability
5. Sampling Distributions and Statistical Inference
Appendix
Index
1. Individual Cases, Attributes, and Data
2. Collections of Cases, Attributes of Collections, and Measures of Such Attributes
3. Samples, Populations, and Quantifying their Variation
4. Processes, Randomness, and Probability
5. Sampling Distributions and Statistical Inference
Appendix
Index
Introduction
1. Individual Cases, Attributes, and Data
2. Collections of Cases, Attributes of Collections, and Measures of Such Attributes
3. Samples, Populations, and Quantifying their Variation
4. Processes, Randomness, and Probability
5. Sampling Distributions and Statistical Inference
Appendix
Index
1. Individual Cases, Attributes, and Data
2. Collections of Cases, Attributes of Collections, and Measures of Such Attributes
3. Samples, Populations, and Quantifying their Variation
4. Processes, Randomness, and Probability
5. Sampling Distributions and Statistical Inference
Appendix
Index