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Ebooks
2019
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Publié par
Date de parution
28 juin 2019
Nombre de lectures
2
EAN13
9780743924351
Langue
English
Poids de l'ouvrage
2 Mo
Publié par
Date de parution
28 juin 2019
EAN13
9780743924351
Langue
English
Poids de l'ouvrage
2 Mo
1. Ho w a re meas ures of c en ter diffe ren t from me asures o f
va r ia b i l it y?
2 . Wh ic h d ata disp la ys c an a nd cannot be used t o determ ine
numbers of obser vations ? Why ?
3. What co nc lus i ons can y ou make abo ut da ta by analy zing the
sha pes o f their disp la y s ?
4. S alatur say s, “T o fi nd the mean o f a data set, I need to kno w
the num ber o f ob serva tio ns . B u t to find the median, I do no t. ”
Do y ou agree wi th h is reaso ning ? W hy ?
5. Do o utli ers ha v e a greater impac t on the mean or m edian of a
data set ? W hy ?
6. What k inds o f data m igh t need to be co l lected b y a n
or ganizatio n that tra ins w or k ing do gs ? Describe a p lan fo r
or ganizi ng and analy zing the data.
M a t h Ta l k
Lisa Ma cDona ld
Summarizing Data
T eacher Cr eated Materials
5301 Oceanus Drive
Huntington Beach, CA 92649-1030
www.tcmpub .com
© 2019 T eacher Created Materials, Inc.
C ontributing A uthor
Alison S. Marzocchi, Ph.D .
C onsultant
Colleen P ollitt, M.A.Ed.
Math Support T eacher
Howard Coun ty Public Schools
Publishing Credits
Rachelle Cracchiolo, M.S.Ed ., Publisher
Conni Medina, M.A.Ed., Editor in Chief
Dona Herweck Rice, Series Developer
Emily R. Smith, M.A.Ed., Series Developer
Diana Kenney , M.A.Ed., NBCT , Content Director
Stacy Monsman, M.A., Editor
Michelle Jovin, M.A., Associate Editor
F abiola Sepulveda, Graphic Designer
Image Credits: p.7 (t op) Akimov Igor/Shutterstock; p.7 (middle) Steve Skjold/Alamy;
p.7 (bottom) Belish/Shutterstock; p .8 (bottom left) Rich T Photo/Shutt erstock; p.8
(bottom right) Akimov Igor/Shutterstock; p.9 (bottom) C ylonphoto/iStock; p.11
(top left) Jim Holden/Alamy; p.11 (top right) Lee Busby/Mirrorpix/Newscom; p .11
(bottom) P A Images/Alamy; p.14, p.15 (top) AP Photo/Allen G. Breed; p .15 ( bottom)
T rong Nguyen/Shutterstock; p .17 (top) Stocktrek Images, Inc./Alamy; p.17 (bottom)
deepspace/Shutterstock; p.19 (top) Elf/W ikimedia Commons; p.20 U .S. Air For ce, photo
by T ech. Sgt. N ieko Carzis; p.21 (both) United States Marine Corps photo b y Cpl. T om
Sloan; p.2 (top) Imagine China/Newscom; p .22 (bottom) Bill Greenblatt/UPI/Newsc om;
p.24 (middle) Oleksii Chumachenko/Shutterstock; p .24 (bottom) Belish/Shutterstock;
p.26 (bottom) L eonard Zhukovsky/Shutterstock; all other images from iStock and/or
Shutterstock.
Library of Congress Ca taloging-in-Publication Data
Names: MacDonald, Lisa, author .
Title: W orking dogs : summarizing data / Lisa MacDonald.
Description: Huntington Beach, CA : T eacher Created Mat erials, [2019] |
Series: Amazing animals | Audience: Grade 4 to 6. | Includes index. |
Identifiers: L CCN 2018051882 (print) | L CCN 2018052960 (ebook) | ISBN
9781425855390 (eBook) | ISBN 9781425858957 (paperback)
Subjects: LCSH: Working dogs--Juvenile literatur e.
Classification: L CC SF428.2 (ebook) | L CC SF428.2 .M28 2019 (print) | DDC
636.7/0886--dc23
L C record available a t https://lccn.loc.gov/2018051882
ISBN978-0-7439-2435-1
T abl e of Con ten ts
W agg i ng a nd W or k i ng .................................................... 4
Assista nce D ogs ............................................................. 6
Ot her W ork ing Dogs .................................................... 16
Ca n i ne Her oe s .............................................................. 26
P ro bl e m S olv i ng ........................................................... 28
Glos s a r y ....................................................................... 30
I nd ex ............................................................................. 31
A n s we r K e y .................................................................. 32
3